42Crunch, Escape, Pynt and Traceable AI

About Escape

Escape sells an offensive security platform that uses AI agents to discover, test and remediate vulnerabilities in engineering workflows. Escape says the platform replaces legacy scanners and manual offensive security processes.

Escape says it rebuilds offensive and application security from the ground up, covering business logic testing, agentic pentesting and code-to-cloud correlation. Escape states that all of this is always developed in-house.

Escape's AI Pentesting is continuous AI-powered pentesting that learns the customer's business, proves exploitability, and delivers reports that auditors and engineers can act on. White-box pentesting is available, so Escape's AI Pentesting can run with the customer's source code. Escape also converts previous AI pentesting findings into automated regression tests that run on every build with DAST.^[5]

Escape's DAST is described as in-house and AI-powered, and it secures applications at the business logic level. Escape's testing covers workflows, access control and multi-step processes, not just payloads.

Escape's external network pentesting is continuous testing of everything reachable from the internet. Every host, port and exposed service is probed the way an attacker would, with proof of what is exploitable, followed by a retest. Escape's attack surface management discovers and validates exposure of modern applications, APIs and infrastructure from code to cloud. Escape discovers APIs and SPAs, not just DNS and ports, both internal and external.

Escape's documentation says its platform section applies across all Escape products: ASM, DAST and AI Pentesting. Customers can deploy a Private Location in their own network to discover and test internal applications. Private Locations enable scanning of applications that are not accessible from the public internet.^[10]

On integrations, Escape sends assets directly to Wiz. Escape offers a public API, a CLI and an MCP Server, and says security gates run in CI/CD when scans are triggered on every push. Escape also has native integrations with AI-assisted IDEs such as Cursor, Claude Code and Gemini for remediation.

For compliance, Escape says PCI-DSS, HIPAA, CRA, SOC 2, ISO 27001 and 20+ other frameworks are natively supported. Escape maintains SOC 2 Type II certification. Escape uses proprietary AI models on AWS infrastructure, Microsoft Azure LLM Deployments and Cloudflare Workers AI Models.^{[2][5][6][7][13]}

About Pynt

Pynt sells a platform that discovers and secures APIs, LLMs and MCPs in one single solution. Pynt can detect any external or internal API.^[1][2][3]

Pynt supports multiple sources to build a comprehensive API catalog and reveal shadow APIs and hidden spots. Those sources include testing tools like Postman and Selenium, Browser and Burp logs, and live traffic such as eBPF or ALB mirroring. Pynt discovers and classifies all APIs, including shadow and undocumented APIs, across cloud environments.^[2][3]

Pynt builds a complete inventory by learning directly from API behavior, and it performs security tests on every endpoint. Pynt is plugged in once and works across cloud, on-prem, or hybrid deployments.^[4]

For testing, Pynt builds security tests from existing functional tests. Pynt enables automated API pen-tests on every build and is built for CI/CD pipelines. Pynt analyzes Burp XML and HAR browser recordings for contextual analysis before attack generation. Pynt supports Postman, Selenium, and other frameworks natively. Pynt learns the app context, including the API structure, sessions and parameters nature. Pynt uses AI to generate synthetic traffic that enables contextual attacks. Pynt shows the full request-response chain. Pynt detects actual exposures through real API flow, covering leaks of PII, tokens, and secrets.^[1][5][6][7]

On authorization flaws, Pynt automates BOLA detection by analyzing real API traffic and identifying endpoints that require ownership checks. Pynt integrates into CI/CD pipelines and API testing frameworks to catch data leaks early. Pynt detects sensitive data including PII, credentials, API keys, and more.^[8][9]

Pynt discovers all LLM assets in use and builds an inventory of them. Pynt offers an agent-based MCP Firewall enabling full disable or control. Pynt maps how user prompts trigger downstream tool, plugin and API calls. Pynt scores individual components and entire chains for risk, offers visual graph representations of chain flows and enables runtime disablement of any chain link. Pynt auto-discovers MCPs and plugins in the environment.^[7][10]

Pynt provides exportable, standard-format reports for external use. Pynt promotes collaboration between R&D and security teams. Pynt offers runtime control over tool and plugin execution, with full audit trails and risk scoring.^{[1][2][5][6][7][8][10]}

About Traceable AI

Traceable offers continuous discovery and posture insights for APIs and MCP tools to identify and manage security risks across modern AI applications. Traceable identifies and remediates vulnerabilities from code to runtime by integrating security testing for APIs and AI apps in the SDLC. Traceable's Application and API Protection delivers real-time defense against API vulnerabilities, bots and DDoS attacks. Traceable provides protection for applications and APIs from fraudulent or malicious activities and prevents sensitive data disclosure.^[1][3]

Traceable automatically and continuously discovers and builds an inventory of every API in an organization, including internal, private, public or externally exposed, rogue, shadow, partner, and 3rd party APIs. Traceable continuously discovers and tracks changes to APIs via on-premise, cloud, in-code components, integrations with API management, network traffic endpoints, and workloads via eBPF. Traceable catalogs APIs touching applications, including north-south (external-facing), east-west (internal-facing) and 3rd party APIs. Traceable classifies sensitive data types and shows which APIs are exposed to sensitive data. Traceable lets users create data protection policies to block data access and prevent data exfiltration.^[5]

Traceable tests in real-time based on live traffic and can generate and run tests on old traffic. Traceable never generates tests for APIs that are inactive for a long time or never called. Traceable produces a downloadable report of vulnerabilities found while testing the APIs. Test information provided to development and security teams includes CVSS/CWE scores for overall risk assessment and recommendations for remediation. Traceable's testing integrates with CI/CD tooling so issues can be found and fixed in pre-production.^[5][6]

Traceable automatically detects and blocks known and unknown attacks, business logic abuse attacks, DDoS, abusive bot activity and sensitive data exfiltration in production environments. Traceable detects and blocks common application and API attacks, advanced business logic attacks, low and slow attacks and zero-day threats. Traceable monitors and records every API transaction via the OmniTrace engine. Traceable lets users identify, assess and mitigate application and API security threats, reveal unknown attacks and visualize user behavior analytics to uncover fraud and abuse. Traceable provides application and API security and data flow analytics for SOC teams, incident responders and threat hunters.^[5]

Traceable offers Zero Trust API Access (ZTAA), which reduces attack surface by minimizing or eliminating implied and persistent trust for APIs. Traceable was architected as an end-to-end API security solution that focuses on capturing, analyzing, testing and securing the data within APIs. Traceable offers a range of deployment options for discovering and securing APIs across a digital enterprise.

Traceable was founded by Jyoti Bansal and Sanjay Nagaraj. Bansal and Nagaraj saw the adoption of cloud-native architectures and the APIs that connected them during their time at AppDynamics. In February 2025, Traceable announced a merger with Harness, the AI-native software delivery platform. Traceable states that its mission is to protect every API, to help ensure the security of the services and data that power modern applications.

Traceable states that financial services and fintech organizations are subject to compliance mandates including PCI-DSS, FFIEC, GDPR, CCPA and CPRA. Traceable states that federal agencies face challenges in aligning API security to strategic plans, executive orders and mandates. NextRoll made adoption of an API security platform a priority. A neobank made adoption of an API security platform a priority.^{[1][2][3][5][6][9][10]}