SaaS and PaaS Archives - ITDigest https://itdigest.com/topic/cloud-computing-mobility/saas-paas/ IT Explained Fri, 09 Oct 2026 06:33:23 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.3 https://itdigest.com/wp-content/uploads/2025/07/cropped-ITDIGEST-LOGO-01-1-copy-1-32x32.png SaaS and PaaS Archives - ITDigest https://itdigest.com/topic/cloud-computing-mobility/saas-paas/ 32 32 ITDigest’s Interview With Fredrik Gessler, Head of Product Management, API @ Vonage https://itdigest.com/interviews/itdigests-interview-with-fredrik-gessler-head-of-product-management-api-vonage/ Thu, 08 Oct 2026 14:11:55 +0000 https://itdigest.com/?p=83945 The post ITDigest’s Interview With Fredrik Gessler, Head of Product Management, API @ Vonage appeared first on ITDigest.

]]>

The key to building a durable business comes down to one simple question, are we able to solve a customer need, at scale? An API that can be demonstrated to solve a customer need will gain attention.

Fredrik, your career has moved across product management, business strategy, customer relationships, partnerships, and large-scale network leadership. What early experience still shapes how you distinguish between technology that is impressive and technology that creates lasting customer value?

Over the years, what continues to be a clear sign of technology that resonates and that has lasting power is simplicity in adoption. If a capability requires the customer to fundamentally change how they work to benefit, adoption is always an uphill struggle. If it slots into a workflow they already have and a need they have in their business, the path to value is much shorter. That discipline starting from the customer’s reality rather than the technology’s potential is something I try to bring into every product conversation I have today.

You spent several years leading Network Systems and Verification at Ericsson, with responsibility for architecture, quality, performance, and more than 1,500 engineers. What did working at that scale teach you about removing unnecessary complexity without losing the technical depth that makes a network dependable?

Complexity for its own sake never works but oversimplification is not the answer either. What I have learned is that the two are not mutually exclusive if you are disciplined about where and how complexity makes sense. The complexity belongs inside the system, managed by the people who understand it best. What faces outward whether that is an interface, a process, or an API should be as clean and simple as possible. The engineering depth does not disappear; but is abstracted to the right level. That principle has directly shaped how I think about Network APIs today. The sophistication of a mobile network is extraordinary, and that sophistication is what makes the capability valuable. Our job is to make it accessible.

Your time with Swisscom brought you close to both network strategy and customer experience, including the early rollout of 5G in Europe. What did that partnership teach you about the gap between what a network can technically deliver and what customers actually experience as valuable?

Switzerland is probably one of the most challenging countries in the world to build and run mobile networks considering its topology combined with strict regulation on radio emissions. At the same time, Swiss subscribers tend to be highly quality and performance sensitive. They expect coverage, high data speeds, excellent voice quality whether in downtown Zurich, hiking the Alps, or traversing the country’s valleys and tunnels by train. Our joint mission, in the virtual joint venture between Swisscom and Ericsson, was to deliver on customer expectations under those challenging conditions. Success was visibly measured in public benchmarks, where we were proud to emerge as clear winners across all types of benchmarks over a period of many years and the first European operator to launch 5G services. My learning from this remarkable achievement is that you need a combination of deep expertise, performant products and services, and a highly dedicated team that is performing at its best. This is what Swisscom and Ericsson were able to bring together, and this is what Vonage is committed to in the CPaaS industry.

You now work on making capabilities that once lived deep inside the mobile network accessible through APIs. When you look at a new network capability, what tells you it is ready to become something developers and enterprises should be able to build into their products?

There are a few signals I look for. The first is standardization, whether the capability is expressed through a consistent, interoperable framework such as CAMARA, which means a developer does not have to learn a different integration for every operator. The second is whether the capability solves a real problem that developers and enterprises are already trying to solve, even imperfectly. SIM Swap detection is a good example: enterprises were already trying to address account takeover risk through other means, and network-level signals give them something significantly more reliable. The third, and perhaps most important, is whether we can abstract the operational complexity sufficiently. The carrier registration, the consent frameworks, the geographic variation, so that a developer can access the capability without needing to become a telecom specialist. When all three conditions are met, the capability is ready to move from the network into the product layer.

Open Gateway now spans more than 300 mobile networks representing over 80% of global mobile connections. As that ecosystem scales, what becomes possible for developers and enterprises when network capabilities can be accessed through a common platform rather than through fragmented operator-by-operator integrations?

Fragmentation has historically been the single biggest obstacle to developer adoption of network capabilities. The underlying capabilities existed, but accessing them meant a different negotiation, a different integration, and a different contract with each operator. Most developers simply could not justify that investment, and most enterprises could not operationalize it at scale. What Open Gateway changes is the addressable reach. When a developer writes once to a standardized API and can reach the majority of global mobile connections through a single integration, the economics of building on network capabilities become fundamentally different. Applications that depend on real-time network intelligence – fraud prevention, identity verification, quality-of-service management – can now be designed with genuine global reach from the outset. That shift from fragmented to federated is what unlocks the market, and it is what we are focused on at Vonage: ensuring that our platform sits at that point of access, so that complexity stays on our side of the integration and developers can simply build.

Much of your earlier career involved business cases, pricing, profitability, customer value, and P&L, while your current work spans communications and Network APIs. When you look at this market commercially, what separates an API that attracts attention from one that can become a durable business for developers, enterprises, and operators?

The key to building a durable business comes down to one simple question, are we able to solve a customer need, at scale? An API that can be demonstrated to solve a customer need will gain attention. However, for it to offer a real business value, for us and for our customers, it has to scale. This involves aspects such as ease of adoption, performance and reliability, and of course hitting the right cost points for the business case to fly.

You recently wrote about using network-level signals such as SIM Swap and number verification to strengthen digital identity. As fraud prevention becomes an early Network API use case, where do you see the biggest opportunity to make digital trust stronger while making the user experience feel simpler rather than more restrictive?

The fundamental challenge in fraud prevention has always been that the measures designed to protect customers often create the most friction for them. SMS one-time passwords are a useful illustration: they were introduced as a security layer, but they are increasingly exploited through SIM swapping and social engineering, and they add a step the customer has to complete every time. Network-level signals work differently because they operate silently in the background. A bank can check whether a SIM swap has occurred on a device in the last 48 hours before authorizing a high-value transaction without imposing a manual interaction on the customer. If the signal is clean, the journey is frictionless. If the signal is anomalous, the additional step is justified. That is the model I find most compelling: using the network to make invisible the checks that should be invisible, and reserving friction for the moments where it corresponds to genuine risk. The opportunity is to make customers feel more trusted by their institutions, not less, precisely because the underlying verification is more robust.

