Ep136: Rapid7's Journey to an AI First Platform with AWS

Pete Rubio introduces Rapid7's journey to becoming an AI-first cybersecurity platform

Cybersecurity teams overwhelmed by growing attack surfaces and constant alert fatigue

Customers needed faster response times, not just more alerts coming faster

Legacy tools created silos requiring manual triage that doesn't scale effectively

AI must turn raw security data into real-time decisions humans can trust

Unified data platform correlates infrastructure, applications, identity, and business context together

Agentic AI automates investigative work, reducing analyst tasks from hours to seconds

Rapid7 evaluated multiple vendors, choosing AWS for performance, cost, and flexibility

Nova models delivered unmatched performance for global scaling at controlled costs

Bedrock provided secure model deployment with governance and data privacy boundaries

AWS partnership enabled co-development and rapid iteration beyond typical vendor relationships

Transparent AI shows customers how models reach conclusions before automated actions

SOC analyst expertise continuously trains models with real-time security intelligence

Governance frameworks and guardrails implemented from day one, not retrofitted later

Future plans include customer AI integration and bring-your-own-model capabilities