Hero guide: Cloud Admin's re:Inforce Playbook
A curated, hands-on session roadmap for cloud admins at AWS re:Inforce. Discover practical sessions on GenAI-driven security, securing AI systems, and building a robust security culture to maximize your learning and impact.

Senior Product Manager
Edge Delta
AWS re:Inforce is packed with insights, but as a cloud administrator, you need the ones that translate into real action. I have prepared this guide on the most relevant, hands-on sessions across three key themes—so you can build skills you’ll use immediately. Whether you’re automating security with generative AI, learning to secure AI tools themselves, or strengthening your organization’s security culture, these sessions are all about practical takeaways. Follow this playbook to plan an agenda that boosts your cloud security expertise and returns you to work with proven techniques, code examples, and fresh ideas you can deploy right away.
Generative AI for Cloud Security
Learn how generative AI can supercharge your security operations. These sessions highlight practical ways to automate defenses, accelerate incident response and compliance, and bolster threat analysis using cutting-edge AI tools.
This session focuses on accelerating incident investigations and audits with AWS generative AI. Tune in to derive security insights from your data.
This session teaches security AI agents to monitor and control outgoing traffic. Automate egress filtering and catch anomalies in real time.
Making security logs actionable is a big challenge. Join this session to see AI sift through logs, spot patterns, and auto-generate alerts or fixes.
Would you trust AI to run playbooks? Tune in to see how you can automate security playbooks using generative AI for faster and more consistent responses.
Compliance is always a daunting task. Attend this session to generate audit reports and check configurations against policies.
Securing AI Itself
Protect the AI systems you deploy. This theme dives into keeping generative AI agents and platforms secure: making AI applications resilient, guarding sensitive data they use, preventing manipulation like prompt attacks, and enforcing strong access controls.
Join to learn security lessons from AWS and Anthropic - two giants combining powers. See what it takes to shield AI models and data at scale, use proven techniques to fortify your own AI deployments.
Deep-dive into securing data for Amazon Bedrock AI agents. From encryption to architecture design, understand how to protect sensitive info that your AI models rely on.
Learn how to mitigate prompt injection attacks on your AI with Amazon Bedrock. Learn how to detect and neutralize malicious prompts for safer AI outputs.
I can't think of re:Inforce and not mentioning IAM. See IAM best practices in action to tightly control who or what can access your AI systems.
Build Security Culture
Scale security beyond just tools—build it into your team’s culture. Sessions here focus on the human side: instilling security-first mindsets, training security champions, gamifying good practices, integrating checks in pipelines, and learning from every incident.
Join this session to get practical tips to bake security into daily work so everyone—from devs to ops—shares responsibility for protecting the cloud.
Join this session to discover how to empower team members as security advocates to multiply your impact and spread security know-how across your org.
See practical example of Sportsbet’s experience on security culture. See how their Security Guardians program works and gather ideas to launch a similar one in your company.
Learn how to build a generative AI-powered security leaderboard to spark friendly competition and drive continuous improvement across teams.
Join to learn how to capture each incident's lessons and feed them back into your processes, so your team gets smarter and more resilient each time.
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