Vonage now brings communications APIs, Network APIs, fraud prevention, and developer tooling into a broader API platform. What becomes possible when these capabilities are designed as one connected developer experience, rather than asking developers to navigate the underlying complexity of telecom themselves?

The telecom stack is genuinely complex carrier relationships, network registration requirements, consent frameworks, geographic variation in operator coverage. When we absorb that complexity inside the platform and expose a unified developer experience on top, we fundamentally change what developers can build and how quickly they can build it. A developer building a financial services application today can use our messaging capabilities to communicate with their customers, our network APIs to verify identity and detect fraud signals, and our quality-of-service tools to manage connectivity for critical transactions – all through a single integration layer, with consistent authentication, consistent documentation, and consistent support. What that enables is not just convenience: it enables a class of application that could not previously be built without multiple specialist vendor relationships and significant integration engineering. The platform becomes the capability. I think that shift – from APIs as individual tools to APIs as a connected infrastructure – is where the most interesting enterprise value gets created over the next few years.

AI is changing not only what applications can do, but also how they interact with infrastructure. As AI agents increasingly discover and use services on behalf of users, what changes for API design when the consumer of a network capability is no longer always a human developer?

This is one of the more consequential design questions facing the API industry right now. When a human developer integrates an API, they bring context, judgement, and a degree of interpretive flexibility. They can read documentation, make inferences, and course correct. When an AI agent is discovering and invoking capabilities dynamically, the requirements shift significantly. The API needs to be self-describing in a way that a machine can act on reliably. The authentication and consent models need to handle non-human actors. The rate limiting, error handling, and fallback behavior need to be deterministic rather than recoverable through human intervention. At Vonage, we are adapting our platform design for agentic consumption – not just exposing network capabilities but expressing them in ways that AI systems can discover, evaluate, and use safely and appropriately. APIs that are not designed with this in mind will become harder to use as AI-driven architectures become more prevalent, not easier.

You’ve consistently emphasized long-term improvement, quality, and finding more efficient ways to build products. As programmable networks, AI, and the next generation of telecom architecture converge, what principle from your own career do you most want to carry forward into the products you help shape?

The most enduring products are the ones that make something difficult feel straightforward to the people who depend on them. Not by hiding the difficulty but simplifying it so that it can be managed most effectively and, sometimes, removing it entirely. Mobile networks are some of the most sophisticated engineering systems humanity has built, and the programmability we are building into them through Network APIs represents a real step change in what is possible. A developer building an application in 2027 should be able to access the intelligence of a 5G network the same way they access a database or a payment processor today: reliably, predictably, with clear documentation and sensible pricing, and without needing to understand the decades of infrastructure engineering underneath it. Getting this right – technically, commercially, and operationally – is the work I care most about, and it is the standard I want to hold our products to.

Thanks Fredrik !

Fredrik Gessler is a product management leader at Vonage, where he leads product management for the company’s API business unit. His portfolio spans CPaaS solutions across messaging, voice and video, network APIs, fraud prevention, OSS/BSS capabilities, and platform innovations.
Before joining Vonage, Gessler led product management for the Global Network Platform within the Global Communications Platform business area, a key entity at the core of Aduna. He holds a PhD in Industrial Economics and Radio Communication Systems from the Royal Institute of Technology (KTH) in Stockholm, Sweden.

Vonage helps businesses make communications more flexible, intelligent, and personalized, enabling enterprises worldwide to stay connected and competitive. The company offers unified communications, contact center solutions, and programmable communications APIs, all powered by a flexible cloud communications platform.

Founded in 2001, Vonage became a wholly owned subsidiary of Ericsson in 2022 and is headquartered in Holmdel, New Jersey.

The post ITDigest’s Interview With Fredrik Gessler, Head of Product Management, API @ Vonage appeared first on ITDigest.

]]> Top SonarQube Alternatives for Enterprise SAST in 2026 https://itdigest.com/guest-post/top-sonarqube-alternatives-for-enterprise-sast-in-2026/ Wed, 12 Aug 2026 13:28:07 +0000 https://itdigest.com/?p=82705 SonarQube is widely used to enforce code quality and identify selected security issues during development. Enterprises often begin looking for a SAST alternative when application security becomes a dedicated program rather than one component of code health. The new requirements may include deeper vulnerability analysis, security-specific triage, reachability and data-flow context, secrets and dependency coverage, […]

The post Top SonarQube Alternatives for Enterprise SAST in 2026 appeared first on ITDigest.

]]> SonarQube is widely used to enforce code quality and identify selected security issues during development. Enterprises often begin looking for a SAST alternative when application security becomes a dedicated program rather than one component of code health. The new requirements may include deeper vulnerability analysis, security-specific triage, reachability and data-flow context, secrets and dependency coverage, local scanning, portfolio policy, compliance evidence and remediation workflows owned jointly by security and engineering.

This ranking focuses on security-first static application security testing. It does not assume SonarQube must be removed from every code-quality workflow. Many enterprises keep SonarQube for maintainability metrics while adopting a dedicated AppSec platform for SAST. Others prefer to consolidate quality and security in one product. The right choice depends on whether the target is a specialist SAST engine or a broader application security platform.

Aikido Security ranks first because it combines modern SAST with AI-assisted code review, broad AppSec coverage, enterprise controls and a direct route from finding to fix. Semgrep is an excellent focused alternative for customizable, fast code security, while Checkmarx, Veracode, Black Duck and Fortify offer mature enterprise SAST depth for complex programs.

Key takeaways

●  A SonarQube alternative for enterprise SAST should be evaluated on security detection, data flow, signal quality, remediation and governance – not primarily on maintainability metrics.

●  Aikido is the strongest overall option for enterprises that want SAST plus SCA, secrets, IaC, containers, DAST, API and cloud security under one governed developer workflow.

●  Semgrep is strongest for customizable modern SAST; Checkmarx, Veracode, Black Duck and Fortify are strong for mature centralized programs; Snyk and GitHub fit developer-platform strategies.

Quick comparison

Rank Tool Best fit SAST approach
1 Aikido Security Best overall SonarQube alternative for enterprise SAST Security-focused SAST combined with AI code review and broader native AppSec coverage.
2 Semgrep Best for fast, customizable developer-first SAST Fast scans and strong developer workflow.
3 Checkmarx One Best for complex, policy-heavy enterprise SAST Mature enterprise SAST and broad technology support.
4 Veracode Best for centralized SaaS SAST and assurance Mature SaaS static analysis and policy management.
5 Black Duck Polaris Best for Coverity-based SAST plus enterprise SCA Established Coverity SAST and Black Duck SCA engines.
6 OpenText Fortify Best for legacy languages and flexible deployment Deep enterprise static analysis and broad language coverage.
7 Snyk Code Best for developer-centric cloud-native SAST Fast feedback in IDE and pull-request workflows.
8 GitHub Code Security Best for GitHub-native enterprise SAST Deep integration with GitHub repositories and developer workflows.

