Escape

Escape is an AI-powered offensive security platform for security and engineering teams that need continuous discovery, testing, validation, and remediation. It combines attack surface management, business-logic-aware DAST, and AI pentesting for modern applications and APIs.

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Overview

Escape is an AI-powered offensive security platform built to replace legacy scanners and manual pentesting workflows with continuous discovery, testing, validation, and remediation. The product family centers on attack surface management, business-logic-aware DAST, and AI pentesting for modern applications, APIs, SPAs, and infrastructure.

Across the site, Escape positions itself as a system for security teams that are outnumbered by engineering orgs. It emphasizes continuous coverage, authenticated and business-logic-aware testing, exploitability proof, remediation guidance tailored to source code, and automation that fits into CI/CD and developer workflows.

Core capabilities

Attack surface management

Discover and validate modern attack surface across applications, APIs, SPAs, and infrastructure from code to cloud, with findings flowing into systems such as Wiz for broader risk context.

Business-logic-aware DAST

Test workflows, access control, and multi-step logic rather than relying only on payload injection, with support for authenticated testing and modern auth patterns such as OAuth, SSO, SAML, TLS, and TOTP MFA.

AI pentesting

Run agentic pentesting that reasons through multi-step attack chains, proves exploitability with screenshots, execution logs, and attack-path validation, and can turn prior findings into regression tests.

AI-assisted remediation

Generate remediation guidance tailored to source code and engineering stacks, including visual proof of the exploit path, so developers can understand and fix issues more quickly.

Automation and workflow control

Automate security operations through a public API, CLI, and MCP Server, with event-based workflows and CI/CD-triggered scans that support programmable policy enforcement.

Common use cases

Attack surface discovery
Map exposed assets across modern application environments, including APIs and SPAs, and route findings with asset context to the teams that own them.
Release-time DAST
Validate business-critical workflows, access controls, and authenticated user journeys in release pipelines so teams can catch exploitable issues before shipping.
AI-assisted pentesting
Run deeper offensive assessments that look for complex attack chains and produce proof of exploitability for engineers and auditors.
Regression testing for findings
Turn prior pentest, bug bounty, or internal assessment findings into regression tests so the same issue can be checked on future builds.
Developer remediation support
Generate code-oriented remediation guidance and visual proof for developers working in their normal tools and review process.

Pros and Cons

Pros

Covers discovery, testing, validation, remediation, and compliance in one platform.
Focuses on business logic, access control, and authenticated testing instead of only payload-based checks.
Provides exploitability proof such as screenshots, execution logs, and attack-path context.
Supports automation through API, CLI, MCP Server, and CI/CD-triggered workflows.
Can convert prior pentest or bug bounty findings into regression tests.

Cons

The public materials do not include pricing or plan details.
Several pages are marketing-forward and only partially document setup, limits, and implementation requirements.

FAQ

What does Escape do?

Escape offers AI-powered offensive security for teams that need continuous discovery, testing, and remediation rather than one-off scans. The source materials emphasize DAST, attack surface management, and AI pentesting as the main product areas.

How does Escape fit into engineering workflows?

The source describes Escape as fitting into modern frameworks, cloud environments, security tools, and developer tools. It also references API, CLI, and MCP Server support for automation, plus native integrations with AI-assisted IDEs for remediation.

Who is Escape for?

Escape’s published materials position the platform for discovering assets, testing business logic and exploitability, and generating remediation guidance. It is described as useful for security and engineering teams working on modern applications, APIs, and distributed environments.

Is pricing public?

The collected pages do not include public pricing details. The pricing URL returns a not found page, and the source instead points users to book a demo.

Does Escape support continuous testing?

The source highlights continuous offensive security workflows rather than a one-time assessment. It mentions continuous discovery, testing, regression testing, and automated remediation steps across the platform.

Quick Facts

Category: Offensive security platform
Primary products: Attack Surface Management, Business-logic-aware DAST, AI Pentesting
Primary users: Security teams, AppSec teams, and engineering teams
Source domain: escape.tech
Pricing: Not publicly listed in the collected sources
Workflow: Continuous discovery, testing, validation, remediation