Traceable AI
Software supply chain security solutions
API security tools
Dynamic application security testing (DAST) software
Web application firewalls (WAF)
Bot detection and mitigation software
Cloud security software
DevSecOps software
Web security software
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What is Traceable AI
Traceable AI is an API security platform that discovers APIs and monitors runtime API traffic to identify vulnerabilities, misconfigurations, and abuse. It is used by security and engineering teams to inventory APIs, detect anomalous behavior, and support incident response across cloud and hybrid environments. The product emphasizes runtime observability (including distributed tracing-style context) to correlate API calls with services, users, and data flows, and it integrates with common CI/CD and security workflows.
Strong runtime API visibility
The platform focuses on observing live API traffic to build an inventory and detect issues that do not always appear in code or pre-production testing. It can help teams understand API usage patterns, sensitive data exposure, and call paths across microservices. This runtime approach supports faster triage by linking findings to specific endpoints, services, and request context.
Broad API risk coverage
Traceable AI typically addresses multiple API risk areas in one product, including discovery, authentication/authorization issues, data exposure, and abuse patterns. This can reduce the need to stitch together separate point tools for inventory, monitoring, and threat detection. It is well-suited to organizations with many internal and external APIs and frequent API changes.
Integrations for security workflows
The product commonly integrates with SIEM/SOAR, ticketing, and cloud logging/monitoring tools to operationalize findings. These integrations help route alerts, enrich incidents, and track remediation work. It also supports collaboration between AppSec, platform teams, and developers by providing endpoint-level context.
Requires traffic instrumentation
Effective runtime detection generally depends on deploying agents, sidecars, or other instrumentation and ensuring sufficient traffic coverage. This can add rollout effort across services and environments and may require coordination with platform teams. Organizations with limited observability maturity may need additional work to achieve consistent visibility.
Not a full SAST/SCA suite
While it can complement DevSecOps programs, Traceable AI is primarily centered on API runtime security rather than comprehensive code scanning and dependency analysis. Teams seeking end-to-end software supply chain coverage may still need separate tools for source code, build pipelines, and open-source dependency governance. This can increase overall toolchain complexity.
Tuning and alert management
Runtime anomaly and abuse detection can generate noisy alerts without careful baselining and policy tuning. Teams may need time to define acceptable behavior, set thresholds, and align detections to business risk. Ongoing maintenance is often required as APIs and usage patterns change.
Seller details
Traceable AI, Inc.
Private
https://www.traceable.ai/
https://x.com/traceableai
https://www.linkedin.com/company/traceableai/
