A hands-on workshop on the SCPs and Bedrock Policies that let your team move fast with AI, without losing control of production.
Part 1 in our series on AI Governance.
Your developers want to build with Bedrock. Your platform team wants to ship AI workloads without a six-month review cycle. And your security team wants to know that AI agents aren’t running wild in production.
You need a posture to control this. It starts with some basic guardrails that won’t trip up AI workload production but keep your cloud safe. We’ll cover restricting foundation model access, enforcing Bedrock Guardrails at the org level, and controlling which AI services are available where.
This workshop will go control-by-control through the governance mechanisms available in AWS Organizations and show you exactly how to deploy them. We’ll also provide deployable policy templates you can use today.
Materials you’ll get from our AI Governance series:
1. SCP to block MCP server activity in production OUs
2. Bedrock Policy to enforce org-level content guardrails
3. SCPs to restrict AI service availability by OU
4. SCPs to control foundation model access (deny-list and allow-list)
5. SCP to block long-term Bedrock API key creation
Meet Your Speakers
Christophe Limpalair
Founder & AWS Trainer
Cybr
Can't teach enough AWS classes
Sandy Bird
CTO & Co-Founder
Sonrai Security
The Wizard of Fredericton
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