Security Intelligence Operating System

Security that closes the loop.

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.

app.ravensec.io/dashboard
Open criticals
3
Assets
128
Vulnerabilities
47
Awaiting review
5
SQL injection in payments handlerCRITICAL
Log4Shell in dependency log4j-coreCRITICAL
SSRF in webhook fetchHIGH
Outdated TLS 1.0 acceptedMEDIUM
6AI agents in the loop
9backend services
100%human-approved changes
Raven-1first-party models
The closed loop

One loop, fully automated — gated by you.

DiscoverEnumerateScanDetectExplainPrioritizeFixValidateApproveDeployLearn

Six specialised AI agents drive each phase. Every action is logged immutably, and no change reaches production without human approval.

The platform

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 NVIDIA TensorRT-LLM + Triton that replace the baseline.

Raven-1 · first-party models

Not a wrapper. A data flywheel.

Every approval, rejection, and edit becomes labelled training data. RavenSec fine-tunes its own security models — Raven-1-Code, -Sec, -Infra — that grow cheaper and better than any general-purpose API, and replace the baseline once they win on every benchmark.

QLoRA + DPO
training
TensorRT-LLM + Triton
serving
NVIDIA NIM
packaging
A100 / H100 · FP8
accelerated

Built NVIDIA-native end to end — accelerated training and inference on the NVIDIA stack.

Security & compliance
RS256 JWT + MFA
mTLS between services
Append-only audit
Org-scoped RBAC

See RavenSec in action.

Walk the full closed loop — discovery, AI fixes, the human approval gate, and the Raven-1 flywheel.

Launch the platform