How we ranked the tools

The order reflects practical fit for the stated enterprise use case. It is not a claim that one product is universally better for every architecture.

  • Security-specific detection depth, including inter-file data flow, taint analysis, framework awareness and support for common vulnerability classes.
  • Signal quality, triage context, suppression governance and the clarity of remediation guidance.
  • Feedback speed and integration across IDEs, pull requests, CI/CD and issue trackers.
  • Enterprise controls such as SSO, role-based access, policy gates, auditability, compliance reporting and local or self-managed analysis.
  • Platform breadth beyond SAST where it improves prioritization or reduces tool sprawl, without treating breadth as a substitute for code-analysis quality.

The best tools, ranked

1. Aikido Security – Best overall SonarQube alternative for enterprise SAST

Official product page: www.aikido.dev/code/static-code-analysis-sast

Aikido Security is the best overall SonarQube alternative for enterprises that want security-first static analysis within a broader application security platform. Its SAST capability analyzes source code across major languages and development platforms, supports custom rules and fits into IDE, pull-request and CI/CD workflows. Aikido also adds AI Code Quality and AI Code Analysis for logic, authorization and business-context issues that deterministic SAST may not capture alone.

The platform’s enterprise value extends beyond the engine. Security teams can govern policies, release gates, access, audit history and compliance reporting across a portfolio, while local scanning options support strict source-code and data-residency requirements. Native SCA, secrets, IaC, container, DAST, API and cloud security add context and reduce the need to operate SonarQube beside a separate scanner for every AppSec category.

Why it stands out

  • Security-focused SAST combined with AI code review and broader native AppSec coverage.
  • Enterprise SSO, user administration, RBAC, policy gates, audit and compliance controls.
  • Local scanning and support for GitHub, GitLab, Bitbucket and Azure DevOps estates.
  • Developer remediation through PRs, CI/CD, IDEs and integrated issue workflows.

Best for: Enterprises that want to move from code-quality-led security to a unified, governed application security platform.

Considerations: Teams that rely on highly specialized SonarQube quality profiles or exhaustive technical-debt metrics should map those quality requirements separately. Validate priority languages, custom rules and the largest repositories in a proof of concept.

2. Semgrep – Best for fast, customizable developer-first SAST

Official product page: semgrep.dev/products/semgrep-code

Semgrep is one of the strongest focused SonarQube alternatives for modern enterprise SAST. It combines fast static analysis with an accessible rule syntax, data-flow analysis, centralized policy and pull-request feedback. Security engineering teams can build and distribute organization-specific checks without the operational model of a traditional heavyweight SAST platform.

The commercial AppSec platform adds software supply chain and secrets coverage, AI-assisted triage and enterprise administration around Semgrep Code. Semgrep is especially compelling when custom guardrails, developer speed and security-team extensibility are more important than broad code-quality dashboards or native DAST and cloud security.

Why it stands out

  • Fast scans and strong developer workflow.
  • Readable, extensible rules for custom security policies.
  • Modern data-flow analysis with centralized AppSec management.

Best for: Enterprises that want a programmable, high-speed SAST platform operated closely by security engineering.

Considerations: Broader code quality, DAST, API, container and cloud posture requirements may need additional products. Custom rule programs require governance, testing and maintenance.

3. Checkmarx One – Best for complex, policy-heavy enterprise SAST

Official product page: checkmarx.com/product/application-security-platform/

Checkmarx One is a mature security-first alternative for enterprises that need deep SAST, broad language coverage and centralized policy across a large application estate. The platform also includes SCA, secrets, IaC, API and posture capabilities, allowing security teams to build a formal multi-discipline AppSec program around the static-analysis engine.

Checkmarx is particularly relevant for regulated organizations, legacy codebases and portfolios that require extensive customization. Its depth and flexibility can come with more implementation and tuning effort than developer-first tools. Buyers moving from SonarQube should test both security yield and the impact on build and developer workflows.

Why it stands out

  • Mature enterprise SAST and broad technology support.
  • Centralized policy, reporting and application governance.
  • Strong fit for regulated and heterogeneous portfolios.

Best for: Large enterprises with dedicated AppSec teams, complex policies and legacy as well as modern code.

Considerations: Plan for ruleset tuning, implementation and developer enablement. The platform may be more capability than teams need when the requirement is a focused, easily operated SAST replacement.

4. Veracode – Best for centralized SaaS SAST and assurance

Official product page: www.veracode.com/products/binary-static-analysis-sast/

Veracode is a long-standing enterprise SAST alternative with a SaaS operating model, centralized policy and mature reporting. It is a strong fit for organizations that want consistent application assurance across business units without maintaining a large self-managed scanner infrastructure.

Veracode also offers dynamic and software composition analysis, making it suitable for broader enterprise testing programs. The platform should be tested for feedback speed, build requirements and developer usability on the organization’s real technology stack. Its strengths are formal governance and assurance rather than serving as a direct replacement for every SonarQube code-quality metric.

Why it stands out

  • Mature SaaS static analysis and policy management.
  • Strong portfolio reporting and regulated-program fit.
  • Broader AST portfolio beyond SAST.

Best for: Enterprises prioritizing centralized assurance, auditability and a mature SaaS delivery model.

Considerations: Validate developer feedback loops, language and build support, and the need for adjacent code-quality tooling. Cloud, IaC and container coverage may involve separate capabilities.

5. Black Duck Polaris – Best for Coverity-based SAST plus enterprise SCA

Official product page: www.blackduck.com/platform.html

Black Duck Polaris combines Coverity static analysis with Black Duck software composition analysis and additional security capabilities in a cloud platform. It is a credible SonarQube alternative for enterprises that want mature SAST and SCA from one established vendor, especially when open-source risk and license management are major requirements.

Polaris can support centralized administration and developer workflows at scale. Existing Coverity or Black Duck customers may find it a natural consolidation path. New buyers should examine product packaging, scan architecture and how posture, DAST and remediation requirements are handled across the wider Black Duck portfolio.

Why it stands out

  • Established Coverity SAST and Black Duck SCA engines.
  • Enterprise-scale SaaS administration.
  • Strong fit for combined code and open-source risk programs.

Best for: Enterprises that want mature static analysis and SCA under a common vendor platform.

