proof of exploitation,
not probability.
Point it at your repo. Get back a short, ranked list of exploitable findings — each with a working proof, not a severity score. 16 agents · 50+ tools · seven phases · no human in the loop.
stop reading. start scanning.
paste a public github repo. we'll run phase 1 — whitebox + sast, seven engines, zero traffic to your target — and stream findings as they land.
why sekura
deterministic proof-of-exploit
We prove a vulnerability is exploitable before you act on it — with evidence and a verdict, not a probability score. Re-run a scan, get the same result.
on-prem · your data never leaves
Deploy behind your firewall. Your source code and all AI processing stay in your environment — built for finance, healthcare, gov, and defense.
self-serve · transparent pricing
Scan a repo right now. Public prices: $0 free tier, managed scans from $199, continuous CI from $49/user-mo. No "request a demo" wall.
four ways to start
pick your level of commitment.
Managed scan
One-off SAST / DAST / AI-skill scan, full report delivered. Pay per scan.
run a managed scan →Continuous (CLI / CI)
Wire Sekura into your pipeline — every PR, every push. Freemium.
get the CLI →Enterprise · on-prem
Deployed behind your firewall. SSO, compliance, your data stays put.
talk to sales →Frequently asked questions
What is autonomous penetration testing?
Autonomous penetration testing uses specialized AI agents to find and exploit vulnerabilities in a target system without a human pentester driving each step. Sekura runs a 7-phase pipeline — white-box SAST, recon, post-quantum crypto review, dynamic probing, exploit synthesis, chain analysis, and reporting — and verifies each finding by actually exploiting it.
How is Sekura different from traditional vulnerability scanners?
Vulnerability scanners output a list of potential issues ranked by severity score. Sekura verifies each finding through actual exploitation and only reports what it can prove. If a vulnerability cannot be exploited in the target environment, Sekura does not report it. The result is a short, ranked list of real, exploitable issues instead of thousands of theoretical alerts.
Does Sekura produce false positives?
No. Every reported finding includes a deterministic proof-of-exploit — the exact request, payload, and response that demonstrates the vulnerability is real. If Sekura cannot produce a proof, the finding is not reported.
How is autonomous pentesting different from a manual pentest?
A manual pentest is a point-in-time engagement that takes weeks and costs $30,000 to $150,000 per cycle. Sekura runs continuously, covers the whole attack surface, and updates as your environment changes. Both produce proofs-of-exploit; only Sekura runs every hour.
What LLM models does Sekura support?
Sekura works with Anthropic Claude and OpenAI GPT models. LLM calls are routed through proxy.sekura.ai so customers see exact token counts and pay one metered cost. Self-hosted Enterprise deployments can use private model endpoints.
Does Sekura see my source code?
No. The scanner runs entirely inside your GitHub Actions runner (cloud distribution) or behind your firewall (enterprise distribution). Sekura sees prompts and responses to the LLM proxy but never your repository contents. Findings are uploaded; source code is not.
Is Sekura open source?
The scanner CLI and agent runtime are source-available. The orchestration platform, dashboard, and managed cloud are commercial. See github.com/sekuraai for the public components.
What does Sekura test that other tools miss?
Sekura combines application security testing (SAST + DAST + exploit chaining) with LLM-security testing (prompt injection, jailbreak, data exfiltration) and post-quantum cryptography review (crypto-agility audits flagging quantum-vulnerable algorithms) in a single scan. Most tools cover one of these surfaces; Sekura covers all three.