Building on Endava’s already existing certifications as a Google Cloud Premier Partner and Google Security Partner, the membership in the Wiz Partner Alliance is expected to help enterprises around the world. This global network brings together industry leaders to help companies quickly deploy solutions, have strong digital defense systems, and increase their productivity in cloud environments. With the combination of AI-based defense, multiclound architecture management, and agential AI governance, the alliance has built a framework that is safe and suitable for the modernization of corporations.

Addressing Critical Vulnerabilities in the Era of Rapid AI Deployment

In today’s world, businesses are growing very fast within their complex multi-cloud footprint, increasing the need for security policies that integrate well within the clouds, SaaS architecture, and AI architectures. This partnership ensures that Endava helps customers build robust cloud perimeter by using Wiz’s unique set of tools. The project will not only ensure transparency within the scattered cloud architecture but also provide the safety needed to run AI workloads.

Recent threat intelligence from Google Cloud underscores the urgency of the initiative, revealing that the window between an initial security breach and sequential lateral attacks has drastically compressed from eight hours down to a mere 22 seconds. As corporate attack vectors stretch far past old-school network boundaries, Endava’s integration with Wiz moves organizations away from localized, disconnected security checks and toward a continuous, predictive defense model. This methodology ensures risks are identified, ranked, and neutralized much earlier within the lifecycle of AI projects.

Also Read: JumpCloud Launches Agentic IAM on Google Cloud to Govern Autonomous AI Identities

Operational Services and Strategic Deliverables

To facilitate this transition, Endava is introducing targeted cloud security consulting and technical services, which include:

• Rapid Cloud Risk Assessments: Identifying active vulnerabilities, configuration errors, and weak entry points.
• Managed Detection and Response (MDR): Equipping enterprise teams to track, categorize, and investigate critical incoming threats.
• Architecture Advisory & Implementation: Embedding the Wiz platform natively into continuous deployment pipelines and active AI development, stopping threats prior to production rollout.

“Security is a foundational layer of the AI era,” said Nick Ross, VP of EMEA & LATAM Channels & Alliances at Wiz. “Enterprises want to innovate with AI and cloud, but they also need confidence that the services they create are secure, resilient and trusted by their customers. The valuable experience Endava brings to the Wiz Partner Alliance will help more organisations turn cloud security visibility into action across the complex, multi-cloud environments they operate every day.”

“As enterprises adopt agentic AI, autonomous agents can access data repositories, systems and permissions across interconnected environments,” said Matt Cloke, CTO at Endava. “This expanding reach is increasing pressure on organisations to rethink how they strengthen data governance, identity controls and consistent security policies across their AI ecosystems. Wiz completes a critical part of that picture by giving customers the visibility, context and risk prioritisation needed to embed security into AI and cloud programmes from the start. Combined with Endava‘s cloud engineering and managed services expertise, this partnership helps us provide organisations with a practical route to secure AI adoption across their multi-cloud environments.”

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This creates a dangerous blind spot. While security teams focus heavily on software-layer bugs or individual prompt injections, bad actors are aggressively shifting their focus down the stack. They are targeting the underlying cloud compute layers, data storage arrays, and network configurations that feed and house enterprise AI models.

Historically, cloud security posture management (CSPM) and data security operated as isolated tasks. Security teams would use one tool to audit cloud infrastructure configurations and an entirely separate platform to monitor AI training data. This disconnected approach allowed sophisticated attackers to exploit hidden, multi-cloud vulnerabilities, using compromised AI applications as a backdoor to move laterally across core enterprise systems.

Addressing this structural vulnerability, cybersecurity leader CrowdStrike announced a major expansion of Project QuiltWorks in collaboration with Amazon Web Services (AWS) at the AWS re:Inforce conference.

By embedding CrowdStrike’s Falcon protection suite directly into AWS’s scalable infrastructure, the expanded initiative establishes a unified, context-aware shield for enterprise cloud operations. For the Cloud Infrastructure, Artificial Intelligence, and Cybersecurity industries, this development marks a critical shift. It transitions data security away from isolated point solutions and introduces fully integrated, end-to-end runtime protection across the entire AI pipeline.

Also Read: Databricks Unveils Lakehouse//RT: The Critical Real-Time Layer for the Agentic AI Era

Technical Integration: Unified Defense from Chip to Application Layer

The core advancement behind the expanded Project QuiltWorks is its focus on continuous, multi-layer visibility. Rather than checking cloud environments through slow, episodic scans, the integration provides deep telemetry across AWS workloads and container clusters in real time.

