Secure Amazon Bedrock with Datadog: AI Misconfiguration Detection

Amazon Bedrock, a managed service offering foundation models, prioritizes security with built-in protections for data privacy, access control, and compliance. Data is encrypted in transit and at rest, and access is tightly governed through AWS Identity and Access Management (IAM). It integrates with AWS PrivateLink and supports VPC endpoints for private communication. However, securing configurations remains the customer's responsibility. To address this, Datadog Cloud Security integrates with Amazon Bedrock, providing a holistic view of AI infrastructure risks and vulnerabilities. Using agentless and agent-based scanning, Datadog identifies and prioritizes risks across cloud resources, enriching security findings with observability data. Key features include real-time risk detection, simplified compliance, and remediation guidance. Datadog offers out-of-the-box detections for common misconfigurations, such as preventing custom models from accessing publicly writable S3 buckets, ensuring guardrails are enabled, and blocking prompt attacks. This integration helps organizations meet evolving AI regulations, prioritize critical misconfigurations based on business context, and accelerate secure AI adoption. Datadog's multi-layered analysis reduces noise and improves the overall security posture. The partnership between AWS and Datadog empowers customers to securely leverage the power of generative AI. Additionally, Datadog offers Bits AI Security Analyst, an agentic AI security analyst that automates triage for AWS CloudTrail signals, further enhancing security and reducing mean time to remediation (MTTR).

(Source: https://aws.amazon.com/blogs/machine-learning/detect-amazon-bedrock-misconfigurations-with-datadog-cloud-security/)