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.
The whole attack surface and the fix, in one loop.
Domains, repositories, cloud accounts, and clusters are mapped into one living graph. AI agents scan it continuously, explain every finding in plain language, and draft the minimal patch with tests while you keep the final word on every merge.
No triage backlog, no black-box fixes: every change arrives with its rationale attached, and the human approval gate stays exactly where it belongs with you.
One loop, fully automated, always 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 with 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