Operating natively across AWS infrastructure layers, the unified framework delivers comprehensive protection across three critical areas:

Sovereign Data Fabric Protection: Continuously monitors and audits sensitive data storage arrays (such as Amazon S3 buckets) feeding AI training loops. The platform automatically flags and remediates data misconfigurations, preventing intellectual property exposure or unauthorized modifications.

Continuous Non-Human Identity Control: Uses CrowdStrike’s advanced identity verification layers to monitor autonomous AI agents and machine-to-machine integrations. The platform automatically flags and revokes access privileges the exact millisecond a digital service attempts to execute an unauthorized, lateral system command.

Inline Threat Containment: Leverages real-time AI behavioral analytics to detect active exploitation attempts within the cloud perimeter. If an adversary attempts to hijack a high-performance GPU cluster or poison an active data training pipeline, the system automatically isolates the compromised node.

Transforming the Cybersecurity and Cloud Software Industry

The rollout of deep, infrastructure-level security for frontier AI deployments reshapes standard operating procedures across the global tech vendor landscape.

The Obsolescence of Fragmented AI Security Tools
Over the past several years, a wave of niche startup vendors flooded the market with standalone AI safety tools designed to catch specific software bugs or monitor basic user chats. This collaboration highlights the structural limits of those single-feature point solutions.

Without deep visibility into the underlying cloud compute and network infrastructure, application-only security layers remain inherently blind to lower-level system takeovers. The cybersecurity market is quickly shifting toward fully integrated cloud native application protection platforms (CNAPP) that handle application data and server hardware as a single, connected entity.

Setting New Standards for Shared Cloud Governance Models
Historically, the cloud computing market operated under a strict Shared Responsibility Model: the infrastructure provider (like AWS) secured the physical hardware and baseline hypervisors, while the corporate client was entirely on their own to secure their data, identities, and custom code applications.

Project QuiltWorks redefines this relationship. By co-engineering deep, native integration pathways between AWS transport networks and CrowdStrike‘s external security fabric, the technology leaders are building a more cooperative, automated approach to enterprise cloud defense.

Broad Operational Impact on Enterprise Businesses

For corporate entities looking to scale advanced automation without introducing severe legal, compliance, or operational liabilities, hardening their cloud footprint yields distinct commercial advantages.

Insulating Enterprises Against Advanced System Poisoning
In case the malicious individual manages to gain access to the data pipelines used by a firm, they can actually poison the data fed into the training process of their core models. Through slight manipulations and tweaking of various fine-tuning parameters, an attacker could introduce hidden biases and backdoors in the firm’s customer-facing apps.

The implementation of continuous integrity monitoring at the infrastructure level guarantees that all the data being used to power AI is scrutinized and validated. This helps protect the digital core assets of the organization against any potential harm.

Accelerating Safe, Compliant Automation Scale
Organizations that must comply with stringent data handling standards, including international banks, healthcare providers, and defense contractors, cannot afford to implement any advanced AI solutions without proper governance policies.

Passing cloud-based loads via a centrally designed and engineered security infrastructure provides enterprise risk managers with constant visibility, enabling them to keep logs of each decision made by a model, each request made for the data, and each automated move by any agent. This kind of oversight empowers company boardrooms to launch large-scale automation projects and benefit from huge efficiencies while maintaining data sovereignty standards.

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As artificial intelligence agents evolve from experimental tools into mission-critical digital employees, corporate IT and security divisions require a global infrastructure capable of managing high-velocity, machine-speed identities. By hosting Agentic IAM on Google Cloud, JumpCloud can leverage Google Cloud’s global scale to provide the world-class security required for the modern, AI-driven enterprise.

“The move to autonomous AI agents requires a foundational shift in how we think about trust and scale,” said Dwight Allgood, senior director, strategic alliances, JumpCloud. “By building our Agentic IAM infrastructure on Google Cloud and integrating with Gemini Enterprise, we are helping to ensure our customers have the most robust, low-latency, and secure environment possible. This is vital given that our research shows that 66% of organizations now grant AI agents equal or greater system access than human users, yet only 37% have fully integrated those agents into their formal IAM policies.”

