AI & LLM Security — learn it hands-on.
Practical AI security for cloud teams — securing what you actually run in production: Amazon Bedrock, RAG pipelines, AI agents, and the coding assistants your developers already use. Our AWS Security Specialty (SCS-C03) track now includes GenAI security as part of the syllabus.
Practitioner guides — AI & LLM security on AWS
Five deep, practitioner-written guides covering the AI security surfaces cloud and security teams run into first.
What's comingIn development
Beyond the free Bedrock lab you can launch today, deeper paid AI labs are on the way — find and fix real IAM, Guardrails, and data-isolation misconfigurations in a live AWS account, the same way our AWS security labs work.
Security for AI, built by cloud security practitioners
AWS-native, not generic
Every guide maps to concrete AWS controls — IAM policies, Bedrock Guardrails, KMS, VPC endpoints — not abstract AI-safety theory.
Covers what you already run
Bedrock, RAG over vector databases, agent tool-use via MCP, and the AI coding assistants your developers use daily — the real attack surface, today.
Part of a bigger track
GenAI security is now part of our AWS Security Specialty (SCS-C03) prep — learn it alongside IAM, data protection, and detection, not as a bolt-on.
Bring AI security into your cloud security program
Start with a free hands-on AWS security lab, or talk to us about securing your Bedrock, RAG, and AI-agent workloads.