Amazon Bedrock, GenAI & RAG Security Assessment by Futuralis

Secure your GenAI workload before it scales. The Futuralis Amazon Bedrock, GenAI and RAG Security Assessment helps organisations identify and address prompt injection risks, sensitive-data leakage, excessive model access, weak retrieval controls, tenant isolation gaps, and governance risk in GenAI workloads on AWS.

Futuralis reviews Amazon Bedrock IAM and model access controls, prompt and RAG flow design, document and knowledge-base permissions, vector-store and OpenSearch access controls, tenant isolation, audit logging configuration, Bedrock Guardrails setup, data retention policies, and AI usage governance policy — producing a comprehensive GenAI security assessment with a prioritised remediation roadmap.

Core deliverables include a GenAI threat model, RAG access-control review, Bedrock Guardrails configuration assessment, AI governance maturity report, risk register, hardening checklist, and prioritised remediation roadmap. Recommended next steps: GenAI Privacy and Responsible AI Guardrails, LLMOps and AI Lifecycle Management, HIPAA Compliance Readiness for AI workloads. This professional service relates to Amazon Bedrock, Bedrock Agents, Knowledge Bases, Bedrock Guardrails, Amazon SageMaker, Amazon S3, AWS Lambda, Amazon OpenSearch, AWS KMS, and Amazon CloudWatch.