Executive Summary: “The Asana MCP incident exposed 1,000 organizations’ data through a single line of code, proving that when AI meets enterprise SaaS, yesterday’s security playbook is obsolete. This isn’t about one vendor’s mistake – it’s about an industry racing to deploy AI without understanding the fundamentally different threat model ...
Explore the TOP GenAI Resources to stay informed about the most pressing risks and defenses in the field. As GenAI becomes deeply integrated into products, workflows, and user-facing systems, attackers are actively exploiting its vulnerabilities. Prompt injections, jailbreaks, unsafe output handling, and compromised integrations are exposing critical gaps in security. ...
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 ...
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 ...
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 ...
Prompt injection remains one of the most dangerous and poorly understood threats in AI security. To assess how today’s large language models (LLMs) handle Prompt Injection risks, we interviewed ChatGPT, Claude, Grok, and Deepseek. We asked each of them 11 expert-level questions covering real-world attacks, defense strategies, and future readiness. ...
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