AI Penetration Testing That Thinks Like an Attacker, Not a Scanner

Behavioral Reconnaissance

Penetrify maps your application's attack surface — authenticated endpoints, business flows, API schemas, and inter-service dependencies. It builds a behavioral model, not just an endpoint list.

Adaptive Attack Simulation

AI generates context-aware attacks tailored to your specific stack, defenses, and observed behavior. When a payload is blocked, it adapts. When an anomaly surfaces, it follows the thread.

Exploit Chain Discovery

Penetrify chains individual findings into realistic attack paths — discovering how a medium-severity information disclosure enables a critical privilege escalation that reaches your production data.

Proof-Based Validation

Every finding is validated through actual exploitation. Penetrify provides proof-of-concept for each vulnerability, reducing false positives to under 10%.

Broken Access Control

Multi-role session testing across every endpoint — IDOR, privilege escalation, CORS misconfiguration.

Cryptographic Failures

TLS configuration, data-in-transit exposure, client-side secret detection.

Injection

Context-aware SQL, NoSQL, OS, LDAP, SSTI payloads adapted to your stack.

Insecure Design

Business logic flaw detection through behavioral workflow analysis.

Security Misconfiguration

Framework settings, server headers, cloud storage permissions, default credentials.

Vulnerable Components

Dependency CVE matching plus exploitability validation in your context.

Auth Failures

Credential stuffing, session fixation, JWT flaws, MFA bypass testing.

Integrity Failures

Deserialization attacks, CI/CD pipeline integrity, supply chain validation.

Logging Failures

Security event logging gaps, audit trail completeness validation.

SSRF

Server-side request forgery with internal network discovery and exploitation.