Considerations: Clarify entitlements and boundaries between Polaris, Software Risk Manager and individual scanners. Evaluate PR feedback and workflow simplicity against newer platforms.

6. OpenText Fortify – Best for legacy languages and flexible deployment

Official product page: www.opentext.com/products/static-application-security-testing

OpenText Fortify SAST is a strong SonarQube alternative for enterprises with demanding language coverage, extensive legacy code or deployment constraints. It supports cloud and self-managed operating models and is backed by a mature security research and rules ecosystem.

Fortify is most effective in a formal AppSec program with analysts and administrators who can tune rules, manage findings and integrate results into delivery. It offers depth and flexibility, but organizations moving away from SonarQube because of operating burden should compare the full administrative workload and developer experience.

Why it stands out

  • Deep enterprise static analysis and broad language coverage.
  • Flexible SaaS and on-premises deployment.
  • Strong compliance and customization capabilities.

Best for: Regulated enterprises, legacy-heavy portfolios and organizations requiring self-managed SAST.

Considerations: Expect meaningful implementation and tuning. Test incremental scan performance, issue clarity and integration into pull requests and developer tools.

7. Snyk Code – Best for developer-centric cloud-native SAST

Official product page: snyk.io/product/snyk-code/

Snyk Code is a developer-oriented SAST alternative that emphasizes fast analysis, inline explanations and remediation in IDEs and pull requests. It integrates naturally with Snyk’s open-source, container and IaC products, making it attractive to cloud-native enterprises already using the broader platform.

Compared with SonarQube, Snyk Code is more security-centered and less focused on comprehensive maintainability metrics. Enterprise buyers should evaluate the full Snyk package, role and policy model, reporting and total licensing across a large developer population.

Why it stands out

  • Fast feedback in IDE and pull-request workflows.
  • Strong connection to Snyk’s SCA, container and IaC ecosystem.
  • Developer-friendly explanations and remediation guidance.

Best for: Cloud-native enterprises that want developers to own static-analysis remediation within a broader Snyk program.

Considerations: Model total platform licensing and confirm requirements for custom rules, local analysis, legacy languages and non-SAST testing. A separate quality platform may still be useful.

8. GitHub Code Security – Best for GitHub-native enterprise SAST

Official product page: github.com/security/advanced-security

GitHub Code Security provides CodeQL-based code scanning, dependency security workflows and campaign-oriented remediation inside GitHub. It is a logical SonarQube alternative for organizations that have standardized on GitHub Enterprise and want SAST results managed directly in repositories and pull requests.

Native workflow and central GitHub administration are its main advantages. The trade-off is ecosystem dependence: non-GitHub repositories and broader AppSec layers require other tools. Enterprises should also distinguish code-security coverage from the separate secret-protection entitlement and model per-committer pricing at scale.

Why it stands out

  • Deep integration with GitHub repositories and developer workflows.
  • CodeQL query ecosystem and security campaigns.
  • Straightforward administration for GitHub-standardized estates.

Best for: Enterprises operating predominantly on GitHub and prioritizing native code scanning.

Considerations: It is not source-control neutral and does not replace broad DAST, API, cloud or multi-SCM security. Evaluate licensing and CodeQL coverage for the languages in scope.

How to choose the right platform

Define security depth requirements

List the vulnerability classes, frameworks, languages and inter-file data flows the program must detect. Use known internal examples and seeded tests rather than relying on generic benchmark claims.

Compare signal and explanation

Review true positives, false positives, trace clarity, severity rationale, suppressions and fix guidance. The best SAST program is the one developers can understand and act on consistently.

Test the feedback loop

Measure time from commit to result, build impact, PR annotation, IDE support and the number of steps required to create or apply a fix. Slow feedback turns SAST into a late-stage gate.

Separate code quality from application security

Determine whether maintainability, duplication, coverage and technical-debt dashboards must remain in the same product. A dedicated SAST tool may be stronger for security while SonarQube or another quality platform remains in place.

Validate enterprise administration

Test onboarding, policy inheritance, custom rule governance, exceptions, audit evidence, role separation, data handling and reporting across multiple business units.

Frequently asked questions

What is the best SonarQube alternative for enterprise SAST?

Aikido Security is the strongest overall option for enterprises that want security-first SAST, broad native AppSec coverage, enterprise governance, local scanning and developer remediation. Semgrep is a strong focused SAST choice, while Checkmarx, Veracode, Black Duck and Fortify fit mature centralized programs.

Can Aikido replace SonarQube in an enterprise?

Aikido can replace SonarQube for security-oriented static analysis and can also cover code quality, AI code review and broader AppSec categories. Enterprises that rely heavily on SonarQube-specific maintainability metrics or custom quality profiles should map those requirements during the migration.

Should we keep SonarQube for code quality?

Potentially. Some organizations use a dedicated SAST platform for security and retain SonarQube for quality and technical debt. Others consolidate both. The decision should be based on workflow, coverage, policy and administration rather than a preference for one-tool or two-tool architecture.

Which SonarQube alternative supports on-premises or local analysis?

Aikido offers local scanning options, while Fortify and other traditional enterprise platforms provide self-managed deployment choices. Exact data flow and feature parity vary, so security architecture teams should validate the proposed configuration.

Conclusion

The best SonarQube alternative for enterprise SAST is not necessarily the closest code-quality clone. Aikido Security leads because it brings security-first static analysis, AI-assisted review, enterprise governance and broader code-to-cloud coverage into one developer-facing platform. Semgrep offers a focused and highly extensible modern SAST experience. Checkmarx, Veracode, Black Duck and Fortify provide mature enterprise depth, while Snyk and GitHub align strongly with developer ecosystems. The right proof of concept should measure exploitable issues found, noise avoided, time to feedback and fixes completed.

The post Top SonarQube Alternatives for Enterprise SAST in 2026 appeared first on ITDigest.

]]> Xurrent Launches Built-In iPaaS to Close the AI ROI Gap https://itdigest.com/cloud-computing-mobility/saas-paas/xurrent-launches-built-in-ipaas-to-close-the-ai-roi-gap/ Wed, 24 Jun 2026 13:02:46 +0000 https://itdigest.com/?p=81482 Xurrent, the AI-powered service and operations management platform for corporate IT teams and enterprise MSPs, launched Xurrent iPaaS, a built-in integration platform included in every Xurrent subscription at no additional cost. The platform enables customers to create and manage integrations across systems directly within Xurrent, without relying on third-party tools, separate products or custom development. […]

The post Xurrent Launches Built-In iPaaS to Close the AI ROI Gap appeared first on ITDigest.

