--- title: "Sekura — Autonomous & Continuous Security" url: https://sekura.ai/ description: "AI agents probe your code like an adversary and report only what they could actually exploit — each with a working proof and a fix. Your first scan is free." updated: 2026-10-11 generator: sekura build, scripts/build-markdown.mjs --- Sekura # Autonomous & Continuous Security Expose the Weakness. Prove the Risk. Sekura probes your code and the infrastructure around it the way an adversary would, then hands you the short list of exploits. Each one comes with a working proof and a fix. - No demo call required - Self-serve - Zero data retention [Scan a repository for free](https://sekura.ai/app/start)[See a sample report →](https://sekura.ai/sample-report/) Your first scan is free — a complete repo scan, proof included. No credit card needed. ![Sekura — owl-in-shield mark](https://sekura.ai/branding/sekura-owl-v3.png) 59Scans run 1,187Vulnerabilities found 25Critical ones Live counts · `GET /api/scan-stats` Why now ## Offense scales with compute. Defense still scales with headcount. Three quarters of new code is now written by a machine. Nearly half of it is insecure, and it ships four times faster at ten times the defect rate — against a security workforce that is millions of people short. Writing, breaking and exploiting code have all moved onto the compute curve. Testing is the last thing still on the hiring curve, and no hiring plan closes that gap. 75% of new code is AI-generated Google 55% of AI generations produce secure code Veracode · 150+ models 10× the rate of findings, at 3–4× the commit speed Cloud Security Alliance 4.8M unfilled security roles, growing 19% a year One in four US posts vacant Proof, not probability ## Scanners give you scores. Sekura gives you proof. You do not get a dashboard of alerts to triage. You get a report you can hand to an engineer, an auditor or a board, with every finding carrying the request and response that prove it. A severity score is theoretical. A proof is real-world. STEP 1 ### Hypothesis Static analysis, recon and a swarm of specialist agents propose what might be exploitable. STEP 2 ### VerdictGate Every hypothesis has to produce a working, evidence-only proof. Anything that cannot is downgraded. Core differentiator STEP 3 ### Reported Only confirmed findings ship — each with the request, payload, response and a fix. The pipeline ## Seven phases. Seven records. Every phase is a real set of agents and tools, and each one leaves an output record you can read — from reading the code to proving the chain. PHASE 1 ### White-box + SAST Stack-level analysis engines plus a reviewer read the repo and seed every later phase with ground truth. PHASE 2 ### Reconnaissance Fifty-plus tools map the attack surface across nine layers, from layer-3 up to the application. PHASE 3 ### Crypto agility Writes a Cryptographic Bill of Materials and flags anything a future quantum computer would break. PHASE 4 ### Vulnerability analysis A swarm of specialist agents fans out across the surface and returns hypothesis-level findings with evidence. PHASE 5 ### Exploitation A swarm of exploit agents confirms hypotheses with safe, evidence-only proofs; anything unprovable is downgraded. PHASE 6 ### Chain analysis Walks the confirmed-findings graph; a cross-validator rejects any chain that fails an independent replay. PHASE 7 ### Reporting De-duplicates, attaches evidence, scores CVSS and maps to OWASP, MITRE ATT&CK, PCI-DSS and SOC 2. THE CHAIN IS THE FINDING ### Individually medium. Chained, critical. An IDOR and a SQL injection, plus a session token that replays, become a full account takeover. The chain only exists in the graph. Integrations and compliance (for enterprise customers) ## Works where you already work. Maps to what you already report. ### Works with AI agents - Meta Muse - REST API with OpenAPI 3.1 Notifications + fixes - Slack - Outlook - Teams - Jira - Confluence ### Maps to Every finding is mapped to **14** compliance frameworks for you, so audit prep comes out of every scan. - SOC 2 - ISO 27001 - HIPAA - PCI DSS - NIST CSF - NIST 800-53 - GDPR - CCPA - FedRAMP - HITRUST - FFIEC - CIS - GLBA - CMMC For developers ## Start free. Keep it checked, weekly or daily. This is for the developer who ships software. Sign in with GitHub and run a free code scan. Then pick how you want to work: on demand, with Scan Once at $200 for one deep pass; or continuous, with Scan Always at $20 a month for a weekly code test, ScanPlus Always at $100 a month to add a lab copy of your app, or ScanPro Always at $300 a month to run it every day. Each plan includes one repository, and the lab-copy plans one target app; extra targets are $100 each. Free Scan See a real report. Free - Code test · SAST - Once [Scan a repository](https://sekura.ai/app/start) Scan Once On demand, one deep pass. $200 - Code test · SAST - Lab copy · lab DAST - Once [Scan once](https://sekura.ai/app/start) Recommended Always Continuous, weekly or daily. $20 / $100 / $300 / mo - Code test · SAST - Lab copy · on ScanPlus and ScanPro - Weekly or daily [Start](https://sekura.ai/app/start) [Scan a repository for free →](https://sekura.ai/app/start)[Developer pricing →](https://sekura.ai/pricing/#developer) For enterprise ## Test your live application and your network. LiveScan tests your running application, signed in. MasterScan adds network security. The prices are published — $500 and $1,500 a month — but you do not buy enterprise plans online. You contact us, provide VPN tunnel details, and sign an SLA and a liability release before any live testing runs. On-premises deployment is available too. LIVESCAN ALWAYS ### $500 / mo · your live application Code test and a test of your live application, signed in · live DAST — daily, over a VPN tunnel. 1 repo + 1 target. MASTERSCAN ALWAYS ### $1,500 / mo · adds network security Everything in LiveScan plus network security across your nodes — daily. 1 repo + 1 target + 10 nodes. [Request a POC](https://sekura.ai/poc/)[Enterprise pricing →](https://sekura.ai/pricing/#enterprise)