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 ...
As generative AI continues to transform industries and reshape how we interact with technology, the security landscape surrounding these powerful systems has never been more critical. October 2025 saw a surge in both sophisticated attacks and innovative defense mechanisms, highlighting the ongoing cat-and-mouse game between security researchers and malicious actors. ...
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 ...
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 ...
AI Reasoning Leakage Vulnerability: Self-betrayal attack UAE MBZUAI G42 K2 Think Executive Summary A critical vulnerability has been identified in advanced reasoning system of just released latest reasoning model by UAE’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in collaboration with G42 where the model’s internal thought process inadvertently exposes ...
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 ...
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 ...
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 ...
From Lenovo’s chatbot breach exposing session cookies to our own research uncovering PROMISQROUTE, a novel vulnerability in GPT-5’s routing mechanism found by Adversa AI Research team, this week showed how fragile AI security architectures still are. The risks are not limited to technical flaws: regulators are struggling too, as NIST ...
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