What it does
Sysdig sells cloud security built around what it calls runtime insights. It captures live system calls at the kernel level to see what is actually running, rather than relying only on configurations, code and cloud APIs. Sysdig Secure brings prevention, detection and response together across containers and Kubernetes, identities, workloads and cloud services. Secure AI adds three ways to work with AI. The GenAI Assistant gives contextual answers, navigation help, explanations of risk and recommended next steps inside Sysdig Secure. Agentic AI lets you set security outcomes and have autonomous agents work toward them. Headless mode lets your own coding agents use Sysdig intelligence to build custom security workflows. The site also describes AI Defense, which secures agents at runtime wherever they run, and AI workload security for detecting, prioritising and remediating active AI risk. Sysdig's Threat Research Team packages its attack research as expert-written skills for these agents. The open-source section lists projects including Falco and Stratoshark.
Capabilities
- Runtime-based detection and response across containers, Kubernetes, identities, workloads and cloud services
- GenAI Assistant for answers, risk explanations and next steps inside Sysdig Secure
- Agentic AI that works toward the security goals you set
- Headless mode to power your own coding agents with Sysdig intelligence
- AI Defense for securing agents at runtime, from endpoint to cloud
- Expert-written skills from Sysdig's threat research team
When to use it
- Securing Kubernetes and cloud workloads when you want findings ranked by what is actually running
- Adding an AI assistant or autonomous agents to an existing cloud security workflow
- Detecting and reducing risk from AI workloads and agents running in your cloud
