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
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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