Pynt vs Traceable AI

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]}