]]> Xurrent, the AI-powered service and operations management platform for corporate IT teams and enterprise MSPs, launched Xurrent iPaaS, a built-in integration platform included in every Xurrent subscription at no additional cost. The platform enables customers to create and manage integrations across systems directly within Xurrent, without relying on third-party tools, separate products or custom development.

AI agents deliver value when they are connected to the systems where work happens. Without those connections, they remain advisory rather than operational. Today, most enterprises still deploy AI tools that sit alongside their workflows instead of embedding them directly into execution, which limits measurable ROI. In fact, an analysis of 847 enterprise AI deployments published by Harvard Business Review found that tools running alongside existing workflows fail at six times the rate of tools built directly into the work.

“Integration is the connective tissue that turns AI from advice into action,” said Brian Wenngatz, CEO of Xurrent. “Without it, an AI agent is an expensive demo with nothing to act on. We built our iPaaS so every agent in Xurrent can reach the systems where work actually happens and do something about it, not just make recommendations.”

Xurrent iPaaS was purpose-built for the agentic era of ITSM. It treats incidents, change requests, service catalogs and CMDB records as first-class objects rather than generic data. Customers start from pre-built solutions and customize them to fit their own workflows, as no integration is truly one-size-fits-all.

Also Read: FPT Launches Flezi Foundry™, Advancing AI-Augmented Delivery for Global Enterprises

In practice, when a critical system starts to fail, Xurrent can open the incident, alert the right people, and bring Sera AI agents into investigation before an engineer joins the call. If external systems need to be brought in, that can happen through the iPaaS layer.

Key capabilities include:

  • Connecting Xurrent to systems such as ServiceNow, Jira, Okta, ClickUp, Google Drive, and other enterprise tools
  • Automating workflows including account provisioning, access management, and incident routing
  • Enriching incident response with CMDB data and cross-system context
  • Syncing work between ITSM and development tools without manual reconciliation
  • Managing integrations directly within Xurrent without external iPaaS platforms or custom code

The launch sets Xurrent apart from the three approaches that dominate ITSM integration today. Most ITSM vendors rent a general-purpose iPaaS, embedding it under their own brand and charging on task or recipe consumption. A few license integration as a separate product, with its own skill set and sales cycle. The rest ship a fixed library of hand-coded integrations and leave customers to file a feature request whenever their needs differ. Xurrent took the longer path: one platform, one roadmap, one vendor, with the iPaaS included at no extra cost.

“Most vendors resell a generic integration platform and send customers a second bill to use it,” said Phil Christianson, Chief Product Officer at Xurrent. “Ours is native to Xurrent and purpose-built for ITSM, so it treats incidents, changes, and service requests as first-class work rather than generic data and customers do not foot the bill for it separately.”

Xurrent is also developing an AI-powered integration builder that will soon allow customers to create integrations by describing what they want in natural language.

Source: PRNewswire

The post Xurrent Launches Built-In iPaaS to Close the AI ROI Gap appeared first on ITDigest.

]]> Hivelocity Launches Bare Metal Cloud Suite to Deliver Predictable Cloud Economics https://itdigest.com/quick-byte/hivelocity-launches-bare-metal-cloud-suite-to-deliver-predictable-cloud-economics/ Mon, 08 Jun 2026 11:50:31 +0000 https://itdigest.com/?p=81011 Hivelocity, a leading provider of bare metal infrastructure and cloud hosting, has recently unveiled its SaaS Bundle, a one-stop-shop bare metal cloud package that has been designed to deliver the automated workflow of traditional public clouds and the cost predictability and dedicated performance of bare metal economics. It focuses on high-volume, compute-heavy uses like AI, […]

The post Hivelocity Launches Bare Metal Cloud Suite to Deliver Predictable Cloud Economics appeared first on ITDigest.

]]> Hivelocity, a leading provider of bare metal infrastructure and cloud hosting, has recently unveiled its SaaS Bundle, a one-stop-shop bare metal cloud package that has been designed to deliver the automated workflow of traditional public clouds and the cost predictability and dedicated performance of bare metal economics. It focuses on high-volume, compute-heavy uses like AI, data analytics, and large-scale SaaS environments by matching dedicated physical hardware with automated launch pipelines, API-driven scaling, and full-fledged cloud management tools. A major enterprise challenge is solved by Hivelocity offering a fully revealed, fixed-monthly billing structure, thereby putting an end to the usually unpredictable data egress fees and variable resource charges that often lead to public cloud cost inflation.

Also Read: IBM Cloud Unveils Sovereignty Risk Profile to Strengthen AI and Data Compliance

Highlighting the strategic impact of this deployment model on enterprise operations, Richard Nicholas, CEO of Hivelocity, stated, “Our new SaaS Bundle represents the convergence of cloud-native automation and bare metal performance. For companies managing data-intensive workflows, public cloud costs have become an erratic, major operational burden. With this suite, we are giving organizations the automated deployment and scaling capabilities they expect from the public cloud, but with the dedicated power, security, and absolute price predictability that only bare metal infrastructure can provide. It is designed to change how growing technology companies scale their operations without compromising their bottom line.” Ultimately, by bridging operational flexibility with infrastructure-level transparency, Hivelocity provides digital businesses with a scalable, highly reliable alternative to public cloud hyper-scalers, enabling predictable financial management alongside uncompromised performance.

Read More: Hivelocity Launches SaaS Bundle – Cloud Workflow, Bare Metal Economics, Predictable Bill

The post Hivelocity Launches Bare Metal Cloud Suite to Deliver Predictable Cloud Economics appeared first on ITDigest.

]]> AppOmni Unveils Marlin AI to Automate SaaS Security Investigations and Remediation https://itdigest.com/cloud-computing-mobility/saas-paas/appomni-unveils-marlin-ai-to-automate-saas-security-investigations-and-remediation/ Wed, 27 May 2026 13:02:05 +0000 https://itdigest.com/?p=80687 AppOmni has introduced Marlin AI™, a new autonomous AI-powered SaaS security solution designed to help organizations detect, investigate, and remediate security threats more efficiently. The launch marks a significant step in the evolution of SaaS security, enabling teams to move away from manual analysis and toward automated threat investigation and guided response. Built on AppOmni’s […]

The post AppOmni Unveils Marlin AI to Automate SaaS Security Investigations and Remediation appeared first on ITDigest.

]]> AppOmni has introduced Marlin AI™, a new autonomous AI-powered SaaS security solution designed to help organizations detect, investigate, and remediate security threats more efficiently. The launch marks a significant step in the evolution of SaaS security, enabling teams to move away from manual analysis and toward automated threat investigation and guided response.

