Pete Rubio reveals how Rapid7 transformed to an AI-first platform that automates security investigations and accelerates results from hours to seconds.

Topics Include:

• 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

Participants:

• Pete Rubio – Senior Vice President, Platform & Engineering, Rapid7

Additional Links:

• Rapid 7 – LinkedIn - Website – AWS Marketplace

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