◆ multi-agent security review
A red team of AI agents,
reviewing every line
you ship.
Connect a repo and Bugbear dispatches specialized agents across your code — each hunting a different class of vulnerability. You get one clear, fix-ready report.
tokens included · results in minutes · source never stored
repo · api-gateway6 agents active
TAINT
Injection & taint
GHOST
Leaked secrets
ROT
Dependency CVEs
CREEP
Access control
13 findings so far2 critical
// HOW IT WORKS
From repo to report in three steps.
01
Connect a repo
Link a GitHub repo — public or private — in two clicks. We read it in an isolated sandbox and wipe it after.
02
The swarm scans
Six specialized agents work in parallel — reading context across files, chaining exploits like a real attacker would.
03
Fix-ready report
Every finding comes with the exact file, line, exploit path, and a suggested patch you can copy straight in.
// MEET THE SWARM
Six agents. One per attack class.
Each agent goes deep on its own class — injection, secrets, dependencies, access control, logic, config — instead of one model skimming everything.
// WHY A SWARM
It finds the bugs that live
between the files.
Most scanners look at one file at a time. Real vulnerabilities span a route handler here, a helper there, a config three folders away. Bugbear's agents share context and chain findings — so a “harmless” input in one file gets traced to the query it poisons in another.
✓Cross-file taint & exploit chaining
✓Reasoned severity — not just a rule ID
✓Near-zero false positives (agents verify each other)
$ bugbear trace finding #F-0421
TAINT → user input at routes/search.js:14
↳ passed unsanitized to buildQuery()
flows to db/query.js:88
↳ string-concatenated into SQL
✗ CRITICAL · SQL injection · CWE-89
verified by CREEP · exploitable without auth
// SIMPLE PLANS
Plans from $19/mo. Tokens included. Cancel anytime.
One token scans 1,000 lines. Run one before a launch, or wire it into every PR — your plan's tokens cover the code the swarm reads.