Also Read: Zscaler Expands Zero Trust SASE Platform to Automate Enterprise Security Administration 

The strategic collaboration underscores JumpCloud’s commitment to the Google Cloud ecosystem. Agentic IAM is specifically tuned to work with Gemini Enterprise, providing native, first-party integration that allows Google Cloud customers to deploy autonomous workflows with complete confidence. This joint solution simplifies how organizations securely connect their digital agents to the extensive ecosystem of applications and resources available within JumpCloud’s enterprise catalog.

“With this integration, JumpCloud is expanding its use of Google Cloud’s AI and making it easier for its customers to build agents using our platform,” said Granville Valentine, Managing Director, AI Sales & GTM, North America, Google Cloud. “This collaboration simplifies how organizations securely connect their agents to the extensive ecosystem of applications and resources available within JumpCloud’s catalog.”

Core Operational Capabilities of Agentic IAM on Google Cloud

The platform deployment introduces critical capabilities designed to bring visibility, structure, and strict security boundaries to enterprise agentic systems:

• Global Scalability: By utilizing Google Cloud’s distributed infrastructure, the platform delivers real-time discovery and registration of non-human identities, providing the necessary processing speed to accommodate high-volume AI-driven traffic.

• AI Device Trust: The software’s device trust framework helps ensure the correct human operator is instigating AI-based requests within Gemini Enterprise, leveraging biometric verification alongside adjacent environmental checks to maintain strict hardware compliance.

• Unified AI Gateway: Provides a central control plane hosted on Google Cloud to monitor all agentic traffic, automatically flagging anomalous or unverified requests as they attempt to access corporate resources.

• Secure Credential Brokering: Implements standard Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol flows via OpenID Connect, allowing administrators to enforce short-lived token management controls and eliminate long-term credential risks.

JumpCloud is rolling out its Google Cloud-integrated Agentic IAM capabilities in phases throughout 2026, beginning with Managed AI Connectors and specialized AI Device Trust modules for active Gemini Enterprise sessions. Turnkey implementation documentation and enterprise registration protocols are now accessible via the main JumpCloud directory.

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The contemporary professional landscape increasingly relies on unmanaged hardware and complex, multi-tiered supply chains, leaving corporate networks vulnerable to highly automated, machine-speed cyber threats. Traditional SASE frameworks—frequently anchored to legacy firewall configurations and virtual private networks (VPNs) were not designed to defend these distributed perimeters. By exposing applications directly to the public internet, these legacy setups often enable lateral threat movement while creating immense administrative complexity for internal IT teams.

To combat this, the Zscaler inline security cloud now scales to monitor and protect more than 750 billion transactions every single day. This massive volume of real-time telemetry acts as a continuous training pool for the Zscaler Zero Trust Exchange architecture and its integrated machine learning engine, driving a highly adaptive and resilient Zero Trust SASE posture.

Applying Agentic AI to Streamline Daily Security Operations

The product expansion introduces the ZAgent Framework, an orchestration layer designed to unify individual platform agents and transform traditional network administration into an automated, self-managing operation.

Through the ZAgent Framework, system administrators can interact directly with the platform using simple natural language prompts within the Zscaler Experience Center, allowing teams to bypass complex scripting to deploy configurations and isolate backend system errors rapidly. A core component of this ecosystem is the Zscaler Digital Experience (ZDX) Agent. Operating under the ZAgent umbrella, it enables IT teams to instantly diagnose and resolve end-user performance issues—such as local Wi-Fi drops, ISP outages, or device lag—before they interrupt active business workflows.

“Legacy SASE was built in the post-pandemic rush, based on a firewall and VPN model for a network perimeter that no longer exists. In a world of AI with distributed users, partners, and cloud workloads, that model leaves enterprises exposed,” said Jay Chaudhry, Founder, Chairman, and CEO of Zscaler. “Security in the AI era has to be dynamic. With this expansion of Zero Trust SASE, we are giving organizations one platform that secures every communication, simplifies operations through agentic AI, without the cost and complexity of legacy infrastructure.”

Also Read: BlueVoyant Launches GenAI Security Architecture to Automate Threat Defense

Unifying Security Across Browsers, Supply Chains, and B2B Partners

The platform update rolls out a suite of endpoint and partner connectivity solutions built to protect data across highly fragmented corporate attack surfaces:

• Zero Trust Browser Extension & Enterprise Browser: Embeds Zero Trust protection into standard, cross-browser extensions or a full Chromium-based enterprise browser. The technology provides localized data controls and active Browser Detection & Response, eliminating the need for expensive Virtual Desktop Infrastructure (VDI) or legacy VPNs on personal (BYOD) and unmanaged devices.

