adesh.

Labs

we do our research in the open.

benchmarks, attack simulations and the threat intel our products run on.

  • can a decision model be your guardrail? oct 2026 We ran 97 real prompt-injection emails through 18 decision models and Bedrock.
  • ai security threat intelligence sep 2026 The foundational AI security knowledge base behind raxIT.
  • nla audit may 2026 The first credible LLM explainability primitive we have seen in three years, wired into a prompt-engineering loop.
  • direphish apr 2026 An incident-response simulation engine that clones your organisation as AI agents, drops a threat actor into the room, and runs the attack dozens of times so you get a probability distribution instead of a single story.
  • grayzonebench aug 2025 An open-source safety benchmark for the prompts where the right answer is neither a refusal nor full compliance.

also open source. model-scanner, mcp-oauth-sample, securing-ralph-loop