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Product · Web App Pentesting

Web app penetration testing.
Confirmed findings, every deploy.

Automated web application penetration testing that authenticates like a user, observes like an engineer, and exploits like an attacker.

An LLM-driven login agent signs in, read-only reconnaissance runs noise-free first, testing adapts to what was observed, and every finding is confirmed by AI review of evidence captured from your target before it reaches your queue.

Start free See the pipeline

Findings confirmed on evidence LLM login · 5 stages

Engagement flow

Five stages. Zero guesswork.

Five stages run in order with escalation chains grafted on confirmed findings.

  1. LOGIN

    LLM-driven login

    A reasoning agent operates the real login UI — SPAs, OAuth, SAML, MFA. No selectors, no recorded scripts.

  2. RECON

    Read-only observation

    Pentrova observes traffic, DOM, headers, and responses first — no exploit payloads — so the first pass is noise-free reconnaissance.

  3. PLAN

    Adaptive planner

    Testing adapts to what was just observed instead of following a fixed checklist. Coverage grows along the real attack surface.

  4. VERIFY

    Live-target verification

    Every candidate finding is confirmed by AI review of evidence captured from your target before it ships. Only confirmed findings reach your queue.

  5. CHAIN

    Automatic escalation

    Escalation runs automatically inside your authorised scope, with no approval step: a confirmed SQL injection reads the database schema, a confirmed SSRF requests the target’s cloud metadata, a confirmed path traversal reads files.

Objections we hear

Direct answers to the three buyer questions we field most often for this surface. See the full FAQ below for the rest.

  • Common objection

    We already have a scanner — why add another tool?

    Most scanners score findings probabilistically, which is why AppSec queues grow faster than they shrink. Pentrova puts a finding in your queue only once AI review of the evidence captured from your target confirms it, so you are not adding a second queue — you are retiring the unconfirmed half of the first one. The product is engineered so backlog should shrink as Pentrova lands, not expand.

  • Common objection

    Aren't you too expensive compared to free open-source tools?

    Free scanners are excellent at what they do. Pentrova replaces the human hours teams spend triaging and reproducing probabilistic findings, not the scanners themselves. The pricing is set so a confirmed finding costs less than the engineering time a queue of unconfirmed alerts would consume.

  • Common objection

    DAST scanners are too noisy — what stops Pentrova from drowning us in alerts?

    Where a request is safe to repeat (GET and HEAD), our verifier replays the candidate finding from a clean session and compares the signal that flagged it — status code, response body hash, sensitive byte sequences, error patterns — against a clean baseline. That replay and the rest of the evidence captured from your target go to AI review, and only findings it confirms become tickets. Unconfirmed candidates never enter the queue.

Web App Pentesting questions

  • How does Pentrova authenticate into my application?
    An LLM-driven login agent operates the real authentication UI — SPAs, server-rendered apps, OAuth, SAML, and MFA are all handled through the same reasoning loop, with credential handling and data protection described on the Trust Center.
  • What runs during a Web App pentest?
    Five stages run in order: LLM-driven login, read-only reconnaissance, adaptive testing, live-target verification, and chain escalation on confirmed findings. The full pipeline is described on /product/platform.
  • What does the adaptive test planner do?
    Instead of running a fixed test list, Pentrova adapts what it tests next to what it just observed. Planning is auditable: every decision is logged so you can see why Pentrova chose each step.
  • How does Pentrova confirm findings?
    Every finding in your queue was confirmed by AI review of evidence captured from your target. Where a finding has a captured HTTP exchange, you can copy it as a cURL command and re-run it. Findings that are not confirmed never reach your queue. See /security for the verification protocol.
  • Does Web App Pentesting include DOM XSS taint tracking?
    Yes. DOM source-to-sink analysis runs as part of every Web App engagement — see /product/platform#dom-xss-taint. It does not run in API Pentesting because there is no DOM surface there.
  • Is Web App Pentesting safe to run against production?
    With care. Destructive payloads and methods are blocked by default, request rates are limited, and engagements can be scoped per target. The scan still sends real test traffic, and escalation of a confirmed finding runs automatically inside the authorised scope, so it can change data or trigger alerts. Run continuous pentests against staging, and take backups before testing production. Scan output can contain working credentials and personal data captured from your systems, so treat reports as sensitive.

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