Traditional chatbot red teaming leaves 85% of the agentic AI attack surface exposed. Learn what action risk entails, explore key agentic threats like memory poisoning and tool hijacking, and understand why securing agents demands a fundamentally different approach than securing LLMs.
MCP is becoming ubiquitous in agentic AI toolchains, but it places a non-deterministic LLM at the center of security-critical decision-making. The CoSAI white paper reveals more than 40 MCP threats that most organizations aren’t addressing and proposes controls and mitigations.
The GenAI security landscape entered 2026 with urgent warnings from global agencies and breakthrough research. CISA and international partners released comprehensive frameworks for securing AI in critical infrastructure, while researchers discovered that AI-generated code now shows 1.7x higher bug density than human-written code. Major stakeholders, including the UK NCSC and ...
The security landscape is shifting rapidly as AI transitions from passive helper models to autonomous agents capable of executing code and manipulating external tools. This month’s digest highlights a critical pivot: vulnerabilities are moving from simple text manipulation to complex systemic exploits, such as the Anthropic tool-selection exploit and the ...
Top MCP security resources — January 2026 As the Model Context Protocol becomes the de-facto standard for connecting AI agents to external data and tools, the security community is pivoting to address its unique attack surface. This month, we have seen an influx of research into metadata poisoning and specific ...
Cascading failures in agentic AI: the definitive OWASP ASI08 security guide A Comprehensive Technical Reference for Security Professionals, Architects, and Risk Managers Table of contents Introduction: understanding cascading failures in agentic AI Why cascade prevention matters for agentic AI security Anatomy of agentic AI cascading failures Temporal patterns of cascading ...
Agentic AI Security Resources – December 2025 As AI agents become increasingly autonomous—browsing the web, executing code, and making decisions with minimal human oversight—the security landscape is rapidly evolving. Agentic AI introduces new attack surfaces, from prompt injection vulnerabilities to over-privileged tool access. This digest compiles the most critical resources ...
GenAI Security: Essential Resources for December 2025 Generative AI has rapidly become ubiquitous in business applications, and the installed base of AI assistants already exceeds one billion users. Security considerations for this wide adoption range from sophisticated prompt-injection attacks to novel side-channel vulnerabilities, and the threat landscape for AI systems ...
December 2025 MCP Security Digest As the Model Context Protocol (MCP) celebrates its first anniversary, security has emerged as the critical foundation for the agentic AI ecosystem. MCP enables AI models to connect with external tools, data sources, and applications—but this powerful capability introduces new attack surfaces that organizations must ...
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