Sysdig has extended AI Workload Security to Amazon Bedrock, Amazon SageMaker and Amazon Q.
Sysdig and AWS are innovating to help customers accelerate the adoption of AI in a secure manner.
By extending AI Workload Security to AWS AI services and ingesting real-time signals from AWS CloudTrail logs, Sysdig can mitigate and enable swift response to events such as:
Reconnaissance activity: Detect attempts to discover and exploit AI services, enabling security teams to outpace malicious activity.
Data tampering: Identify attempts to manipulate data, delete models or knowledge bases, and disable logging to help safeguard sensitive data and ensure the integrity of AI applications.
Public exposure: Highlight where AI applications are exposed to the internet, giving teams the visibility they need to limit the exposure of proprietary and sensitive information.
“Everyone is racing to embed AI into their software, but doing so without the right understanding of AI risk and the proper security controls applied could be costly. Together with AWS, we’re enabling mutual customers to securely capitalize on the efficiency and speed that AI unlocks,” said Loris Degioanni, CTO and Founder, Sysdig.
Sysdig streamlines triage and reduces response times by integrating real-time AI Workload Security with the company’s unified risk findings feature. This solution, offering security teams a consolidated view of all correlated risks and events, is pitched as facilitating a more efficient workflow for prioritizing, investigating and mitigating active AI risks.
