Detect Amazon Bedrock misconfigurations with Datadog Cloud Security

This post was co-written with Nick Frichette and Vijay George from Datadog.

As organizations increasingly adopt Amazon Bedrock for generative AI applications, protecting against misconfigurations that could lead to data leaks or unauthorized model access becomes critical. The AWS Generative AI Adoption Index, which surveyed 3,739 senior IT decision-makers across nine countries, revealed that 45% of organizations selected generative AI tools as their top budget priority in 2025. As more AWS and Datadog customers accelerate their adoption of AI, building AI security into existing processes will become essential, especially as more stringent regulations emerge. But looking at AI risks in a silo isn’t enough; AI risks must be contextualized alongside other risks such as identity exposures and misconfigurations. The combination of Amazon Bedrock and Datadog’s comprehensive security monitoring helps organizations innovate faster while maintaining robust security controls.

Amazon Bedrock delivers enterprise-grade security by incorporating built-in protections across ...