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 shift from passive responders to autonomous agents capable of planning, tool use, and long-term memory, they introduce new security challenges that traditional red teaming methods fail to address. To explore the current state of Agentic AI Red Teaming, we interviewed four leading language models—ChatGPT, Claude, Grok, and ...
AI systems aren’t just generating answers—they’re taking action, reasoning independently, and connecting to real-world systems. This week’s stories highlight how current defenses fail to address these expanded capabilities, revealing critical blind spots in identity management, cross-agent communication, and cloud-based safety infrastructure. From one-shot jailbreaks and latent-level exploits to insecure identity ...
Introduction: Why Agentic AI Red Teaming Changes Everything Agentic AI Red Teaming is no longer optional—it’s essential. As autonomous systems learn to reason, plan, and act on their own, they bring new security risks that traditional red teaming can’t catch. That’s why Adversa AI proudly contributed to the CSA’s Agentic ...
Why MCP Security Issues Are Growing — and Why You Should Care The Model Context Protocol (MCP) is rapidly emerging as the backbone of autonomous agent communication—akin to what TCP/IP is for the internet. But with its rising adoption comes a growing wave of exploits. As researchers and attackers alike ...
AI systems are no longer just responding to prompts — they’re acting, adapting, and making decisions. This week’s stories reveal how traditional security tools like SIEM, firewalls, and EDR fail to protect GenAI and Agentic AI systems, and why new approaches like continuous AI Red Teaming, identity enforcement, and jailbreak ...
The Institute for Critical Infrastructure Technology (ICIT) has published a new report that connects the OWASP-LLM Top 10 risks with real-world AI security practices. This is more than just a list of threats. It is a practical guide designed to help teams secure large language models (LLMs) in real-world systems. ...
AI Is Eating the Enterprise — But the Enterprise Is on the Menu Too. Seventy-two percent of organisations already embed AI, yet only 13 percent feel truly ready. Attackers know that gap and are rushing to weaponise it. Cisco’s latest report reads like a flight-recorder transcript from the future of ...
This week’s stories highlight the rapid emergence of new threats and defenses in the Agentic AI landscape. From OWASP’s DNS-inspired Agent Name Service (ANS) for verifying AI identities to real-world exploits like jailbreakable “dark LLMs” and prompt-injected assistants like GitLab Duo, the ecosystem is shifting toward identity-first architecture and layered ...
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