Skip to content

Agentless Surface Scanning at Scale and Modern Security Testing in CI/CD

Escape Business Logic Aware DAST (Dynamic Application Security Testing) is a feature that automatically tests APIs and Web Applications (including SPAs) for security weaknesses. By using Escape ASM’s detailed output (including automatically generated API Schemas from code or frontend assets), the Escape Business Logic Aware DAST engine works with the knowledge it needs to run meaningful business logic security tests. It can run at scale directly on all exposed APIs and Web Apps discovered by the ASM or as a configurable Modern Business Logic Aware DAST right in the CI/CD pipeline during the development phase.

This Code-to-Cloud integration means teams can test both production and development environments, internal and external assets, without manual traffic capture. By using advanced reinforcement learning to simulate real-world usage, Escape uncovers hidden vulnerabilities that other scanners miss. As a result, security teams find complex business logic issues early and often, reducing risk and improving application integrity.

dast-schema.png

By combining structured input (API Schemas) with intelligent test generation, Escape Business Logic Aware DAST provides a clear, practical way to discover and address critical vulnerabilities before they can be exploited.

Key Features

Agentless and Traffic-less Security Testing

Escape Business Logic Aware DAST uses the API Schemas from the ASM to understand how each endpoint should behave. This allows it to send well-formed requests and explore the application logically. Escape Business Logic Aware DAST does not rely on agents installed in the environment or captured network traffic. It tests the application as an outside user would, making setup easier and results more reliable.

Modern Business Logic Aware DAST to Find Complex Business Logic Vulnerabilities in CI/CD

Escape Business Logic Aware DAST can find issues that involve how the application handles its data and processes, not just standard injection attacks. It can detect problems like flawed tenant isolation, where one user might gain access to another user’s data. All of this can be done directly from the development stage, in CI/CD.

Custom Security Rules

Default security tests are extensive and cover many vulnerabilities. However, for customers with specific use cases, Escape allows the creation of custom rules. These enable teams to build their own governance and apply it at scale, using a simple yet powerful language thanks to Escape's inference engine.

Sensitive Data Detection

During testing, Escape Business Logic Aware DAST identifies places where sensitive information might leak. This includes personal data (PII), secrets, or tokens that should remain private. The system uses both static and dynamic analysis to reduce false positives and highlight genuine risks.

Contextualized Results (Including Code Owners)

Escape Business Logic Aware DAST links every detected vulnerability back to the information gathered by Escape ASM. Each finding includes details like:

  • Code owners
  • Environment (production, staging, etc.)
  • Exposure status
  • Technology in use

This extra context makes it much easier to prioritize issues requiring urgent attention.

Prioritization and Remediation

By knowing who owns the code and where the vulnerable component sits in the application stack, teams can quickly assign fixes to the right people. This reduces the time between detection and remediation.

Internal Assets

Escape supports the deployment of a Private Location to detect, fingerprint, and test internal application assets behind firewalls or VPNs using a reverse tunnel.

How it works

Escape Business Logic Aware DAST’s approach is grounded in advanced machine learning and reinforcement learning. It converts the API definitions into a neutral model called a MetaGraph. Using this model, it guides test cases to explore the application’s logic in realistic ways. This approach improves test coverage and uncovers issues that static or traffic-based tools might miss.

For more details, check out this article on our Business Logic Security Testing algorithm: Escape Proprietary Algorithm

  • AI Pentesting: AI-powered security testing capabilities for complex vulnerability discovery

Index

  •    Start a new Scan

  •    Understanding Results

  Multi-User Testing

  WebApp Testing

  •    Technology

  •    Routing Patterns

  •    Scope Configuration

  •    Session Management

  •    Performance Tuning

  •    Production-Safe Scanning

  •    Agentic Crawling

  •    Reference (WebApp)

  •    Custom Rules 6

  API Testing

  •    Analyze Coverage

  •    Rate Limiting

  •    Scope

  •    Custom Payloads

  •    Hotstart

  •    Data Types Reference

  •    GraphQL

  •    Reference (REST API)

  •    Reference (GraphQL API)

  •    Custom Rules 8