Securing AI on Amazon Bedrock with Cyera

AI value scales with the sensitivity of the data it touches, and that's the governance problem. This whitepaper shows how Cyera AI Guardian secures Amazon Bedrock knowledge bases, custom models, and agents with continuous data classification, AI security posture management, and inline runtime enforcement, mapped to the OWASP Top 10 for LLM Applications. Learn how to move Bedrock AI workloads from pilot to production without trading governance for velocity.

What's inside

• The 3 Risk-Concentration Patterns: A breakdown of how Knowledge Bases (RAG), Model Customization, and Custom Bedrock Agents map directly to the OWASP Top 10 for LLM Applications.
• Continuous Data-Layer Governance: We examine how Cyera’s AI-SPM and AI Protect apply security controls at the data layer. Every prompt, retrieval, tool call, and completion is checked in real time to catch risks as they happen.
• Hard Enterprise Proof Points: Review the architecture driving an 80% lower breach likelihood, $134K+ in annual savings based on customer ROI analyses, and the ability to classify 28.5 TB of complex data in 17 hours for a customer.

"Cyera's data discovery and AI-powered classification provide deep context and understanding of the data we are responsible for - a single solution for end-to-end visibility and control over all of our data, no matter where it resides." -  Mike Melo, CISO, LifeLabs 

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