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AI Pentesting

Escape AI Pentesting leverages advanced AI agents to autonomously discover, analyze, and exploit security vulnerabilities in your applications. By combining large language models with Escape's proven DAST infrastructure, AI Pentesting provides intelligent, adaptive security testing that goes beyond traditional rule-based scanners.

AI Pentesting agents understand application context, reason about attack vectors, and adapt their testing strategies in real-time based on application responses. This enables discovery of complex, multi-step vulnerabilities that require understanding of business logic, application state, and attack chains.

Positioning: AI Pentesting vs DAST vs ASM

When to Use AI Pentesting

AI Pentesting is ideal when you need:

  • Deep, adaptive testing: Agents that reason about application behavior and adapt their approach
  • Complex vulnerability discovery: Multi-step attacks, business logic flaws, and authorization issues
  • Autonomous exploration: Agents that can navigate complex workflows and understand context
  • Comprehensive coverage: Testing that goes beyond signature-based checks

When to Use DAST

DAST is better suited for:

  • Systematic, repeatable testing: Rule-based security tests with predictable coverage
  • CI/CD integration: Fast, automated security testing in development pipelines
  • Comprehensive vulnerability scanning: Broad coverage of known vulnerability patterns
  • Custom rule enforcement: Organization-specific security policies and governance

When to Use ASM

ASM focuses on:

  • Attack surface discovery: Finding all exposed assets and endpoints
  • Asset inventory: Maintaining a comprehensive view of your attack surface
  • Continuous monitoring: Tracking changes to your external exposure

Target Users

AI Pentesting is designed for:

  • Security Engineers: Who need deep, intelligent vulnerability discovery
  • Penetration Testers: Who want AI assistance for complex testing scenarios
  • Security Teams: Who need comprehensive testing beyond traditional scanners
  • DevSecOps Teams: Who want autonomous security testing integrated into workflows

Key Capabilities

Intelligent Agent-Based Testing

AI agents autonomously explore your application, understand its structure, and adapt their testing approach based on discovered patterns and behaviors.

Context-Aware Vulnerability Discovery

Agents understand application context, business logic, and relationships between endpoints, enabling discovery of vulnerabilities that span multiple interactions.

Adaptive Attack Strategies

Agents reason about attack vectors, adapt their strategies based on application responses, and explore complex attack chains that traditional scanners cannot.

Multi-Step Vulnerability Exploitation

Agents can chain multiple requests together, maintain application state, and exploit vulnerabilities that require understanding of application workflows.

Getting Started

Ready to start using AI Pentesting? Check out the Quickstart Guide to get up and running in minutes.

Documentation

Index

  •    Quickstart

  •    How It Works

  •    BOLA Agent

  •    XSS Agent

  •    Regression Testing Agent

  •    CVE Exploitation Agent

  •    Whitebox Agent

  •    SQLI Agent

  •    Business Logic Agent