Ep160: Rapid7's Journey to an AI-First Platform: Lessons from 10 Years of Evolution
Update: 2025-10-20
Description
Rapid7's Vice President of Data and AI Laura Ellis shares how they built an AI-first cybersecurity platform by investing in AI platform AND data infrastructure simultaneously.
Topics Include:
- Rapid7 processes massive cybersecurity data across exposure management, threat detection, and managed SOC.
- 84% of security analysts want to quit due to data overload burnout.
- Challenge: investing in AI platform AND data infrastructure simultaneously, not sequentially.
- Built security data lake with AWS, unified IDs, and standardized schemas across products.
- Used traditional machine learning for 10 years before generative AI emerged.
- Generative AI raised questions about business impact; agentic AI enables full automation.
- Chose AWS for scale, model marketplace flexibility, and true partnership on capacity.
- Co-development incubator with SOC team proved critical: equal responsibility, full-time collaboration.
- Launched alert triage automation, SOC assistant chatbot, and incident report generation tools.
- Built AI platform with guardrails after pen testers generated cookie recipes costing money.
- One agentic feature initially cost-estimated at $140 million before optimization and guidance.
- Future: more AI features, granular customer configuration, and bring-your-own-model capabilities.
Participants:
- Laura Ellis – Vice President, Data & AI, Software Engineering, Rapid7
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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