BISO scans, predicts, quarantines, and fixes bugs across your entire estate — then remembers every one, so the same pathogen never costs you twice.
Scanners find issues faster than humans can fix them. Your team triages the same patterns month after month. MTTR drifts up, the board asks questions, and the gap between finding and fixing only widens.
The same vulnerability class, in the same codebase, found again next quarter — triaged from scratch, again.
From finding to merged fix. Most of that time isn't engineering — it's human context-switching.
Scanners scale linearly. Your security team doesn't. More tools means more findings, not more fixes.
The problem was never detection. It's that nothing downstream of detection is autonomous — and nothing remembers.
Every bug the system sees makes every future prediction sharper. That's the moat — not the code, the compounding memory.
Semgrep + CodeQL + Snyk side-by-side, findings cross-validated and deduplicated.
Cluster, score, dedupe — memory-aware, so returning patterns are recognized instantly.
The Oracle scores every change before merge — topology, history, calibration.
Flip a feature flag or trip a circuit breaker. Contain in seconds, not sprints.
Blue writes the diff, Red attacks it, Judge rules — iterate on failure, in real worktrees.
Every bug embedded into semantic memory. The same pattern is never re-triaged cold.
Outcomes recalibrate per-class and per-signal weights. Predictions sharpen.
It doesn't pattern-match the diff. It knows the import graph, the blast radius, the file's bug history, and the Learner's calibration. A one-line change on a load-bearing file scores BLOCK. The same touch on a leaf? Safe.
Blue proposes a minimal diff. Red writes a test built to break it. Judge rules ship / iterate / escalate. Failures feed back in; escalations land in your triage inbox with the diff, tests, and rationale — accept or retry in one click.
Every bug becomes a 512-dim vector via deterministic hashed-TF. No API, no GPU, fully air-gapped. Triage recognizes a returning pattern in one lookup — even across repos, even fourteen months later.
When a fix holds, regresses, or rolls back, the Learner adjusts per-bug-class and per-signal weights. The Oracle you have next quarter is measurably sharper than the one you installed.
A confirmed vulnerability on a live path doesn't wait for a patch. BISO flips the feature flag or trips the circuit breaker — blast radius sealed while the fix loop works.
Default-deny policy engine with veto on every agent. Hash-chained audit log, verifiable in one command. Kill switch halts everything. Auth, payments, and IaC zones are read-only — always.
Eighteen pages from the real dashboard — populated with demo data the moment you deploy.













Each agent does one thing well. None can act without authorization — the orchestrator's chokepoint means every action is policy-checked, audited, and killable.
From zero to production in two weeks — earning trust before earning authority.
Book a call — we set up access to the private repo and walk you through the platform.
One command deploys the full stack to your infrastructure. No cloud dependency.
One click populates every screen — cartographer graph, Oracle predictions, triage inbox, metrics.
$ docker compose up -d ✓ biso-backend started ✓ biso-dashboard started ✓ postgres + pgvector started ✓ agents online 12 / 12 $ biso audit verify ✓ hash chain intact 44,207 entries · 0 breaks → dashboard live at http://localhost:3000 → baseline scan running across 14 repos…
See your own repos scanned, scored, and self-healing — deployed inside your perimeter, in a live 30-minute session.