Cloud Security Podcast - LIVE!
summary
Live podcast panel claims defenders can use LLMs to speed detection and triage: a prototype pipeline uses Claude and Claude Code to query cloud logs, build Terraform, and write detections in 5–10 minutes, ingesting logs into Postgres and attacking sim‑agnostic rules (Sigma). They build triage bots that surface noisy alerts, flag recurring high‑risk signals, and connect via MCP servers/ custom tools to cloud APIs; experiments run on cloud (Bedrock/Vertex) and demonstrate practical, working augmentations to SOC workflows.
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chapters (14)
- 0:00Welcome and introduction
- 3:28Introducing the panelists
- 6:39Traditional security operations
- 8:26Risks of AI in organizations
- 9:32AI for detection and response
- 12:36Threat modeling AI systems
- 16:08Building AI security capabilities
- 21:00AI in cloud environments
- 26:15Starting with AI security
- 34:23First steps to leverage AI
- 37:53Scaling AI security practices
- 38:37Audience Q&A begins
- 39:18Fun questions about AI
- 42:29Closing remarks and thanks
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