Complete visibility and end-to-end security for AI workloads and training data


Automatically detects suspicious activities and threats within AI workloads in your environment across key solutions such as OpenAI, Amazon Bedrock, Anthropic, Google Vertex AI, IBM watsonx, and TensorFlow.
Enriches static risks, such as public exposure and misconfigurations, by incorporating real-time threats and suspicious activities — like shell access or remote file copying — allowing you to prioritize the most urgent risks to your AI workloads and data.
Uncovers hidden attack paths by correlating AI assets with activity, visualizing risks across interconnected resources. With runtime insights and real-time detections, it identifies active lateral movement, so you can stop attackers in their tracks.
Prioritizes critical vulnerabilities in your AI deployments by leveraging runtime insights to identify the highest-risk AI packages in use, ensuring the most critical vulnerabilities are addressed first.

Sysdig’s AI workload security delivers real-time visibility into active risk across AI and GenAI environments. AI adoption and model deployment have expanded the attack surface and the potential for sensitive data exposure. Sysdig helps teams understand where AI packages are running, what’s exposed, and which risks require immediate attention.
Sysdig continuously analyzes cloud context like public exposure, vulnerabilities in active AI packages, misconfigurations, and suspicious activity to reveal the issues that could impact AI models and data. By detecting signals like unauthorized access or attempts to manipulate AI inputs in real time, Sysdig empowers teams to catch potential threats before they escalate.
AI workload security is fully integrated into Sysdig’s Cloud Attack Graph, correlating findings across vulnerabilities, permissions, and threat detection. This unified view simplifies investigation, showing how risks connect and which attack paths involve AI workloads. With clear prioritization and runtime insights, teams can fix issues fast and confidently scale their AI adoption.