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 ...
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 ...
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. ...
From GPT-5 jailbreaks leaking harmful instructions within hours of release to new benchmarks exposing systemic weaknesses in major models, this week highlighted how fragile LLM Security remains. Despite new training methods, Jailbreak LLM attacks like context poisoning and obfuscation continue to bypass guardrails. As enterprises experiment with tool-using and multi-agent ...
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 ...
From poisoned calendar invites that let attackers open smart shutters to hallucinated software packages seeding malware into supply chains, this week’s AI security stories highlight just how many doors are left open in generative and agentic systems. Research at Black Hat USA showed that even seemingly routine integrations — like ...
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 ...
From compromised coding assistants to identity-collapsing agent chains, this week’s AI security incidents reveal just how fragile the foundations of generative and agentic systems remain. The Amazon Q supply chain breach showed how a single malicious prompt could wipe infrastructure at scale—if not for a lucky syntax error. Meanwhile, researchers ...
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