• Zero Trust B2B Connectivity: Establishes the Zscaler B2B exchange to facilitate secure, bi-directional application access between enterprise networks and external partners. The framework removes the need for complex firewall rules, site-to-site VPNs, or costly MPLS networks, securing the supply chain without exposing core networks to external lateral movement.

• Endpoint Sandbox Capabilities: Extends Zscaler’s cloud sandboxing functionality directly to local hardware, protecting enterprise users from malicious files introduced via offline vectors such as flash drives.

“Security teams are spending too much time stitching together fragmented tools and reacting to misconfigurations they should never have to see,” said Adam Geller, Chief Product Officer at Zscaler. “By embedding our ZAgent Framework into Zscaler’s platform, we are making SASE management largely autonomous–with root cause analysis, drift detection, policy validation all happening via agents in the platform. Combined with browser-based access and PQC readiness, this gives organizations a foundation that can scale with their AI initiatives.”

Extending Microsegmentation and Multi-Cloud Protections

Beyond endpoint and user security, the update extends uniform SASE policy enforcement to multi-cloud environments, officially introducing the Zero Trust Gateway for GCP. This release matches existing AWS integrations, providing consistent security policies for workload-to-workload and workload-to-internet data streams while eliminating siloed, cloud-specific firewalls.

Concurrently, the platform delivers Microsegmentation for Kubernetes. The technology automates granular security boundaries within Google Kubernetes Engine (GKE) and adjacent container frameworks, stopping lateral threat migration between virtual machines and microservices without requiring manual code changes or interrupting live operational infrastructure.

“The SASE market is undergoing a fundamental shift as organizations realize that legacy network security approaches cannot keep pace with the scale of the AI era,” said John Grady, Principal Analyst at Omdia. “Today’s modern, AI-driven enterprise needs Zero Trust protections across everything from unmanaged devices and B2B partners to multi-cloud workloads. Zscaler’s introduction of the ZAgent agentic AI framework goes beyond basic automation and redefines how enterprises can manage and scale security across all these areas, within a single, unified architecture.”

“As we accelerate our AI initiatives, data security and operational agility are our top priorities,” said Brad Skibitzki, CISO, Zebra Technologies. “Legacy VPN and firewall models have failed to provide the granular control and visibility required for a distributed workforce and multi-cloud environment. Zscaler’s Zero Trust SASE platform gives us the confidence to innovate rapidly. By leveraging the ZAgent Framework and the new Zero Trust Browser, we can secure every connection, whether it involves employee BYOD devices or cloud workloads, all while dramatically simplifying our security management.”

The expanded Zero Trust SASE capabilities and the ZAgent Framework are fully integrated into the cloud-native Zscaler ecosystem, providing scaling enterprises with a data-driven, unified security architecture optimized for modern cloud operations.

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Leading the round is Brightmind Partners, a firm co-founded by Stephen Ward, former CISO at The Home Depot and TIAA. Previously, he served as a Managing Director at Insight Partners, where he led cybersecurity investments. Datadog joins as a strategic investor, deepening its commitment to reducing security complexity across the full cloud risk lifecycle from prevention to remediation.

“Having served as CISO for some of the world’s largest enterprises, I’m seeing firsthand how AI is increasing cloud complexity while also enabling attackers to exploit gaps faster than ever before,” said Ward. “In this post-Mythos world, the traditional ‘detect and remediate’ model is no longer enough. Instead of allowing security gaps to reach production only to be remediated weeks or months later, organizations need an enforcement layer that prevents risks from going live in the first place. After working closely with Ron, Ariel, and Yair over the past year, my conviction in Aryon’s vision has only strengthened.”

“AI and rapid infrastructure changes are introducing risk to cloud security in a way that we have never seen before – and faster than reactive remediation efforts can effectively manage,” said Bharat Sajnani, Head of Datadog Ventures. “Aryon’s preventive approach complements how Datadog already helps customers detect and resolve risks in production so that they can ship with control and confidence. We’re proud to support the Aryon team and all the important work they are doing.”

