Securing Generative AI Applications Built on Amazon Bedrock with Cyera

This whitepaper breaks down how Cyera’s data-first approach delivers the security foundation modern AI initiatives require. Cyera unifies Data Security Posture Management (DSPM), AI Security Posture Management (AI-SPM), and real-time AI runtime protection to give enterprises complete visibility, governance, and control over how Bedrock models, knowledge bases, and agents interact with sensitive data. Readers will learn how Cyera:

• Discovers and inventories all AI assets: including models, knowledge bases, and agents, while surfacing Shadow AI and mapping each resource to the data it touches.
• Classifies and analyzes sensitive data: feeding models, RAG pipelines, and training sets to prevent leakage, overexposure, or unauthorized use.
• Protects AI in real time: with AI Protect guardrails that classify and filter prompts, completions, knowledge-base retrievals, tool calls, and agent actions to stop sensitive information from escaping or being misused.
• Mitigates OWASP Top 10 for LLM risks: such as prompt injection, training data poisoning, and sensitive data disclosure without slowing innovation.

Through real architectural examples, screenshots, and best-practice guidance, the whitepaper shows how organizations can safely deploy high-value Bedrock use cases, including RAG, model fine-tuning, and agentic automation, while maintaining security, compliance, and least-privilege access. If your organization is adopting Amazon Bedrock, this guide explains exactly how to secure AI workloads end-to-end and eliminate Shadow AI so your teams can innovate faster, with confidence.