Cloud Security Platform
A single, cloud-native platform for workload compliance and security across the entire infrastructure stack, throughout the application lifecycle.
Threat Stack Oversight (SOC)
Reduce mean-time-to-respond with 24/7/365 monitoring and alert escalation from the Threat Stack Security Operations Center.
Threat Stack Insight
Improve your cloud security posture with deep security analytics and a dedicated team of Threat Stack experts who will help you set and achieve your security goals.
File Integrity Monitoring
Container & Kubernetes Security
Cloud Security Posture Management
Application Security Monitoring
Cloud Compliance Overview
Insider Threat Detection
Fargate Security Monitoring
AWS Graviton2 / Arm Support
ThreatML - Cloud Machine Learning
Security Research Center
Case Studies & Testimonials
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Cloud security tips, insights, and ideas.
Stay up to date with the latest press releases, news, and events from Threat Stack.
Watch a sophisticated cloud attack and learn the necessary steps to prepare yourself.
Secure your cloud environment using ThreatML with Supervised Learning to improve key security metrics like mean-time-to-know (MTTK) helping you to take the right actions, faster.
ThreatML delivers advanced unsupervised and supervised learning to detect anomalies and predict behavior in your cloud environment surfacing only the highest priority alerts in real-time. ThreatML combined with our massive telemetry collection and industry-leading rules give security teams the power to improve MTTK by taking the right actions, faster.
Read more to see how ThreatML with Supervised Learning massively lowers the burden on your security team without sacrificing comprehensive detection. This is ML done right.
Want to Learn More?
Threat Stack collects the richest data set – processing 60 billion events daily – across the full cloud stack including cloud management console, hosts, containers, Kubernetes, and applications to give you full observability into your environment.
We leverage two methods of detection to understand behavior in your environment: rules-based alerting and ThreatML’s anomaly detection. Having multiple methods of detection means we cover your entire environment and can surface both the known and unknown threats.
Our latest innovation in Supervised Learning uses predictive modeling with labeled data taken from the rules matches and detected anomalies to prioritize and surface the most important threats to your environment.
Threat Stack does all the hard work so that you only need to triage and respond to a small number of important threats to the business. We also offer Oversight and Insight for 24/7/365 SOC and advisory support to keep your security operations running smoothly.
Learn more about our vision for ThreatML with Supervised Learning to help you make the right security decisions faster.
Machine learning is often discussed as a silver bullet solution to every cloud security challenge, but it often falls short of that promise. Register for our webinar.
Discover how ThreatML with Supervised Learning allows security teams to detect both known and unknown threats from anywhere in their Infrastructure.
Threat Stack is here to support you in achieving your goals for securing your entire cloud infrastructure and application stack. Schedule time with us today to explore how the Threat Stack Cloud Security Platform combines deep telemetry collection with rules, ML, and analytics for continuous cloud security monitoring.