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June 10, 2024, 6 a.m.
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Brief news summary

Sysdig has extended its AI Workload Security to include Amazon Bedrock, Amazon SageMaker, and Amazon Q, enhancing the security of AI workloads. The solution improves visibility, detects suspicious activity in real-time, and prioritizes vulnerabilities. AI workloads, especially generative ones, face higher risks due to limited visibility, which Sysdig addresses. By integrating with AWS AI services and analyzing AWS CloudTrail logs, Sysdig enables quick responses to events like reconnaissance, data tampering, and public exposure. This collaboration between Sysdig and AWS allows joint customers to securely embrace and leverage AI benefits. Sysdig's solution provides better visibility and control for security teams, simplifying incident investigation and reducing response times. It offers real-time insights and consolidated risk findings, presenting a unified view of correlated risks and events and streamlining the process of prioritizing, investigating, and mitigating AI risks.

Sysdig has announced the extension of AI Workload Security to Amazon Bedrock, Amazon SageMaker, and Amazon Q. This extension aims to improve security for AI workloads by providing greater visibility, identification of suspicious activity, and vulnerability prioritization. Generative AI workloads are found to have a higher risk of exposure, which can slow down software development and increase the risk of vulnerable applications. Sysdig and AWS are working together to accelerate the adoption of AI in a secure manner.

The AI Workload Security detects and responds to various events, including reconnaissance activity, data tampering, and public exposure. By integrating with AWS CloudTrail logs, Sysdig can provide real-time detections and deep runtime visibility to address imminent threats. The solution also includes the integration of real-time AI Workload Security with Sysdig's unified risk findings feature, offering security teams a consolidated view for more efficient workflow and risk mitigation.


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