SIRENBOW is an independent research group working on AI system security and full-stack penetration testing. We publish our methodologies, vulnerability analyses, and field reports in full — every conclusion traceable, every result verifiable.
Model abuse, prompt-injection paths, agent tool-use boundaries, and the systems wrapped around the model.
Authorization models, authentication flows, injection classes, and pre-launch security review.
Identity and permission boundaries, network exposure, secret handling, and misconfiguration review.
Bridge value-conservation, contract logic flaws, and public incident post-mortems with on-chain evidence.
Client-side trust boundaries, local storage, transport security, and API surface review.