Built on AppOmni’s extensive visibility into SaaS environments, Marlin AI analyzes security signals across applications, correlates indicators, and conducts in-depth investigations without requiring extensive manual intervention. The platform aims to reduce the time security teams spend identifying and validating threats, allowing them to focus on higher-value security initiatives.

“The goal of Marlin AI is simple: automate and simplify security correlations and investigations to quickly solve SaaS threats,” said Melissa Ruzzi, Senior Director of AI at AppOmni. “General AI tools can’t make sense of complex SaaS environments. Marlin AI looks deeper into SaaS than any other solution, helping teams understand what matters most and take action faster.”

Also Read: DoControl Introduces First-of-Its-Kind Security Controls for Google Gemini Gems

Marlin AI is aimed at enhancing operational effectiveness by minimizing mean time to investigate (MTTI) and mean time to remediate (MTTR). It is fully autonomous and does not require any configuration on the part of users but begins generating insights straight away. With the use of Marlin, companies will be able to detect threats faster and improve their general SaaS security position.

Some of the capabilities provided by Marlin include AI-powered threat correlation, automated investigation of security incidents, and automatic remediation. The AppOmni Labs intelligence is used to find out any new SaaS risks and verify threats prior to any escalation.

The launch of Marlin is highly appreciated by security experts since it addresses a relevant challenge faced by many companies. Indeed, the number of security alerts and activities performed by AI agents is growing, making it difficult for organizations to handle risks.

“AI agents move at machine speed and generate growing volumes of activity and alerts,” said Todd Thiemann, Principal Analyst at Omdia. “Security teams need a more intelligent way to prioritize and respond effectively. Marlin AI helps organizations navigate this new reality by turbocharging how existing AppOmni customers manage SaaS security while providing new customers with a superior path to operational maturity. It’s an elegant approach to SaaS security and a powerful example of how purpose-built AI can deliver meaningful security outcomes at scale.”

The launch underscores a broader trend toward AI-powered cybersecurity platforms that combine automation, intelligence, and guided remediation to help organizations manage increasingly sophisticated SaaS security challenges.

The post AppOmni Unveils Marlin AI to Automate SaaS Security Investigations and Remediation appeared first on ITDigest.

]]> FPT Launches Flezi Foundry™, Advancing AI-Augmented Delivery for Global Enterprises https://itdigest.com/cloud-computing-mobility/saas-paas/fpt-launches-flezi-foundry-advancing-ai-augmented-delivery-for-global-enterprises/ Mon, 25 May 2026 12:01:03 +0000 https://itdigest.com/?p=80601 Global IT corporation FPT announced the launch of Flezi Foundry™ (FPT Digital Foundry™), an AI-augmented delivery platform for software development and IT operations. Built around a governed Service-as-a-Software model, the platform combines autonomous AI agents, human expert oversight, secure infrastructure, and outcome-based delivery mechanisms to help enterprises modernize technology delivery as AI agents become part […]

The post FPT Launches Flezi Foundry™, Advancing AI-Augmented Delivery for Global Enterprises appeared first on ITDigest.

]]> Global IT corporation FPT announced the launch of Flezi Foundry™ (FPT Digital Foundry™), an AI-augmented delivery platform for software development and IT operations. Built around a governed Service-as-a-Software model, the platform combines autonomous AI agents, human expert oversight, secure infrastructure, and outcome-based delivery mechanisms to help enterprises modernize technology delivery as AI agents become part of software engineering and IT operations.

Flezi Foundry applies Agentic Engineering, a structured delivery approach for software development and IT operations. The model brings AI agents into delivery workflows with human supervision, governance, transparency, and performance measurement built into the process.

Flezi Foundry operates through two service modes:

  • Agentic Development Lifecycle (ADLC) supports software development by using specialized AI agents across planning, coding, review, testing, security, and documentation. Working under human supervision, the model is designed to improve delivery capacity, quality, and transparency, aiming to deliver up to 30% more output within the same budget.
  • Agentic Managed Services (AMS) applies the same human-agent model to IT operations. Operations agents assist with alert triage, incident resolution, remediation, and service improvement, helping enterprises improve response times, increase automation, and strengthen service performance over time. At maturity, the platform is designed to automate resolution for 60% to 90% of first-line support requests and support 99.5% service-level compliance.

Also Read: Source Support Services Unveils the Unified Services Platform

The platform is built on four foundations. These include hybrid sovereign infrastructure combining Azure Virtual Private Cloud and FPT AI Factory; Hybrid FTE Pods, where human supervisors govern AI agents through Human-in-the-Loop and Human-on-the-Loop models; capacity-based pricing linked to story-point velocity and outcome-based SLA tiers; and a Digital Brain and Skill Marketplace that captures reusable standards, runbooks, and expertise.

To support lower-risk adoption, FPT also provides a structured transition pathway. This begins with a discovery workshop to establish baselines, followed by pilot testing through A/B delivery teams or shadow-mode operations before progressing to full-scale deployment.

“Agentic AI is moving enterprise technology delivery into a new phase, where intelligence is embedded not only in tools, but in the operating model itself,” said Frank Bignone, FPT Software Senior Vice President and Head of Corporate Strategy & Growth, FPT Corporation. “With Flezi Foundry, FPT will continue to shape a future where software development and IT operations are delivered through governed human-agent collaboration, with speed, accountability, and business outcomes built into the foundation.”

The launch advances FPT’s broader AI-first growth strategy, building on FleziPT, FPT’s AI-first platform for enterprise transformation, and extending that foundation into software development and IT operations through Flezi Foundry. Together with FPT’s AI Factories in Vietnam and Japan, an AI-augmented workforce, global delivery network, and enterprise AI solution portfolio, the platform reflects FPT’s continued shift toward AI-first services with governed delivery models, repeatable practices, and outcome-based engagement structures.

Source: BusinessWire

The post FPT Launches Flezi Foundry™, Advancing AI-Augmented Delivery for Global Enterprises appeared first on ITDigest.

]]> Temenos Broadens SaaS Banking Portfolio on AWS to Support End-to-End Modernization https://itdigest.com/cloud-computing-mobility/saas-paas/temenos-broadens-saas-banking-portfolio-on-aws-to-support-end-to-end-modernization/ Thu, 07 May 2026 11:59:15 +0000 https://itdigest.com/?p=80122 Temenos has broadened their software-as-a-service capabilities on Amazon Web Services (AWS), allowing banks to provide core banking, digital banking, and payment functions through a single cloud-based platform. This change is a large part of Temenos’ plan to offer banking solutions that are more flexible and composable for financial institutions that are undergoing extensive digital transformation […]

The post Temenos Broadens SaaS Banking Portfolio on AWS to Support End-to-End Modernization appeared first on ITDigest.

