The growing risk in AI environments
AI moves fast
Protect AI without putting on the brakes
Shadow AI is hiding in plain sight
Employees are using unregulated AI tools outside of IT’s visibility, creating hidden risks to data security and compliance.
Compliance pressures are mounting
As AI regulations evolve, organizations must assess their ability to secure AI systems to meet growing compliance expectations and mitigate legal risks.
Teams lack experience in securing AI
Many organizations lack the expertise to identify and prioritize risks in AI environments, which leaves them vulnerable to AI package vulnerabilities and malicious manipulations of AI processes.
With Sysdig, you don’t have to choose between speed and security
Uncover active AI risks
With Sysdig, you can manage sanctioned and shadow AI tools in your environment, allowing you to identify vulnerabilities and mitigate risks before they impact your organization.
Stay ahead of emerging regulations
New AI regulations are coming. Stay ahead of them by gaining clear visibility into your AI workloads, their locations, and the risks they carry.
Simplify secure AI adoption
With Sysdig, securing AI workloads is simple, even without deep AI expertise. Our purpose-built solution makes AI security easy to implement regardless of your team’s experience level.
Elevate AI workload security
with a platform built for AI environments
AI threat visibility
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, OpenAI, and TensorFlow.
Risk prioritization
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.
Attack path analysis
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.
Runtime vulnerability exposure
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.
