Addressing the OWASP Top 10 Risks in Agentic AI with Microsoft Copilot Studio

This Microsoft Security Blog article discusses the OWASP Top 10 Risks for Agentic AI Applications (2026), highlighting new security challenges as autonomous AI systems move from pilots to production. Agentic AI collapses application, identity, and data risks into a single operating model, where systems can retrieve sensitive data, invoke tools, and execute actions using real identities and permissions. The article outlines 10 failure modes including agent goal hijacking (ASI01), tool misuse (ASI02), identity abuse (ASI03), supply chain vulnerabilities (ASI04), unexpected code execution (ASI05), memory poisoning (ASI06), insecure inter-agent communication (ASI07), and cascading failures (ASI08). Microsoft demonstrates how Copilot Studio and Agent 365 provide mitigations for these risks. Security teams should establish clear boundaries, enforce least-privilege permissions, and govern tool use tightly to prevent agents from taking unintended actions.

Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations in Microsoft Copilot Studio. The post Addressing the OWASP Top 10 Risks in Agentic AI with Microsoft Copilot Studio appeared first on Microsoft Security Blog .

This Microsoft Security Blog article discusses the OWASP Top 10 Risks for Agentic AI Applications (2026), highlighting new security challenges as autonomous AI systems move from pilots to production. Agentic AI collapses application, identity, and data risks into a single operating model, where systems can retrieve sensitive data, invoke tools, and execute actions using real identities and permissions. The article outlines 10 failure modes including agent goal hijacking (ASI01), tool misuse (ASI02), identity abuse (ASI03), supply chain vulnerabilities (ASI04), unexpected code execution (ASI05), memory poisoning (ASI06), insecure inter-agent communication (ASI07), and cascading failures (ASI08). Microsoft demonstrates how Copilot Studio and Agent 365 provide mitigations for these risks. Security teams should establish clear boundaries, enforce least-privilege permissions, and govern tool use tightly to prevent agents from taking unintended actions. Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations in Microsoft Copilot Studio. The post Addressing the OWASP Top 10 Risks in Agentic AI with Microsoft Copilot Studio appeared first on Microsoft Security Blog . Agentic AI is moving fast from pilots to production. That shift changes the security conversation. These systems do not just generate content. They can retrieve sensitive data, invoke tools, and take action using real identities and permissions. When something goes wrong, the failure is not limited to a single response. It can become an automated sequence of access, execution, and downstream impact. Security teams are already familiar with application risk, identity risk, and data risk. Agentic systems collapse those domains into one operating model. Autonomy introduces a new problem: a system can be “working as designed” while still taking steps that a human would be unlikely to approve, because the boundaries were unclear, permissions were too broad, or tool use was not tightly governed. The OWASP Top 10 for Agentic Applications (2026) outlines the top ten risks associated with autonomous systems that can act across workflows using real identities, data access, and tools. This blog is designed to do two things: First, it explores the key findings of the OWASP Top 10 for Agentic Applications. Second, it highlights examples of practical mitigations for risks surfaced in the paper, grounded in Agent 365 and foundational capabilities in Microsoft Copilot Studio . Secure agentic AI with Microsoft Security OWASP helps secure agentic AI around the world OWASP (the Open Worldwide Application Security Project) is an online community led by a nonprofit foundation that publishes free and open security resources, including articles, tools, and documentation used across the application security industry. In the years since the organization’s founding, OWASP Top 10 lists have become a common baseline in security programs. In 2023, OWASP identified a security gap that needed urgent attention: traditional application security guidance wasn’t fully addressing the nascent risks stemming from the integration of LLMs and existing applications and workflows. The OWASP Top 10 for Agentic Applications was designed to offer concise, practical, and actionable guidance for builders, defenders, and decision-makers. It is the work of a global community spanning industry, academia, and government, built through an “expert-led, community-driven approach” that includes open collaboration, peer review, and evidence drawn from research and real-world deployments. Microsoft has been a supporter of the project for quite some time, and members of the Microsoft AI Red Team helped review the Agentic Top 10 before it was published. Pete Bryan, Principal AI Security Research Lead, on the Microsoft AI Red Team, and Daniel Jones, AI Security Researcher on the Microsoft AI Red Team, also served on the OWASP Agentic Systems and Interfaces Expert Review Board. Agentic AI delivers a whole range of novel opportunities and benefits. However, unless it is designed and implemented with security in mind, it can also introduce risk. OWASP Top 10s have been the foundation of security best practice for years. When the Microsoft AI Red Team gained the opportunity to help shape a new OWASP list focused on agentic applications, we were excited to share our experiences and perspectives. Our goal was to help the industry as a whole create safe and secure agentic experiences . Pete Bryan, Principal AI Security Research Lead The 10 failure modes OWASP sees in agentic systems Read as a set, the OWASP Top 10 for Agentic Applications makes one point again and again: agentic failures are rarely “bad output.” But they are bad outcomes. Many risks show up when an agent can interpret untrusted content as instruction, chain tools, act with delegated identity, and keep going across sessions and systems. Here is a quick breakdown of the types of risk...