
Kuma is a service mesh that makes the underlying network safe, reliable, and observable without having to change any code. Kuma is built on top of Envoy, enabling customers to deploy a ready-made solution that enables seamless management of any service on a network, including application traffic, as well as microservices and APIs.
Service meshes lack the visibility and application context needed to stop advanced cyber-attacks.
For Kuma deployments, Traceable AI delivers integrated API and application security that learns the application in real time. Using machine learning and distributed tracing, it maps microservices end-to-end, understands normal behavior, and tracks changes—surfacing anomalies that can be alerted on or blocked to keep applications secure and resilient.

Traceable AI monitors stateless API traffic to reconstruct the full API DNA including the name, parent service, headers, parameters and payloads to provide full visibility and change management for external and internal APIs.
Per endpoint risk scores and threat indexes help prioritize focus. Risk scores are continuously calculated based on the likelihood and possible impact of an attack. Threat indexes show the current level of threat activity.
Pinpoint transactions where sensitive data is exposed. Identify API endpoints that handle sensitive data. See meta-data details of all data used by all endpoints. Identify external (north-south) facing APIs. Identify APIs endpoints without authentication.
Ensure API protection, prevent the exploitation of API vulnerabilities that can lead to sensitive data loss. Protect against BOLA, Mass Assignment and other business logic vulnerabilities.
Traceable AI analyzes web traffic as it passes through your application, blocking cyber-attacks before they can get your sensitive data. Protect against web application attacks such as SQL injections, Cross-site Scripting (XSS) and XML External Entities (XXE).
Extract critical security insights from all transactions captured in a data-lake. Powered by machine learning, Traceable AI can surface potential threats and ensure you’re ahead of your attackers.
Visualize security events as kill chains as executed by cybercriminals, helping to streamline threat analysis, forensics, and remediation.
Decrease analysis time by reviewing aggregated security events without having to parse through hundreds of log files across microservices.
Drill down into system behavior and identify the errors, users, URL, possible security events and relevant parameters needed to address the risk.