Also Read: Upwind Unveils Unified AI Protection for Cloud Environments, Setting a New Standard in Cloud Security

As AI accelerates infrastructure changes and cloud complexity, security teams are struggling to keep pace with the speed at which risks are introduced into cloud environments. By the time most cloud risks are detected, they are already live in production, forcing organizations into a constant cycle of remediation. Aryon’s platform enables organizations to enforce security policies before risks reach production, applying consistent controls across the entire cloud infrastructure. This preventive approach helps enterprises avoid up to 95% of traditional CSPM alerts while dramatically reducing risk and operational overhead.

“We built Aryon because cloud security needs to move from ‘know misconfigurations’ to ‘NO misconfigurations’,” said Ron Arbel, CEO and co-founder of Aryon Security. “Infrastructure is changing faster than security teams can manually keep up with, and enterprises can no longer afford to discover risks only after they are already in production. Aryon makes prevention operational, scalable, and safe for the world’s most complex cloud environments.”

Since emerging from stealth in 2025, the company has gained traction among mid-to-large enterprises operating complex cloud environments across highly regulated industries, including healthcare, banking, insurance, telecommunications, shipping, and the industrial sector.

Aryon’s platform is driving impact across three primary use cases. First, organizations undergoing cloud migration or M&A processes leverage Aryon’s preventive approach to ensure their environments are secure by design, allowing them to scale into the cloud without accumulating large volumes of misconfigurations that later require remediation. Second, enterprises with mature and complex cloud environments use Aryon to dramatically improve efficiency by preventing up to 95% of new security gaps from any source, from “ClickOps” to pipelines, allowing teams to shift their focus from constant firefighting to addressing existing issues. Finally, a growing number of organizations have come to realize that prevention is the only scalable approach to cloud security. Aryon enables them to operationalize this mindset, enforcing policies at scale in a way that is safe for production, granular, and natively integrated with exception management processes.

“The best companies don’t just improve a category, they redefine it,” said Robert Herjavec, entrepreneur, cybersecurity investor, and Shark Tank star. “Cloud security can no longer rely on finding issues after they happen. Aryon is redefining cloud security by moving enterprises from detecting risks after the fact to preventing them at the source.”

Aryon was founded by a team of “Forbes 30 Under 30” honorees and veterans of “Matzov,” the IDF’s elite cybersecurity unit. CEO Ron Arbel, CTO Ariel Litmanovich, and CPO Yair Ladizhensky built the company on insights gained while securing Project Nimbus, Israel’s $7.2 billion national cloud infrastructure contract. Having designed systems to protect the most sensitive environments in the world, the founders identified a fundamental gap between an organization’s cloud security desired posture and its real-world enforcement.

“As an early investor in Aryon, and now with this new investment, I strongly believe in this team and support their journey to transform cloud security, from know misconfigurations to no misconfigurations,” said Shlomo Kramer, a strategic advisor for Skinos Ventures.

Aryon’s long-term vision is to extend preventive enforcement beyond cloud infrastructure to the broader enterprise environment. As organizations adopt more AI systems, SaaS applications, and distributed technologies, the company believes the core challenge remains the same: policies are defined, but not consistently enforced. Aryon aims to help organizations consistently enforce security controls across environments before risks reach production.

Source: BusinessWire

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Google Cloud Marketplace lets users quickly deploy functional software packages that run on Google Cloud infrastructure, and easily start up familiar software packages with services like Compute Engine or Cloud Storage, with no manual configuration required.

As organizations face increased risks from remote hiring fraud, credential theft, service desk social engineering, and AI-enabled impersonation, 1Kosmos gives security and identity teams a way to bind access to verified identity rather than relying only on credentials.

The availability of 1Kosmos Workforce on the Google Cloud Marketplace streamlines procurement, purchasing, billing, and deployment of high-assurance identity verification and authentication capabilities.

Also Read: HENNGE Launches Endpoint & Managed Security to Strengthen Cloud Security Portfolio

“Google Cloud Marketplace provides customers a faster, more convenient path to deploy 1Kosmos Workforce for high-assurance identity verification and passwordless authentication,” said Mike Engle, Chief Strategy Officer for 1Kosmos. “Workforce identity has become a frontline security issue, with attackers targeting service desks and posing as legitimate job applicants. 1Kosmos helps prevent AI-enabled impersonation fraud and account compromise by verifying the identity of the user rather than relying solely on authentication mechanisms that can be spoofed.”

