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.

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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

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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.

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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

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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.

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Google Gemini Gems allow users to build personalized AI assistants by adding instructions and internal content like documents, PDFs, and internal data to AI tools. Although this has improved productivity, it has also opened new security risks for organizations, especially when users share these gems, even if they do not have direct access to the original content. This has created a new problem, considering that gems use underlying files to respond to users, and when they are shared, they expose internal data to unauthorized individuals.

In response to this new security risk, DoControl has incorporated Google Gemini Gems into its security framework, considering them core assets within Google Drive environments, allowing IT and security teams to monitor them with similar control levels to other critical data resources.

Also Read: Securitas Strengthens Digital Security Portfolio with Acquisition of Liferaft, a Leading SaaS Threat Intelligence Platform

With the new capabilities, organizations can monitor the creation and sharing of Gems, evaluate the risks of the associated data, and maintain a record of access and exposure events. Organizations can now use the platform to enforce policies automatically, including revoking or restricting access and sharing of Gems, blocking the sharing of Gems with the outside world, and setting up temporary permissions to minimize potential risks.

“Google Gemini Gems represent a powerful shift in how work gets done, but they also introduce new and often invisible data risks,” said Tamir Passi, VP of Product at DoControl. “Because this is such a new capability, organizations don’t yet have established security practices around it. We moved quickly to address this new risk, as we do with all emerging threats. Our goal is to continuously deliver visibility and control so that as new innovations emerge within Google Workspace, our customers can confidently adopt AI tools without compromising their security.”

The launch is a reflection of a wider industry move to protect AI-driven workflows, especially as organizations increasingly integrate generative AI into everyday business. With its extension into new AI assets such as Gemini Gems, DoControl is seeking to help organizations balance innovation and strong data protection.

The post DoControl Introduces First-of-Its-Kind Security Controls for Google Gemini Gems appeared first on ITDigest.

Healthcare Security Requirements

To meet HIPAA mandates, the company adopted an on-prem deployment supported by AccuKnox. By implementing Application Security Posture Management (ASPM) with DAST scanning, AccuKnox delivered risk prioritisation and automated compliance.

Why Humata Health Chose AccuKnox

After evaluating multiple vendors, Humata Health selected AccuKnox for its:

• Unified ASPM for Azure DevOps
• On-prem deployment for HIPAA compliance.
• Integration with GitLab and Azure DevOps.
• Fast, coordinated execution across Sales, Product, and Leadership.

During the proof of concept, AccuKnox showcased how ASPM delivers actionable insights, automates compliance, and provides unified visibility across cloud environments.

Also Read: Cyclr Launches MCP PaaS Innovation for AI Connectivity

Leadership Testimonials

“At Humata Health, securing our customers’ data is critical,” said Duy Dang, Director of Information Security & IT, Humata Health. “AccuKnox’s ASPM and CNAPP capabilities allowed us to enhance our application security posture quickly and effectively. The team’s responsiveness and technical guidance made the deployment seamless and impactful.”

“We are thrilled to partner with AI-powered HealthTech leader Humata Health to enhance the security of their software development lifecycle,” said Brian Laing, CSO, AccuKnox. “Through our Application Security Posture Management (ASPM) capabilities – including full Azure DevOps and GitLab integration – Humata Health gains unified visibility and control across its CI/CD pipeline.”

“This win showcases how alignment, agility, and customer-first execution drive real outcomes,” said Emre Kulali, VP of Strategic Partnerships, AccuKnox. “Humata Health’s trust in our ASPM and CNAPP capabilities reaffirms our commitment to enabling secure innovation for healthcare organisations worldwide.”

Source: PRNewswire

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Headquartered in Halifax, Canada, in 2014, Liferaft is known as a prominent SaaS-based Open-Source Intelligence (OSINT) threat solutions provider. The company has established itself in the fast-growing multi-billion US dollar threat intelligence industry by catering to hundreds of large enterprise customers across North America with scalable risk intelligence solutions.

As of the end of 2025, Liferaft had subscription-based annual recurring revenue (ARR) of MSEK 138 (noting a value of approximately USD 15.3 million) with organic growth of over 30%.

Strategic Rationale and Growth Potential

In a statement outlining the strategic logic behind the acquisition, Securitas President and CEO, Magnus Ahlqvist, emphasized the importance of digital risk intelligence in modern security programs:

“During the last few years, we have strengthened our value proposition and profitability in our guarding business, developed a globally leading position in technology and built a more modern and digital business. As the threat landscape becomes more dynamic, we see a growing need from our clients for digital risk intelligence solutions that enable more proactive security programs. Having partnered with Liferaft for five years, we know their capabilities well and see a strong strategic and cultural fit, as well as the significant intellectual property (IP) their solutions bring to our portfolio”.

Also Read: Palo Alto Networks Unveils Quantum-Safe Security to Future-Proof Enterprise Cryptography

Ahlqvist further highlighted the value Liferaft brings to Securitas’ recurring revenue model: “The acquisition creates significant opportunities to apply Liferaft’s threat-intelligence capabilities and proprietary IP across our client base. It also contributes to the development of a more scalable Securitas and strengthens the growth of our high-margin recurring monthly revenue business, which today exceeds BSEK 1”.

Platform Capabilities and Client Impact

Liferaft’s flagship platform continuously and automatically aggregates threat data by monitoring global public sources around the clock. This enables clients to maintain a dynamic and real-time understanding of their threat landscape, with advanced analytics and visualization tools that support rapid validation, team collaboration, and enterprise-wide distribution of actionable intelligence.

Key platform features include:

• 24/7 monitoring of global threat vectors
• Automated threat data aggregation and advanced analytics
• Real-time risk alerts for rapid stakeholder notification
• Collaborative and visual reporting tools that accelerate decision-making

These capabilities align with growing market demand for proactive, integrated security insights that empower organizations to anticipate and react to threats before they escalate.

The post Securitas Strengthens Digital Security Portfolio with Acquisition of Liferaft, a Leading SaaS Threat Intelligence Platform appeared first on ITDigest.

Also Read: Zenity Launches End-to-End AI Agent Security on AWS Marketplace

“Organizations have made major investments in SaaS, but most still have very limited visibility into how those applications are actually configured and where silent risk is building up,” said Paul Martini, CEO of iboss. “With SSPM, iboss uses AI to translate complex SaaS settings into clear, prioritized actions, so security and IT teams can continuously reduce exposure, align with Zero Trust principles, and demonstrate real governance over the SaaS platforms that run their business with AI-powered clarity and speed.” By embedding SSPM into the iboss SASE platform, companies can transition from static reports to continuous risk measurement, reduce operational overhead, and better communicate SaaS-related exposure and governance to executives, auditors and regulators.

Read More: iboss Enhances AI-Powered SaaS Security Posture Management to Reduce Hidden SaaS Risk

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