Explore the top MCP security resources for March 2026, including critical vulnerabilities in Anthropic DXT and emerging attack vectors like API budget drains via overthinking.
Explore the top 19 MCP security resources for February 2026, including the new CoSAI security framework, confirmed RCE vulnerabilities in Anthropic’s Git MCP server, and emerging attack vectors like tool poisoning.
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.
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 ...
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 ...
Introduction The Model Context Protocol (MCP) has rapidly emerged as a critical framework for AI agent communication and integration. As MCP adoption accelerates across enterprise environments, security considerations have become paramount. With agents handling sensitive data, executing commands, and bridging multiple systems, the attack surface has expanded significantly. This digest ...
MCP Security is a top concern for anyone building Agentic AI systems. The Model Context Protocol (MCP) connects tools, agents, and actions. It plays a role similar to TCP/IP—but for autonomous workflows. If MCP is compromised, the entire agent stack is at risk. Attackers can inject prompts, hijack tools, and ...
MCP Security is a top concern for anyone building Agentic AI systems. The Model Context Protocol (MCP) connects tools, agents, and actions. It plays a role similar to TCP/IP—but for autonomous workflows. If MCP is compromised, the entire agent stack is at risk. Attackers can inject prompts, hijack tools, and ...
As AI systems evolve from passive responders to autonomous agents equipped with planning, memory, and tool use, the Model Context Protocol (MCP) becomes a central architectural layer — and a new security frontier. Yet traditional red teaming approaches are ill-equipped to test how MCP-enabled agents interact, delegate, and reason across ...
Introducing Universal LLM Jailbreak approach. Subscribe for the latest AI Jailbreaks, Attacks and Vulnerabilities If you want more news and valuable insights on a weekly and even daily basis, follow our LinkedIn to join a community of other experts discussing the latest news. In the world of artificial intelligence (AI), [...]
