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Sumo Logic's VP of Security Strategy reveals how a ground-up agentic framework transformed their platform, and why clean data and autonomous agents are rewriting the rules of cloud security.
Topics Include:
- Sumo Logic is a cloud analytics platform ingesting data from complex IT stacks.
- Built on AWS from the start, leveraging microservices for scalable solutions.
- Early AI efforts produced a natural language query co-pilot for security data.
- Bolting AI onto existing platforms proved brittle and one-dimensional.
- Customer feedback drove a decision to redesign AI from the ground up.
- The Dojo AI framework unifies purpose-built agents across the entire platform.
- New agents include a SOC analyst agent, knowledge agent, and MCP server.
- New frontier models on Bedrock give the whole platform an instant brain transplant.
- Autonomous agents require rethinking security controls beyond traditional programmatic guardrails.
- Federal and global customers demand rigorous, levelled-up security across all regions.
- Clean, normalized data proved the biggest unlock for reliable AI query results.
- Agent-to-agent communication and MCP will define the next era of AI platforms.
Participants:
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