Escape

What Escape does

Escape provides an AI-powered offensive security engineering platform that automates the full offensive security lifecycle. It replaces legacy scanners and manual offensive security processes with AI agents that discover, test, and remediate vulnerabilities directly within engineering workflows. The platform offers Attack Surface Management, Business-logic-aware DAST, and AI Pentesting to help security teams manage and secure modern applications, APIs, and infrastructure from code to cloud. Escape aims to multiply the impact of security engineers by providing continuous, automated security testing and remediation, integrating with existing developer tools and CI/CD pipelines.

Products

• Attack Surface ManagementDiscovers and validates exposure of modern applications, APIs, and infrastructure from code to cloud. It maps application layers, including REST APIs, GraphQL endpoints, SPAs, MCP, gRPC, and SOAP, and identifies shadow APIs. It integrates with risk platforms like Wiz for context and routes findings to asset owners.
• Business-logic-aware DASTReplaces legacy DAST with testing that improves over time and helps remediate real, exploitable vulnerabilities. It performs business logic testing, including workflows, access control, and multi-step processes, and is built for modern authentication methods like OAuth and SSO. It integrates into CI/CD pipelines and provides developer-friendly context for remediation.
• AI PentestingReplaces manual pentest and bug bounty programs with a scalable solution. It uses AI agents for multi-step attack chains, proves exploitability, and delivers actionable reports. It performs regression testing by converting previous findings into automated tests and supports continuous compliance validation for various frameworks.

Key capabilities

• AI-powered offensive security lifecycle automation
• Discovery of APIs, SPAs, and infrastructure (Attack Surface Management)
• Business-logic-aware DAST for complex vulnerabilities (e.g., BOLAs, IDORs, Access Control flaws)
• AI Pentesting with agentic attack reasoning and multi-step attack chains
• Proof of exploitability with screenshots, execution logs, and attack path validation
• AI-assisted remediation with code snippet generation tailored to frameworks (React, Django, Spring Boot)
• Native integrations with AI-assisted IDEs (Cursor, Claude Code, Gemini)
• Fully programmable platform with Public API, CLI, and MCP Server
• Event-based workflows for finding triage, routing, and escalation
• CI/CD integration for security gates on every push
• Continuous compliance validation and audit-ready reports (PCI-DSS, HIPAA, CRA, SOC 2, ISO 27001)
• Agentless API discovery
• Automated asset mapping to code owners and products
• Support for authenticated testing (OAuth, SAML, password, TLS, TOTP MFA)
• Enterprise-grade access control and user management
• Regression testing at scale from previous findings
• Cloud and on-prem hybrid deployments for internal applications

Use cases

• Discovering and validating exposure of modern applications, APIs, and infrastructure
• Replacing legacy DAST with business-logic-aware testing
• Replacing manual pentest and bug bounty programs with scalable AI solutions
• Finding and fixing complex web security issues
• Automating offensive security end-to-end
• Achieving continuous compliance validation for various frameworks
• Reducing application risk
• Securing GraphQL endpoints
• Testing workflows, access control, and multi-step processes
• Integrating security into the SDLC (Software Development Life Cycle)
• Scaling security efforts for outnumbered security teams
• Validating every release without becoming a bottleneck
• Improving time-to-remediation for vulnerabilities
• Mapping entire API attack surface, including shadow APIs
• Prioritizing vulnerabilities with context and proof of exploitability
• Onboarding new products and managing risk at scale

AI approach

Escape uses AI agents to automate offensive security, including discovering, testing, and remediating vulnerabilities. Their AI-powered DAST performs business-logic-aware testing, and their AI Pentesting solution learns the business context to prove exploitability and generate regression tests. AI is also used for remediation, generating code suggestions and integrating with AI-assisted IDEs.

Tech named: AI agents, AI-powered testing, agentic attack reasoning, AI-assisted IDEs

Industries served

• Computer and Network Security
• Healthcare

What it says sets it apart

• AI-powered offensive security platform
• Business-logic-aware DAST that tests workflows, access control, and multi-step processes
• AI Pentesting that learns the business and proves exploitability
• Agentic attack reasoning for complex multi-step attack chains
• AI-assisted remediation with tailored code suggestions and visual proof
• Continuous compliance validation for over 20 frameworks
• Focus on modern applications and APIs, including shadow APIs
• Integration with developer tools and CI/CD pipelines for shift-left security
• High detection increase (229%) and low false positive rate (<=4%) compared to legacy DAST
• Significant time savings for security engineers (12 hours/month)
• Proven ROI (393%) and reduction in time-to-remediation (80%)
• Ability to map attack surface to the application layer, not just DNS and ports
• Automated asset mapping to code owners and products for efficient routing of findings
• Built AI-native from day one

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.