Explore the Top Agentic AI Resources to stay informed about the most pressing risks and defenses in the field.
As autonomous agents gain new capabilities—reasoning, memory, tool use—they also introduce unique security challenges. This collection covers the latest research, real-world exploits, and AI red teaming strategies exposing how Agentic AI systems can be manipulated or compromised. From indirect prompt injections to cross-agent coordination issues, and foundational risks like MCP Security, you’ll find insights and guidance to help secure next-gen AI architectures.
Forrester unveils AEGIS, a comprehensive security framework designed to help CISOs navigate the unique challenges of securing agentic AI systems in enterprise environments. Read more
A strategic guide for Chief Information Security Officers on understanding, implementing, and securing agentic AI technologies within their organizations. Read more
Research revealing a zero-click vulnerability in ChatGPT connectors that could potentially compromise agentic AI systems without user interaction. Read more
An exploration of shadow injection techniques and adversarial testing methodologies specifically targeting tool-augmented AI agents. Read more
Analysis of how malicious actors can use hidden prompt injections to compromise AI-powered code assistants, with specific focus on tools like Cursor. Read more
Technical deep dive into prompt injection techniques specifically targeting GitHub Copilot, demonstrating exploitation methods and attack vectors. Read more
Critical vulnerability discovery showing how prompt injection in GitHub Copilot can lead to remote code execution and complete system compromise. Read more
Investigation into indirect prompt injection vulnerabilities found in Perplexity’s Comet browser, highlighting risks in agentic browser implementations. Read more
Video presentation demonstrating red teaming techniques and methodologies specifically designed for testing agentic AI systems on the HackAPrompt platform. Read more
Comprehensive research testing agentic AI browsers against scam scenarios, revealing critical security failures in automated decision-making. Read more
Academic paper presenting DIRF, a novel framework for protecting digital identities and managing clone governance in autonomous AI systems. Read more
Research introducing the Aegis Protocol as a foundational security framework designed to protect and govern autonomous AI agents. Read more
Black Hat presentation examining scenarios where traditional AI guardrails fail to provide adequate security for agentic systems. Read more
Comprehensive threat modeling and risk analysis focused on securing agentic AI systems used for network monitoring applications. Read more
Practical guide detailing thirteen accessible exploitation techniques that can be used to compromise agentic AI browsers. Read more
Practical guide offering simple yet effective defense strategies to protect AI agents from prompt injection attacks. Read more
Analysis of AI agent gateways as emerging critical security boundaries in modern agentic AI architectures. Read more
Video training covering OWASP guidelines and real-world defense strategies for securing agentic AI systems. Read more
OWASP’s comprehensive report on the current state of agentic AI security and governance, providing baseline standards and recommendations. Read more
Cloud Security Alliance’s trait-based approach to designing secure agentic systems, offering architectural patterns and security considerations. Read more
Foundational guide covering basic attack vectors, methodologies, and security considerations for those new to agentic AI security. Read more
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