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Introduction to Traceable
TraceableAI combines the power of end-to-end distributed tracing, cloud-native integrations, and advanced ML-powered behavioral analytics to deliver API and application security from user to code.
As businesses migrate their applications to cloud-native architectures and adopt agile and DevOps practices, they are being attacked by sophisticated hackers using the latest emerging tactics. APIs expose business logic to hackers and complex microservice environments make it easy for security vulnerabilities to sneak through the cracks. To combat these new threats, Traceable delivers a strong and adaptive security foundation that protects your business. Traceable's platform works in the background even as application architectures change, development methodologies evolve, and new attack vectors and threats emerge.
Traceable brings your security and development teams together to monitor and protect your most important assets - your customers, applications, and data. Traceable also provides rich dashboards, reports, and many other features to monitor and protect applications and application users by using modern observability and machine-learning algorithms.
Application health The Traceable dashboard displays the important issues, highlights the key health metrics, and reports attack and remediation rates. Customizable visualizations provide at-a-glance insight into service and API-level security events and system-load levels.
Automatic API discovery Traceable's AI engine collects and analyzes data over a period of time to discover APIs in your API ecosystem. Any API and its corresponding details that you see in the Dashboard are displayed through the process of API discovery.
App Topology
Real-time topology map shows API flows and interconnectivity between services (endpoints, internal, and 3rd-party). API Specifications offer more accurate specs than SWAGGER with real-time data from actual application usage.
Protection from OWASP and emerging threats Traceable's machine learning engine learns from application behavior to detect emerging threats based on application logic. Built-in standards protect against OWASP Top 10 and OWASP API Top 10.
User and behavior analytics Security events mapped to users help in reducing false positives and expediting threat analysis. The AI engine of Traceable identifies anomalous user behavior, including insider threats by learning normal user behavior. Real-time detection helps prioritize remediation for frequently attacked services.
Granular data access visibility Data risk profiling identifies high-risk and sensitive data proactively. Sensitive data is mapped to APIs for transparency into the services that access sensitive data.
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