Enabling Autonomous Threat Tracing.
Garud.AI provides observability into your application architecture enabled by a Deep Learning Engine!
Minimize the attack surface vulnerabilities.
Powered by the best data and smartest AI, GARUD.AI accurately detects malicious activity by continuously learning from real application activity.
Enable API Security Intelligence
Secure your APIs inline with the latest community recommendations from the OWASP API Top 10 initiative including authorization bypass, mass assignment and other business logic vulnerabilities.
Block API Treats
Automatically detect and protect your applications from known web application attacks such as SQL Injection, Cross-Site Scripting (XSS), XML External Entities (XXE), and more.
Detect threats across sessions
Gain visibility into API call sequences within and across user sessions so you can detect threats that stem from application logic abuse.
Automatically prevent attacks
Integrate directly into your API gateway to automatically block threats and adapt to application changes in real-time as you add or update existing APIs and code.
How it Works
A modern foundation for cloud-native app security.
Distributed tracing and TraceAI machine learning power accurate and actionable insights to protect, investigate, and monitor your cloud-native apps.
Defend your apps holistically.
Observe all user activity and API interactions, then act on
unexpected user and API behaviors.
Full application context
Monitor threats with complete observability into user behavior, data flow, API activity and code execution, and get custom alerts on unexpected user behaviors.
Map app topology & data flow
Auto-discover your entire cloud-native application topology, including connectivity between edge APIs, internal services, and data stores.
Resolve threats quickly
See security events organized as kill chains executed by malicious users to streamline threat analysis and expedite resolution.
Stay informed 24×7
Get GARUD.AI alerts delivered in Slack, email and existing SOC systems for quick response from the tools of your choice.
Built-in Traceable Data-driven Security.
GARUD.AI’s distributed tracing collects user behavior, API, data flow, and code execution data for complete observability across your cloud-native applications. Deploy GARUD.AI in less than 5 minutes and instantly get a complete topology map, full API specs and performance metrics.
Speed to insights and forensics.
From full call flow analysis to data flow tracing, you’ll be able to investigate, diagnose and fix problems across infrastructure and code.
Perform deep forensics
Drill down into system behavior and identify the errors, users, URL, possible security events and relevant parameters needed to address the risk.
Triage attacks 10x faster
Review individual security events without having to parse through hundreds of log files across microservices and decrease analysis time by over 10x.
Quickly build customized charts and data visualizations that summarize attack analysis for the executive team.
Get infrastructure, services, and code-level threat analysis in a single platform to facilitate collaboration and expedite threat resolution.
Built-in Deep Learning.
TraceAI, GARUD.AI’s machine learning technology, continuously learns from collected tracing data to understand normal user and application behavior. Live user and application activity is compared against the understood norm to detect deviations and malicious activity.
Shift left and code at full speed.
Installs in 5 minutes
GARUD.AI is a snap to install and delivers comprehensive security and performance observability for your cloud-native app in minutes.
Speed of DevOps
Distributed tracing and TraceAI machine learning let developers continuously deliver without compromising security.
GARUD.AI’s topology maps, real-time API specs, and observability metrics provide valuable day-to-day insights for developers.