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Endigest AI Core Summary
Slack's Security Engineering team built an AI agent system to automate and improve security alert investigations at scale.
•Initial prototype used a single 300-word prompt with an MCP server exposing data sources, but produced inconsistent results
•Solution replaced the monolithic prompt with a chain of structured model invocations, each with a defined JSON schema output
•Multi-agent architecture uses three persona types: Director (orchestrates investigation flow), Expert (domain-specific analysts for Access, Cloud, Code, Threat), and Critic (scores finding credibility to reduce hallucinations)
•A "knowledge pyramid" model strategically assigns low/medium/high-cost LLMs to expert/critic/director roles to manage token costs
•Investigation proceeds through phases (Discovery, Trace, Conclude) with a Hub-Worker-Dashboard service architecture for real-time observability
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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