1Kosmos Workforce Capabilities

1Kosmos Workforce gives organizations a single platform to verify and authenticate workers across the full identity lifecycle. Key features and benefits include:

• Remote Identity Proofing: Verifies government-issued documents and matches them to real-time biometrics with liveness detection.
• Passwordless: Replaces passwords with phishing-resistant authentication based on verified identity and biometrics.
• Secure Onboarding: Helps prevent hiring fraud, synthetic identities, and unauthorized account creation by verifying the person before access is granted.
• Service Desk Protection: Uses biometric-backed identity verification for password resets and account recovery to reduce social engineering risk.
• Broad Coverage: Supports employees, contractors, third parties, shared workstations, restricted environments, and remote users across cloud and hybrid environments.
• Enterprise Integration: Works with existing IAM, HR, ITSM, and security tools to embed identity verification into established workflows.

Source: GlobeNewswire

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With AI assisted coding and autonomous software agents being more and more widely deployed, application development is happening at an ever increasing pace. But it is also opening new security concerns not only for coding but for live production deployments. The two companies say traditional approaches often separate application security from cloud runtime protection, leaving exploitable gaps across development and deployment workflows.

Under the partnership, Legit Security’s agentic application security platform, including its VibeGuard technology, will secure AI-generated code, workflows, and coding agents during development. Sweet Security’s runtime cloud security platform will then extend visibility and protection into production environments, monitoring how applications and AI agents behave once deployed.

Also Read: Avantra 26 Introduces AI-Driven Intelligence to Accelerate SAP Incident Resolution

“The partnership between Legit and Sweet provides customers the unique ability to understand and mitigate risk from the moment a developer, human or AI, writes a line of code all the way to the cloud,” said Roni Fuchs, co-founder and CEO at Legit. “With this level of visibility and control, customers can ensure their applications are secure across the entire software lifecycle from code to runtime.”

The integrated approach is designed to help organizations identify vulnerabilities earlier, prioritize real threats, and improve runtime monitoring for AI-powered applications. The companies noted that risks such as hardcoded credentials or insecure AI workflows can become significantly more dangerous once applications are running in production.

“As AI transforms how software is built and behaves in production, security can no longer be split between code and runtime,” said Dror Kashi, co-founder and CEO at Sweet. “Partnering with Legit brings these two layers – and the steps between them – together, giving customers continuous visibility and security coverage from the moment code is written through production.”

The partnership reflects the growing demand for unified security strategies as AI-generated software and autonomous agents become more deeply embedded in enterprise operations.

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The release focuses on helping organizations manage increasingly complex SAP environments through deeper automation, expanded cloud integration, and real-time operational intelligence. Central to the update is the launch of Avantra AIR Root Cause Analyzer, an AI-powered engine that automatically investigates SAP incidents and provides structured diagnostics as soon as issues are detected.

Available as an additional licensed capability, Avantra AIR correlates logs, alerts, and system data across multiple SAP systems to identify probable root causes and recommend next steps. The company said the technology can transform troubleshooting processes that previously required hours of manual expert analysis into tasks completed within seconds.

“SAP operations teams have long had solutions that flag issues but leave it to experts to find the cause. Avantra AIR changes that. Engineers now get a diagnosis in seconds instead of hours. This is the AI-led shift that customers are demanding from their tech stack, and Avantra 26 brings it to our global customers,” said Brenton O’Callaghan, Chief Product Officer at Avantra.

Also Read: OpenAI Introduces Advanced Account Security Features to Advance User Protection

According to Avantra, early adopters have reported up to a 60% reduction in mean time to insight and issue resolution, alongside a two- to threefold increase in automation efficiency. Organizations have also seen notable time savings for senior engineers managing SAP environments.

This release improves the interoperability between Avantra and SAP Cloud ALM by establishing two-way alert synchronization and exchange of system-related data, which enables Avantra teams to work directly with their SAP Cloud ALM instances. Moreover, Avantra 26 comes with improved automation discovery for SAP Business Technology Platform (BTP).

One of the notable updates in this release is the new Automation Runner interface, designed to enable business users and first-level IT support specialists perform complicated SAP actions, including SAP system refreshes, using no advanced Basis knowledge at all.

The introduction of Avantra 26 is viewed by the company as an opportunity to provide its customers with better assistance in their SAP transformation. In light of current trends that drive companies towards more cloud-first approaches to SAP management, the company claims that this solution will become a tool for simplifying and accelerating modernization.

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