About
Traceable AI is a comprehensive Application and API Security platform built for enterprise-scale environments. It addresses the full security lifecycle — from discovery and posture management to active protection and forensic threat hunting — across every application and API in your ecosystem. The platform's core pillars include Application & API Posture Management, which provides continuous discovery and risk insights for APIs and MCP tools, helping teams understand their attack surface in real time. Application & API Security Testing integrates directly into the SDLC, using real and replayed traffic to identify vulnerabilities with high accuracy and minimal false positives. Application & API Protection delivers real-time defense against OWASP Top 10 threats, bots, DDoS attacks, and sensitive data disclosure. Traceable also addresses the growing challenge of securing Generative AI APIs. With Gartner projecting that 80% of organizations will use GenAI APIs by 2026, Traceable offers specialized protection for LLM-powered applications against emerging attack vectors. Key capabilities include an API Security Data Lake for deep analytics and contextual threat intelligence, contextual API security testing tied to active traffic, and seamless integration into DevSecOps workflows. The platform is designed for finance, healthcare, government, high-tech, and retail sectors, providing the visibility and control needed to operate with confidence at speed. Traceable is ideal for security engineers, AppSec teams, and enterprise architects looking to embed API security at every stage of the development and deployment pipeline.
Key Features
- Application & API Posture Management: Continuously discovers all APIs and MCP tools, assessing risk posture and surfacing security gaps across modern AI-enabled applications.
- Application & API Security Testing: Integrates security testing into the SDLC using real and replayed API traffic to identify and remediate vulnerabilities from code to runtime with low false positives.
- Real-Time Application & API Protection: Defends against OWASP Top 10, bots, DDoS, and sensitive data disclosure across all environments with real-time threat detection and blocking.
- Generative AI API Security: Provides specialized protection for LLM-powered applications and GenAI APIs against novel attack vectors and data exfiltration risks.
- API Security Data Lake & Threat Hunting: Aggregates and correlates all API activity over time into a security data lake, enabling advanced analytics and proactive threat hunting across the entire API ecosystem.
Use Cases
- Securing all public and internal APIs against OWASP Top 10 vulnerabilities and zero-day exploits in large enterprise environments.
- Embedding API security testing into CI/CD pipelines to shift security left and reduce vulnerabilities before they reach production.
- Protecting LLM-powered applications and Generative AI APIs from data exfiltration and novel AI-specific attack vectors.
- Conducting proactive API threat hunting using the API Security Data Lake to detect anomalous behavior and investigate incidents.
- Achieving continuous API discovery and compliance posture management across complex, multi-cloud API ecosystems in regulated industries like finance and healthcare.
Pros
- Comprehensive API Visibility: Automatically discovers and inventories all APIs — including shadow and zombie APIs — giving security teams a complete picture of the attack surface.
- SDLC-Integrated Security Testing: Shifts API security left by embedding testing directly into development pipelines using real traffic, dramatically improving accuracy and developer adoption.
- GenAI-Ready Protection: One of the few platforms purpose-built to secure generative AI and LLM APIs, addressing risks that legacy tools are not equipped to handle.
- Enterprise-Grade Scalability: Designed to operate at infinite scale, making it suitable for large organizations with complex, distributed API ecosystems across multiple environments.
Cons
- Enterprise-Focused Pricing: The platform is geared toward large enterprises and requires a demo/sales engagement to access pricing, making it less accessible for small teams or startups.
- Implementation Complexity: Full deployment across a large API ecosystem requires significant configuration and integration effort, which may demand dedicated security engineering resources.
- No Self-Serve Trial: Prospective users cannot try the platform independently — access is gated behind a sales demo request, which can slow down evaluation cycles.
Frequently Asked Questions
Traceable AI is an enterprise application and API security platform that discovers all APIs, evaluates their risk posture, tests them for vulnerabilities throughout the SDLC, and protects them in real time against attacks including OWASP Top 10, bots, and DDoS — while also supporting threat hunting via an API Security Data Lake.
Yes. Traceable offers specialized capabilities for securing GenAI APIs and LLM-powered applications, addressing emerging attack vectors that traditional API security tools are not designed to handle. This is increasingly important as Gartner predicts 80% of organizations will use GenAI APIs by 2026.
Traceable integrates security testing directly into your SDLC pipeline by using real and replayed API traffic to generate test cases focused only on active APIs. This approach reduces false positives and ensures security is embedded from development through to runtime.
Traceable serves a broad range of industries including Finance and Banking, Healthcare, Government and Public Sector, High Tech, and Retail and eCommerce — all of which have stringent API security and compliance requirements.
Traceable is an enterprise product with pricing available upon request. Interested organizations must request a demo through the website to discuss their specific needs and receive a tailored quote.