]]> Temenos has broadened their software-as-a-service capabilities on Amazon Web Services (AWS), allowing banks to provide core banking, digital banking, and payment functions through a single cloud-based platform. This change is a large part of Temenos’ plan to offer banking solutions that are more flexible and composable for financial institutions that are undergoing extensive digital transformation programs.

Thanks to this development, banks across the globe can get an even wider variety of Temenos applications as SaaS on AWS, including not just digital banking and payment services but also the core banking platform. The combined package aims to assist financial institutions in modernizing their operations while giving them the liberty of choosing how they want to adopt cloud technologies. Firms can either implement the modules separately, deploy a full enterprise solution, or integrate Temenos with their existing infrastructure.

This decision represents an increased move in the sector toward banking architectures that are cloud-native and modular so that financial institutions can react more quickly to continuously changing customer expectations and regulatory requirements. Banks, by moving technical management to SaaS environments, have more time for product innovation, customer engagement, and efficiency in operations.

Also Read: Rafay Systems Launches Token Factory to Help GPU Providers Monetize AI at Scale

Barb Morgan, Chief Product & Technology Officer at Temenos, said: “We’re delighted to expand our Temenos SaaS offering on AWS, further strengthening our SaaS capabilities and giving banks greater flexibility in deploying Temenos solutions as SaaS in line with their technology strategy and market requirements.”

AWS leaders argued that this partnership allows banks the freedom to change their ways gradually without sacrificing the enterprise-level growth and security that are a hallmark of their operations. Scott Mullins, Managing Director for Worldwide Financial Services at AWS, highlighted that through this significant development, banks can introduce new functionalities either gradually or go through a total transformation.

Market experts also recognize this improvement as part of a broader inclination towards composable banking ecosystems. According to David Albertazzi, Executive Advisor & Director of Retail Banking & Payments Practice at Datos Insights, diversifying a cloud-based banking platform is a move that is driven by a desire for more flexibility while ensuring the very important aspects of compliance, security, and data sovereignty are met.

Temenos and AWS have worked together since 2019 and currently support financial institutions ranging from traditional banks to digital-first challengers across multiple global markets. Existing deployments include organizations such as MidWestOne Bank, Credem, WeLab Bank, and ila Bank.

The post Temenos Broadens SaaS Banking Portfolio on AWS to Support End-to-End Modernization appeared first on ITDigest.

]]> Source Support Services Unveils the Unified Services Platform https://itdigest.com/cloud-computing-mobility/saas-paas/source-support-services-unveils-the-unified-services-platform/ Tue, 21 Apr 2026 12:46:46 +0000 https://itdigest.com/?p=79698 Source Support Services, a leading provider of global IT services for more than 25 years, announced the launch of its Unified Services Platform, a next‑generation, human-centered, Salesforce‑native service delivery operating system designed to orchestrate the world of work at scale across the world’s most complex, mission‑critical infrastructure environments. The launch marks a major milestone in […]

The post Source Support Services Unveils the Unified Services Platform appeared first on ITDigest.

]]> Source Support Services, a leading provider of global IT services for more than 25 years, announced the launch of its Unified Services Platform, a next‑generation, human-centered, Salesforce‑native service delivery operating system designed to orchestrate the world of work at scale across the world’s most complex, mission‑critical infrastructure environments.

The launch marks a major milestone in Source Support Services’ evolution as organizations race to meet the demands of the AI, supercomputing, and hyperscale data center economy. Built on decades of experience delivering outcomes in mission‑critical environments worldwide, the Unified Services Platform enables data center builders, operators, and technology manufacturers to rapidly scale execution across critical power, cooling, and large‑scale technology deployments.

Source Support’s vision is clear: to orchestrate the world of work at scale. The Unified Services Platform represents the evolution of that vision, bringing together technology, talent, and execution into a single, integrated ecosystem built for the accelerating demands of artificial intelligence, data center expansion, and next‑generation original equipment manufacturing (OEM) technologies.

Also Read: Rafay Systems Launches Token Factory to Help GPU Providers Monetize AI at Scale

As AI‑driven capacity requirements intensify and OEMs scale production of mission‑critical equipment, organizations face growing pressure to execute flawlessly across highly distributed, multi‑stakeholder environments. Fragmented service models, disconnected systems, and siloed workflows increase risk, delay delivery, and drive cost overruns across complex projects.

Designed and operated in alignment with ISO-aligned processes, the Unified Services Platform consolidates everything required to design, staff, train, execute, and measure global field service operations into a single integrated environment. Capabilities include work order management, certified technician dispatch, credentialing and compliance, real-time service tracking, parts logistics, quality control, and executive-level reporting, delivering real‑time visibility, disciplined execution, and predictable outcomes at global scale.

“We’ve built the service delivery operating system for the data center buildout economy,” said James Kirby, CEO of Source Support Services. “The Unified Services Platform is a human-centered, Salesforce‑native platform that orchestrates the world of work at scale, backed by a global network of credentialed trades, skilled labor, and IT service professionals operating at the center of the most significant infrastructure investment cycle in a generation.”

Kirby added, “From advanced cooling technologies, including air, liquid, and immersion systems that remove heat loads from the data center floor to the OEMs designing and building the mission‑critical technologies behind it, today’s data center environments demand flawless execution. After 25 years of delivering global IT services, our focus is bringing discipline, coordination, and human‑centered execution to the entire ecosystem.”

Source: BusinessWire

The post Source Support Services Unveils the Unified Services Platform appeared first on ITDigest.

]]> Rafay Systems Launches Token Factory to Help GPU Providers Monetize AI at Scale https://itdigest.com/cloud-computing-mobility/saas-paas/rafay-systems-launches-token-factory-to-help-gpu-providers-monetize-ai-at-scale/ Mon, 06 Apr 2026 12:11:16 +0000 https://itdigest.com/?p=79264 Rafay Systems has introduced Token Factory, a new capability within its platform designed to help GPU infrastructure providers evolve into full-fledged AI service operators. The offering enables organizations to deliver and monetize AI models through token-based consumption, a model rapidly becoming central to how enterprises and developers access AI services. With the general availability of […]

The post Rafay Systems Launches Token Factory to Help GPU Providers Monetize AI at Scale appeared first on ITDigest.

]]>

Rafay Systems has introduced Token Factory, a new capability within its platform designed to help GPU infrastructure providers evolve into full-fledged AI service operators. The offering enables organizations to deliver and monetize AI models through token-based consumption, a model rapidly becoming central to how enterprises and developers access AI services.

