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.
Modern Environment Security
File Integrity Monitoring
Container & Kubernetes Security
ThreatML - with Supervised Learning
Cloud Compliance Overview
Insider Threat Detection
Fargate Security Monitoring
AWS Graviton2 / Arm Support
Security Research Center
Case Studies & Testimonials
View Resource Center
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 environments using ThreatML, our detection-in-depth approach for high-efficacy threat detection. Take the right actions, faster, on the biggest threats to your company using ThreatML, now with supervised learning.
Anomaly detection alone is not enough to protect your cloud workloads. ThreatML overcomes these limitations by using multiple detection methods that now combines rules with supervised learning that make predictions about behaviors in your environment.
ThreatML highlights unpredictable behaviors that represent real, actionable threats, meaning you only have to focus on the highest priority threats your company. If you’d like to learn more, reach out to us today.
Threat Stack collects 60 billion events daily across your environment, including cloud management consoles, hosts, containers, Kubernetes, and applications, for full observability into your cloud workloads.
Multiple methods of detection surface only the most relevant alerts that require action. Our configurable rules and supervised learning work to detect threats and eliminate false negatives.
ThreatML’s inference engine uses labeled data from our rules to classify events that allow us to make accurate predictions on events. ThreatML automatically trains itself based on results for continuous accuracy.
Threat Stack surfaces only the most pressing alerts that you need to respond to. 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 Done Right: Webinar on Cyber Security using Supervised Machine Learning / deep learning to gain high-efficacy alerts and intrusion detection...
Datasheet on ThreatML—now with supervised learning— that details how customers can have high-efficacy threat detection on cloud workload behaviors
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 see how the Threat Stack Cloud Security Platform, including ThreatML, can support your cloud security, intrusion detection, and compliance needs.