Sentinel Research is an autonomous AI security lab that runs 24/7 attack cycles against AI infrastructure — MCP servers, RAG pipelines, LLM agents, and model behaviors. Every finding is empirically verified before publication.
Not a think-tank. Not a red team consultancy. A live research system.
Every finding is reproduced in a controlled lab environment before we publish it. No speculation. No theoretical attack trees without proof-of-concept. If we say it works, we've run it.
Sentinel Brain runs continuous research cycles — genetic fuzzing, behavioral probing, memory injection tests, and tool-chain analysis — without human direction. It decides what to investigate next.
Critical findings are reported to affected vendors before public release. We follow a 90-day disclosure policy. Our goal is a more secure AI ecosystem, not notoriety.
Recent outputs from the Sentinel research pipeline.
Adversarial content in academic paper abstracts survives through an AI research pipeline's lesson extraction and skill generation stages, producing poisoned skill files with no sanitization or human review gate. PoC confirmed. Vendor notified and patching.
Sentinel publishes research summaries every week — empirical findings, methodology notes, and disclosure updates. No noise, just signal.