With the general availability of Token Factory, Rafay equips neocloud providers and AI infrastructure operators with built-in metering, pricing, and access controls. This allows them to offer AI models as services without building complex monetization frameworks from scratch. By converting raw GPU capacity into tokenized consumption, providers can unlock new revenue streams while simplifying service delivery for end users.

The launch comes amid a shift in AI usage patterns, where enterprises increasingly rely on agentic frameworks such as OpenClaw and NVIDIA’s NemoClaw. These systems execute multi-step workflows and continuously interact with external tools, significantly increasing token consumption compared to traditional AI queries. As a result, demand for scalable, token-based access to AI models is accelerating, with most spending currently concentrated among hyperscalers.

Also Read: DoControl Introduces First-of-Its-Kind Security Controls for Google Gemini Gems

Token Factory aims to redistribute that opportunity by enabling regional infrastructure providers to serve local demand. It allows operators to expose AI models through API endpoints, where usage is tracked and billed based on tokens. Built-in governance, quota management, and real-time monitoring ensure that both enterprises and individual users can manage consumption effectively.

“Token Factories are the new cellphone companies,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “Similar to how cellphone companies used to sell pre- and post-paid minute plans, AI factories are beginning to sell pre- and post-paid token plans. Team Rafay is looking forward to supporting the success of a thousand AI factories across the world with our Token Factory offering.”

The platform integrates seamlessly with leading agentic frameworks, allowing developers to connect to tokenized endpoints through self-service workflows while abstracting underlying infrastructure complexity. This approach positions Token Factory as a key enabler in the growing market for AI services, where consumption-based models are expected to dominate.

As global investment in sovereign AI and GPU-as-a-Service continues to rise, Rafay’s latest release addresses a critical gap—helping infrastructure providers move beyond capacity provisioning to sustainable monetization strategies.

The post Rafay Systems Launches Token Factory to Help GPU Providers Monetize AI at Scale appeared first on ITDigest.

]]> Kyndryl Launches Agentic Service Management to Accelerate AI-Native IT Operations https://itdigest.com/cloud-computing-mobility/saas-paas/kyndryl-launches-agentic-service-management-to-accelerate-ai-native-it-operations/ Thu, 02 Apr 2026 12:00:16 +0000 https://itdigest.com/?p=79207 Kyndryl has announced Agentic Service Management, a new framework for enterprises looking to move beyond traditional IT services and into autonomous and AI-driven operations. The framework will allow enterprises to move beyond traditional IT services and into autonomous and AI-driven operations. This is a response to a gap between AI technology and enterprise readiness. While […]

The post Kyndryl Launches Agentic Service Management to Accelerate AI-Native IT Operations appeared first on ITDigest.

]]> Kyndryl has announced Agentic Service Management, a new framework for enterprises looking to move beyond traditional IT services and into autonomous and AI-driven operations. The framework will allow enterprises to move beyond traditional IT services and into autonomous and AI-driven operations.

This is a response to a gap between AI technology and enterprise readiness. While most enterprises are investing heavily in AI technology, many are failing to achieve significant returns on investment due to outdated operating models and governance structures. Agentic Service Management will bridge the gap between AI technology and enterprise readiness by aligning IT service management with AI-native technology.

“Most enterprise environments were built for people running tickets and tools, not for fleets of autonomous agents executing tasks across hybrid and multi-cloud estates—and this mismatch is limiting AI from moving out of pilots to outcomes,” said Kris Lovejoy. “You can’t scale agentic workflows on top of operating models that were designed for manual work.”

The solution includes a maturity assessment delivered through Kyndryl Consult, enabling organizations to evaluate their readiness across service management, AI governance, security, and operations. Based on this assessment, enterprises receive a phased roadmap to adopt agentic IT service management responsibly, with guardrails and human oversight. Additionally, Kyndryl Agentic AI Digital Trust provides a security-first framework to manage risk, compliance, and governance across AI-driven workflows, particularly in regulated industries.

Kyndryl is also applying these capabilities internally through its Kyndryl Bridge platform, enhancing operational intelligence and automating service delivery. The company already executes nearly 200 million automations monthly, demonstrating the scale at which agentic AI can transform IT operations.

Also Read: Armada and Microsoft Partner to Deliver Sovereign AI at the Edge with Azure Local

Implications for the IT Industry

Kyndryl’s statement is a sign of the IT industry’s wide-ranging change to AI-native service management and autonomous operations. IT service management (ITSM) models built around ticketing systems and manual workflow operations are becoming less and less compatible with the speed and complexity of modern AI-driven environments. Agentic service management is a hint of the future of systems of execution, where AI agents perform tasks such as infrastructure management, issue resolution, and operational optimization in real-time.

IT leaders must now commit to AI governance, orchestration, and operational transparency as this evolution brings along with it new priorities. On the one hand, enterprises should develop IT architectures for continuous, autonomous decision-making without compromising the regulatory compliance that e.g. ISO 42001 requires. On the other hand, implementing AI governance frameworks, integrating real-time monitoring systems, and policy-driven controls into the core infrastructure is a challenge.

The increasing role of AI digital trust frameworks only underscores the fact that we have to find ways for security and accountability to co-exist with innovation. IT teams are also seeing their roles radically transformed by the coming together of AI, cloud and IT service management. Rather than tracking tickets and manually working on infrastructure, IT professionals will progressively be monitoring AI-driven systems, their chief concerns being strategy, governance and performance optimization.

Business Impact and Strategic Value

For businesses, Agentic Service Management can be a game-changer. They can greatly improve their efficiency and agility by automating routine IT processes and resolving issues in real time. Organizations will be able to reduce the amount of downtime, cut the costs of their operations, and make their services more reliable.

What’s more, being able to roll out AI-driven workflows in hybrid and multi-cloud settings means quicker innovation. Companies can launch brand new applications, fine tune their infrastructures, and meet changing demands of the market with even more speed and accuracy.

Besides that, embedding governance and compliance frameworks make sure that the usage of AI won’t compromise security or regulatory compliance. This holds very true especially for industries such as banking, health care, and government, where data protection and compliance are of utmost importance.

Enabling the Future of Autonomous IT

Kyndryl’s Agentic Service Management solution is a testament to the defining trend in enterprise technology today: the move from manual IT operations to autonomous, intelligent service ecosystems. With its solution offering a framework for the implementation of agentic AI, the company is helping organizations move from proof-of-concepts to business outcomes.

As enterprises continue to leverage AI at scale, solutions like this will play a crucial part in helping organizations evolve from being mere enablers within the enterprise to being strategic business differentiators for innovation, efficiency, and competitiveness.

The post Kyndryl Launches Agentic Service Management to Accelerate AI-Native IT Operations appeared first on ITDigest.

]]>