Research agents map entry points, trust boundaries, and privileged execution paths.
AI SECURITY RESEARCH SYSTEMZero‑days, found before day zero.
The window to patch before attackers exploit has collapsed to zero. BARKIN investigates source code the way an expert researcher does, returning only verified findings with reproducible exploit evidence.
The patch window is gone
In 2018 you had roughly two years before a new critical bug was weaponized. Today, attackers can find and exploit bugs as fast as code ships. Patching after the fact no longer works — the only defense is to find the critical bug first.
The hunt — in four panels
Four research phases turn unfamiliar source into a small set of findings that survive reproduction.
The system forms and ranks hypotheses about where critical bugs are most likely.
Untrusted input is traced through every reachable branch to the code it can corrupt.
Each candidate is reproduced with proof-of-concept evidence. No proof, no report.
Full context. Investigate like a researcher.
BARKIN works from authorized source access, so each investigation can follow behavior across real architecture instead of guessing from the outside.
Authorized source access
Connect the repository through explicit, authorized source access.
Understand the system
Build working context from the codebase, dependencies, and architecture.
Think like a researcher
Pursue hypotheses, trust boundaries, and exploit chains with researcher-style reasoning.
Return exact evidence
Return verified findings with reproducible exploit evidence and exact code paths.
Verified. Exploitable. Nothing else.
Scanners hand you thousands of maybes. BARKIN returns a short list of confirmed zero-day issues — each with the evidence that reproduces it and the exact vulnerable code path.
▸ stored payload replayed — SQL sink reached
✓ arbitrary SQL execution reproduced 3/3 runs