VAPT AI Engine

The VAPT AI Engine is TigerGate's agentic penetration-testing engine. It runs autonomous reconnaissance and exploitation workflows against your live attack surface, choosing follow-up actions based on each target's responses — the same class of offensive AI tool that attackers now run against you (ARTEX and its peers), operated under consent. It produces reproducible, attack-path-linked findings on a daily cadence rather than once a year.

Template scanners (Nuclei, OWASP ZAP, Burp Scanner) check for known-class issues by pattern-matching. They are fast, broad, and essential — but they do not chain findings, pivot on responses, or reason about business context. The VAPT AI Engine is agentic: it picks the next action based on what it observed, strings small findings into multi-step attack paths, and tests the exact class of exploitation that ARTEX-grade attackers execute. The engine runs on top of DAST, not instead of it.

A human pentest is deeper on business logic and adversarial creativity; the VAPT AI Engine is faster, broader, and runs every day. They are stackable. The right program is: continuous agentic VAPT daily, a scoped human pentest every 6–12 months on the paths the agents could not finish, and bug bounty for the long tail.

Yes, by default. Payloads are non-destructive, rate-limited, and bound to pre-approved CIDRs. The engine refuses to probe out-of-scope assets and will not touch customer-data stores by policy. You can tighten the scope further (staging only, specific hours, specific apps) from the dashboard and audit every request the engine makes.

SOC 2 (CC7.1 vulnerability lifecycle), ISO 27001 (A.8.8, A.5.37), PCI DSS 11.3 (penetration testing), CERT-In VAPT reporting, and the continuous-testing language in FedRAMP Rev 5. Each run produces a signed artefact retained for your audit cycle. Most auditors now accept continuous VAPT output as compensating evidence alongside a scoped annual human test.

The VAPT AI Engine pulls its test surface from TigerGate's Attack Surface Management inventory — every internet-exposed host, API, subdomain, and SaaS app discovered against your organisation. New assets appearing in the inventory are tested within 24 hours. You can also supply an explicit scope file for tightly bounded runs.

Deduplicated and prioritised tickets in your existing system (Jira, Linear, GitHub Issues, or the TigerGate dashboard), each with a reproducible payload, the affected endpoint, the suggested fix, and a one-click re-test. No quarterly PDFs. Findings are linked into attack paths so you can see which small issue is actually part of a dangerous chain and which is a dead end.