RavenSec discovers your attack surface, detects and explains vulnerabilities, generates the fix — and learns from every human decision. A closed loop, with you in control of every change.
Built for governments, banks, telecoms, and critical infrastructure.
One loop, fully automated — gated by you.
Six specialised AI agents drive each phase. Every action is logged immutably, and no change reaches production without human approval.
One platform, the whole lifecycle.
Not a scanner. Not a chatbot. A closed-loop operating system for security.
Attack-surface discovery
Agents enumerate domains, repos, cloud, and Kubernetes into a living graph of everything you expose.
AI detection & triage
Semgrep, Trivy, and Nuclei feed AI agents that correlate, score risk, and explain every finding in plain language.
Human-approved fixes
The engineer agent writes a minimal patch and tests. Nothing ships until a human approves and a PR is opened.
Immutable audit trail
Every state-changing action is recorded to an append-only ledger — built for compliance from day one.
Enterprise RBAC
Owner, admin, security-admin, developer, auditor, viewer — enforced at the edge on every request.
First-party Raven-1 models
Your approvals train Raven-1 — security models served on a high-performance, GPU-accelerated inference engine that replaces the baseline.
Frontier-grade models. Built in.
RavenSec trains its own frontier-grade security models — Raven-1-Code, -Sec, -Infra — that find vulnerabilities, write fixes and tests, and reason about threats. Every approval and rejection makes them sharper, and every fix is validated (compiles, passes tests, re-scans clean) before it reaches you.
The training and serving pipeline is built and functional today — datasets, QLoRA/DPO training, evaluation gate, and optimized GPU serving — ready to train on enterprise GPU clusters the moment we provision them.
See RavenSec in action.
Walk the full closed loop — discovery, AI fixes, the human approval gate, and the Raven-1 flywheel.
Launch the platform