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AI penetration testing platform

Proof, not probabilities.

We don’t flag vulnerabilities. We exploit them. Every Pentrova finding ships with a deterministic proof-of-concept artifact you can replay in staging before the engineering queue ever sees it.

No credit card required Every report compliance-mapped

app.pentrova.ai/scansLive
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Configure a Web App or API pentest from one place

AllWeb AppAPI
https://app.example.comStart Scan
Pentrova runs Web App and API pentests with authenticated crawl, attack chains, and replay verification.

Active and Recent Scans

Monitor every pentest across your assets

+ New Scan
All Scans14Running2Completed11Failed1CI/CD4

app.example.com

https://app.example.com

Running
76%

~6 min remaining

3 Critical
7 High

api.example.com

CI/CD

OpenAPI 3.1 · 142 endpoints

Completed
100%

Complete · 12m 34s

1 Critical
4 High

staging.example.com

https://staging.example.com

Completed
100%

Complete · 12m 34s

2 High

Findings flow into

  • Slack
  • Microsoft Teams
  • Discord
  • Email
  • Custom Webhook
  • GitHub Actions
  • GitLab CI
  • Jenkins
  • CircleCI
  • Azure Pipelines
  • Bitbucket

Platform

Two pentest modes. One verified outcome.

Web App Pentesting and API Pentesting are how you point Pentrova at a target. The capabilities below run inside every engagement, regardless of mode or pricing tier.

Inside every pentest

Four capabilities run in every engagement, regardless of mode or pricing tier.

Every capability above runs in every Pentrova engagement. See the full pipeline or jump straight to pricing — pricing scales on portfolio scope, not pipeline features.

Engagement flow

From surface to signed-off evidence. Three phases.

Every Pentrova engagement runs the same pipeline. You bring the target; we bring the proof.

  1. Surface · Schema · Session

    01 Ingest

    Point us at the surface.

    Upload an OpenAPI or Postman collection, paste a starting URL, or hand us a session cookie or bearer token. LLM-driven login handles the rest.

  2. Agent library · Chain catalog · Zero prod

    02 Exploit

    Chains run in our sandbox.

    Pentrova chains findings into business-impact paths. Every chain replays inside our sandbox — no customer traffic, no guessing.

  3. Artifact · Replay · Redact

    03 Evidence

    You get a replayable artifact.

    Each finding ships as a deterministic PoC with the command, the response, and a redaction pass. Auditor-ready, engineer-reproducible.

Beyond the OWASP Top 10

The vulnerabilities scanners were never built to find.

Pentrova goes deeper than injection and XSS. It tests the logic your application was built on — the kind of flaws that only senior pentesters catch.

  • Access control

    Cross-tenant isolation

    Tests whether User A can access User B’s data in multi-tenant SaaS environments — broken access control at the deepest level.

    How Pentrova proves it
  • Business logic

    Race conditions & workflow bypass

    Concurrency attacks, price manipulation, step-skipping — the flaws that live in your business rules, not your code syntax.

    How Pentrova proves it
  • AI security

    LLM & prompt injection

    If your application uses AI, Pentrova tests it for prompt injection, jailbreaks, and data exfiltration from language model endpoints.

    How Pentrova proves it
  • API security

    GraphQL & OpenAPI deep scan

    Native GraphQL introspection, mutation testing, and OpenAPI schema parsing to discover shadow endpoints that documentation missed.

    How Pentrova proves it
  • Modern auth

    MFA, SAML & SSO bypass

    Tests OTP brute-forcing, SAML signature wrapping, SSO relay attacks, and WebAuthn implementation flaws in enterprise auth stacks.

    How Pentrova proves it
  • Client-side

    WebSocket & PostMessage

    Modern browser vectors including prototype pollution, DOM clobbering, service worker hijacking, and real-time WebSocket injection.

    How Pentrova proves it

CI/CD Integration

Break the build before it breaks production.

One POST /api/ci/scan call runs a full VAPT scan against your staging URL and returns a pass/fail quality gate. Drop it into any pipeline — GitHub Actions, GitLab, Jenkins, CircleCI, Azure, Bitbucket.

  • Per-severity quality gate — set fail_on thresholds for critical, high, medium, and low. The build fails the moment confirmed findings exceed your limits.
  • SARIF 2.1.0 & JUnit exports — findings surface natively in the GitHub Security tab, plus JUnit XML for GitLab and Jenkins test reports.
  • Sync or async — block the pipeline until the scan completes (wait: true), or fire-and-forget and receive an HMAC-signed webhook callback.
  • Authenticated & scoped — scan behind login, restrict the run to a defined scope, and authorize each scan with a tenant-isolated, permission-scoped API key.

Example CI run: Pentrova receives a POST to /api/ci/scan with a quality gate of fail_on critical 0. The security scan runs against staging, replay-confirms one critical finding, and because that exceeds the threshold the quality gate fails and the deploy to production is blocked. The run exports SARIF 2.1.0 for the GitHub Security tab and JUnit XML for Jenkins and GitLab.

Attack surface

Every layer. Every vector. Every edge case.

From classic injection to modern browser exploits, Pentrova covers the full spectrum of application security — continuously and autonomously.

  • Injection SQL, NoSQL, command & template
  • Cross-site scripting Reflected, stored & DOM-based
  • Authentication Tokens, sessions & federation
  • Server-side SSRF, XXE & out-of-band
  • Access control Authorization & tenant isolation
  • Infrastructure Transport, headers & policy
  • Business logic Workflow, race & abuse
  • Evidence Reproducible request/response proof

Method

How Pentrova works.

Six engineering decisions shape every Pentrova engagement — what we verify, what the sandbox holds back, what leaves your environment, what your audit team gets. Every one is independently verifiable in your first run.

  • 01 Verification

    Verified against the live target

    Every published finding is verified against the live target before it reaches you, and Critical and High findings are reproduced inside a sealed sandbox with a captured request/response and a reproducible command. Findings that cannot be substantiated never enter your queue.

    Verify: Re-run any finding from the evidence bundle in staging.
  • 02 Sandbox

    Sandbox-first by default

    Destructive actions are held back in favour of read-only equivalents, engagements can be scoped per target, and conservative runs are recommended against production.

    Verify: Scope a target and review what the run is allowed to touch.
  • 03 Data

    Customer data, redacted at the boundary

    Our sandbox redacts customer data before any artifact leaves the pentest host. Pentest content is never used to train models, never sold, never shared beyond the named subprocessors.

    Verify: Diff a raw vs. shipped artifact in the Trust Center.
  • 04 Evidence

    Replayable evidence, not vendor lock-in

    Every finding ships with a self-contained evidence bundle that replays without our control plane, so the artifact stays valid in your audit pack regardless of vendor.

    Verify: Open a sample bundle offline; it replays without us.
  • 05 Compliance

    Compliance posture, in writing

    Every Pentrova engagement ships a compliance-mapped report — every finding tagged to the relevant PCI DSS 4.0, ISO 27001:2022, HIPAA Security Rule, and GDPR controls. Pentrova’s own ISO 27001 program is in build; we publish the audit timeline in the Trust Center as soon as the registrar engagement is signed.

    Verify: Read a sample report mapped to your framework.
  • 06 Scope

    Scope enforced in the order form

    Targets, retest window, retention, and integration scopes are committed in writing before the first pentest. No surprise data egress, no quota games, no hidden invoices.

    Verify: Compare the order form to the runtime scope file.

Next step

Ship secure. Stay compliant.

Replace quarterly pentests with continuous, AI-driven security assurance — from business logic to GraphQL, from CI/CD gates to compliance-mapped evidence.

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