sekura

how it works

from your repo to a proven exploit — one pipeline.

Specialized AI agents run a seven-phase pipeline — static analysis, reconnaissance, vulnerability analysis, exploitation, and chain analysis — and hand back deterministic proof-of-exploit with a one-line fix. Not a pile of alerts. Not a severity score. It runs in your environment — your code never leaves.

scan your repo →see pricing ›

the pipeline

Seven phases, one continuous run.

  1. 01

    White-Box + SAST

    read the code before probing the service

    Seven SAST engines plus a whitebox LLM reviewer read the repo, emit hypotheses, and seed every later phase with ground truth.

    7 SAST engines · 1 reviewer

  2. 02

    Reconnaissance

    map the surface across 9 OSI layers

    Fifty-plus Kali tools, orchestrated as a single plan, map the attack surface from layer-3 up to application. Output feeds phase 4 so vuln agents probe only what exists.

    50+ kali tools · 9 osi layers

  3. 03

    Crypto Agility

    pqc + cbom inventory

    Emits a Cryptographic Bill of Materials and flags anything a CRQC would break. Quiet phase; mostly reads configs, certs, and library calls.

    cbom · pqc posture

  4. 04

    Vulnerability Analysis

    16 agents, concurrent, budgeted

    Sixteen specialist agents fan out on the surface from phase 2, each with a focused prompt and tool set. They run concurrently under a rate budget and emit hypothesis-level findings with evidence.

    16 agents · concurrent

  5. 05

    Exploitation

    prove impact with safe proofs

    Sixteen exploit agents confirm hypotheses with safe, evidence-only proofs-of-impact — boolean and time oracles, scoped payloads, redacted captures. Mediums get upgraded to confirmed; anything unprovable is dropped.

    16 exploit agents · evidence-only

  6. 06

    Chain Analysis

    individually medium. chained, critical.

    Chain-analyzer walks the confirmed-findings graph and proposes multi-step attack chains; cross-validator rejects any chain that fails an independent replay. This is where separate medium findings combine into one critical exploit.

    chain analysis · cross-validated

  7. 07

    Reporting

    html · json · md · cvss · compliance

    De-duplicates findings, attaches evidence, scores CVSS v3.1, and maps to OWASP, MITRE ATT&CK, PCI-DSS, SOC 2 CC-series. Emits the artifact set a human pentester would ship.

    html · sarif · md · compliance

integrations + compliance

Works where you already work. Maps to what you already report.

Works with

IDEs (via MCP)

  • Claude Code
  • Cursor
  • VS Code
  • Windsurf

CI/CD

  • GitHub Actions
  • Self-hosted runners

LLM providers

  • Anthropic Claude
  • OpenAI GPT
  • Private endpoints (Enterprise)

Notifications + fixes

  • Slack
  • Outlook
  • Teams
  • Jira
  • Confluence

Maps to

Findings auto-mapped to 14 compliance frameworks. Audit prep as a byproduct of every scan.

  • SOC 2
  • ISO 27001
  • HIPAA
  • PCI DSS
  • NIST CSF
  • NIST 800-53
  • GDPR
  • CCPA
  • FedRAMP
  • HITRUST
  • FFIEC
  • CIS
  • GLBA
  • CMMC

comparison

Without Sekura · With Sekura

What changes when you replace the scan-and-triage loop with continuous, proof-first autonomous pentesting.

 Without SekuraWith Sekura
OutputRanked list of potential issues; CVSS scores divorced from your environmentList of exploited issues, each with a deterministic proof-of-exploit
False positivesInherent — scanners flag what might be vulnerable, your team validates eachEliminated by construction — Sekura only reports findings it has actually exploited
ScopeSAST or DAST or SCA — one surface per tool, one tool per vendorSAST + DAST + exploit chaining + LLM-security + post-quantum crypto in one scan
CadenceOn-demand or scheduled — weekly at best, annually for manual pentestsContinuous — every push, every PR, optionally every hour
Triage burdenHours per finding to validate, prioritize, and fixZero — every finding ships with the payload that demonstrates it
Read the full comparison vs scanners →Read the full comparison vs manual pentests →

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.