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Resources

AIUC-1: Crosswalks OWASP Top 10 For Agentic Applications

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The AIUC-1 Crosswalk of the OWASP Top 10 for Agentic Applications provides a bidirectional mapping between AIUC-1 requirements and the OWASP Agentic Security Initiative’s Top 10 risks for autonomous and agentic AI systems. It helps organizations understand how AIUC-1 controls align with threats such as agent goal hijacking, tool misuse, identity and privilege abuse, memory […]

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Resources

AI Security Solutions Landscape for Agentic AI Q2 2026

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The Solutions Landscape monitors and maps the full Agentic AI lifecycle, focusing on the DevOps–SecOps intersection to meet evolving security needs. Guided by the Agentic AI Threats and Mitigations guide and SecOps tasks, it highlights open-source and commercial solutions by stage, identifying their coverage of Agentic SecOps duties and threat mitigation, and leverages industry and

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Resources

OWASP GenAI Data Security Risks & Mitigations 2026

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The OWASP GenAI Data Security Risks and Mitigations 2026 guide provides a critical, forward-looking analysis of the unique data security challenges posed by the rapid, widespread adoption of Generative AI (GenAI) across enterprise environments, anticipating the landscape by 2026. This comprehensive guide moves beyond traditional software security paradigms to address the novel attack surfaces that

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Resources

OWASP Vendor Evaluation Criteria for AI Red Teaming Providers & Tooling v1.0

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Vendor Evaluation Criteria for AI Red Teaming Providers & Tooling is a practical guide for organizations assessing vendors that offer AI red teaming services or automated testing tools. Developed under the OWASP GenAI Security Project, the document outlines clear criteria for evaluating both simple GenAI systems (such as chatbots and RAG applications) and advanced systems

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Resources, Publications

OWASP Top 10 for Agentic Applications for 2026

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The OWASP Top 10 for Agentic Applications 2026 is a globally peer-reviewed framework that identifies the most critical security risks facing autonomous and agentic AI systems. Developed through extensive collaboration with more than 100 industry experts, researchers, and practitioners, the list provides practical, actionable guidance to help organizations secure AI agents that plan, act, and make decisions across complex workflows. By distilling a broad ecosystem of OWASP GenAI Security guidance into an accessible, operational format, the Top 10 equips builders, defenders, and decision-makers with a clear starting point for reducing agentic AI risks and supporting safe, trustworthy deployments.

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Introduction – OWASP GenAI Security Project – Threat Defense COMPASS

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The GenAI Security Project’s Threat Defense COMPASS consolidates AI threats, vulnerabilities, defenses, and mitigations into a unified AI Threat Resilience Strategy Dashboard. COMPASS enables organizations to evaluate everything from external adversaries using AI tools to internal deployments of Microsoft Copilot, Google Gemini, and proposed GenAI or Agentic projects. Designed for iterative use, COMPASS serves as

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Agentic AI Capture The Flag (CTF) – FinBot DEMO: Goal Manipulation

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Explore the OWASP Agentic AI CTF through a hands-on walkthrough of the FinBot demo. This session highlights the “goal manipulation” challenge, revealing how attackers can exploit agentic AI systems and showcasing strategies to identify and defend against these advanced threats. FinBot is part of the OWASP GenAI Security Project’s Agentic Security Initiative, created to equip

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OWASP AI Agentic Top 10 Project Kick-off – Global Livestream

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The OWASP Gen AI Security Project – Agentic Security Initiative, brought together community members, experts and contributors virtually and in 4 location around the globe (London, Las Vegas – Black Hat, Athens, and TelAviv to kick-off work of refining the OWASP Agentic Threats and Mitigations, to begin to distil into a prioritized OWASP Top 10

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Why MCP Agents Are the Next Cyber Battleground

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As agentic AI systems transition from conceptual models to real-world deployments, MCP (Model Context Protocol) agents are emerging as a critical interface layer — and the next major attack vector. These autonomous, API-driven actors aren’t just executing tasks; they’re reshaping how LLMs interact with tools, data, and infrastructure across enterprise environments. In this webinar, we’ll

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