Traceable

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About
Traceable provides a comprehensive security platform designed specifically for the complexities of modern application and API environments. By capturing and correlating all activity across an organization's ecosystem, the tool offers deep visibility into API behaviors and data flows. It operates as an end-to-end solution that spans the software development lifecycle, moving from discovery and risk assessment in development to active threat mitigation in production environments. The platform's ability to handle the challenges of the AI era makes it particularly relevant for companies integrating Large Language Models (LLMs), as it addresses specific vulnerabilities unique to generative AI integrations, such as prompt injection and data leakage. The system works by establishing a baseline of normal behavior and identifying deviations that indicate security risks or malicious intent. Its posture management component continuously catalogs APIs—including hidden or "shadow" APIs—and assesses them for compliance and sensitive data exposure. For security testing, Traceable uses real and replayed traffic to simulate attacks, which helps developers remediate vulnerabilities before they reach production. This "Shift Left" approach ensures that security is a core part of the development process rather than an afterthought. During runtime, the protection engine blocks sophisticated attacks such as account takeovers, bot-driven fraud, and distributed denial-of-service (DDoS) attempts, while also preventing unauthorized sensitive data exfiltration through granular monitoring of data egress. This platform is ideally suited for DevSecOps teams, Chief Information Security Officers (CISOs), and application developers within large-scale enterprises or highly regulated industries like fintech and healthcare. It is particularly effective for organizations that rely heavily on microservices architecture and those rapidly deploying generative AI features across their product lines. Leading companies like Informatica and Axos Bank use the platform to gain unprecedented visibility into their digital infrastructure, often discovering thousands of unprotected APIs that were previously unknown to their security teams. What distinguishes Traceable from traditional Web Application Firewalls (WAFs) or basic API gateways is its deep contextual awareness. Rather than relying on static, signature-based rules that often fail to catch logic-based attacks, Traceable leverages machine learning to understand the business logic of the application itself. This allows it to distinguish between legitimate user behavior and malicious activity with high precision. The result is a significant reduction in false positives and a more streamlined workflow for security operations centers, which can prioritize actual threats based on risk-scoring data.
Pros & Cons
Provides 100% visibility into API ecosystems to eliminate shadow API risks.
Reduces engineering hours by automatically identifying and blocking potential threats.
Supports specialized security for LLM-powered generative AI applications.
Offers context-aware protection that significantly reduces false positive alerts.
Pricing is not transparent and requires a custom demo request.
Comprehensive setup may require deep integration across the entire application stack.
Use Cases
DevSecOps teams can automate the discovery of shadow APIs and integrate vulnerability testing directly into their CI/CD pipelines.
Security engineers can protect financial applications from account takeovers and sophisticated bot attacks in real-time.
Software architects at large enterprises can ensure data privacy compliance by monitoring and preventing unauthorized sensitive data exfiltration.
Platform
Task
Features
• application & api posture management
• ddos attack protection
• sensitive data exfiltration prevention
• bot mitigation
• generative ai api security
• application & api protection
• application & api security testing
• continuous api discovery
FAQs
How does Traceable help with API discovery?
The platform automatically identifies and catalogs all APIs within your ecosystem, including shadow and zombie APIs. It provides continuous visibility into their posture, usage, and the sensitive data they handle.
Can Traceable secure generative AI and LLM-powered applications?
Yes, the platform is designed to discover and protect Generative AI APIs against unique security challenges. It helps organizations manage the risks associated with LLM integrations as they scale.
How does the tool reduce false positives in security testing?
Traceable uses real and replayed traffic to build its tests, focusing only on active APIs. This contextual approach increases accuracy and ensures that security teams focus on genuine vulnerabilities.
Does Traceable integrate with the existing SDLC?
The platform supports Shift Left security by integrating testing from the code stage through to runtime. This allows developers to identify and remediate vulnerabilities early in the development cycle.
What kind of threats does Traceable block in real-time?
Traceable's protection engine defends against the OWASP Top 10, API-specific vulnerabilities, bot attacks, and DDoS attempts. It also monitors for and prevents the exfiltration of sensitive data.
Pricing Plans
Enterprise
Unknown Price• Application & API Posture Management
• Continuous API Discovery
• API Security Testing
• Generative AI API Protection
• OWASP Top 10 Defense
• Bot and DDoS Mitigation
• Sensitive Data Exfiltration Prevention
• Shift Left Security Integrations
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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