Security for AI Agents

The next generation of threats is already here. We defend agents with AI.

The attack surface has shifted.

AI agents run code, browse, call tools, and make decisions
Toolchains like LangChain, vLLM, and MCPs extend model capabilities — and attack surfaces
Traditional security can’t reason about agents, prompts, or LLM decisions
Attackers are already using LLMs to exploit this shift

What We Do

AI Red Team-as-a-Service
Agent runtime isolation & prompt tracing
Vulnerability discovery in LLM infra & tools
SDK to harden agent toolchains

Demo: Prompt Injection Blocked

Agent received malicious prompt...
[flaw0] Detected injection → sandboxed tool call prevented.
[flaw0] Risk score: HIGH | Trace ID: #0237x-a9f

flaw0 Labs

Coming soon: write-ups on real-world agent attacks, 0-days, and AI-driven exploits.