Practitioners

Resources

GenAI Red Teaming Manual Version 1.0

The GenAI Security Project’s GenAI Red Teaming Manual provides practical guidance for evaluating the security, safety, and robustness of generative AI systems. Its eight-phase methodology covers planning, reconnaissance, attack surface mapping, exploitation, persistence, impact assessment, reporting, and remediation. Addressing models, applications, multimodal interfaces, and AI agents, it emphasizes ethical testing, reproducible findings, measurable outcomes, and […]

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Article, Resources, Announcement

GenAI and Agentic AI Exploit Roundup Q3 2026

Coverage period: July 1, 2026 through September 30, 2026 Overview This roundup consolidates selected major AI-related security incidents and exploit disclosures reported during the coverage period. It aligns each entry to the OWASP Top 10 for LLM Applications 2026 and the OWASP Top 10 for Agentic Applications 2026, with published CVE references where available. It

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Article, Resources

GenAI and Agentic AI Exploit Roundup Q2 2026

April 1 through June 30 2026 Overview Six selected cases show how AI integrations, coding tools, and browser agents can turn ordinary inputs or delegated access into security exposure. Defenders should constrain tool execution and credentials, preserve input provenance, and monitor the actions agents take. Coverage includes incidents and technical disclosures published during the quarter.

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Resources

State of Agentic AI Security and Governance 2.01

The State of Agentic AI Security and Governance provides a comprehensive view of today’s landscape for securing and governing autonomous AI systems. It explores the frameworks, governance models, and global regulatory standards shaping responsible Agentic AI adoption. Designed for developers, security professionals, and decision-makers, the report serves as a practical guide for navigating the complexities

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Resources

AIUC-1: Crosswalks OWASP Top 10 For Agentic Applications

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

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

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

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

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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OWASP Top 10 for Agentic Applications for 2026