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Whitepapers/Guides

Whitepapers

Resources

LLM Exploit Generation Guide 2.0

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The GenAI Security Project’s LLM Exploit Generation Phase 2 report compares human-guided and autonomous AI approaches against live cybersecurity targets. It examines success, human effort, cost, guardrails, and operational limitations. Both approaches reduced the expertise needed for attacks, but neither eliminated it. Autonomous agents often produced noisy, repetitive activity, while human-guided attacks could be quieter. […]

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Resources

GenAI Red Teaming Manual Version 1.0

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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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Resources

OWASP GenAI LLM Top 10 2026

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OWASP Top 10 for LLM Applications 2026 is the latest community-driven guide to the most critical security risks facing applications powered by large language models. Developed by hundreds of AI security experts, this edition introduces updated rankings, expanded threat coverage, and new research grounded in thousands of real-world AI security incidents. The guide provides practical

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Resources

Solutions Landscape – Red Teaming Taxonomy

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  This document serves as the foundational taxonomy for the AI and Agentic Red Teaming Solutions Guide. It establishes a common language and structured classification of capabilities across red, blue, and purple teaming, organized by practitioner lifecycle stages. The taxonomy is intended to support companion solutions guides and cheat sheets that map, in detail, how

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Resources

State of Agentic AI Security and Governance 2.01

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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

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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

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

A Practical Guide for Secure MCP Server Development

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A Practical Guide for Secure MCP Server Development provides actionable guidance for securing Model Context Protocol (MCP) servers—the critical connection point between AI assistants and external tools, APIs, and data sources. Unlike traditional APIs, MCP servers operate with delegated user permissions, dynamic tool-based architectures, and chained tool calls, increasing the potential impact of a single

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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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OWASP Top 10 for Agentic Applications for 2026