Most “AI in the SOC” pitches still show you a paid platform that’s proprietary, closed, and gives you no real control over cost, and requires critical incident related data to leave your secure environment. SCALR AI is built on a different premise: multi-agent digital workers that trigger from an incident, an event, or a schedule, and run with their own governed identity, not a person’s. In this session, SRA’s Matthew McHugh walks through the SCALR AI architecture live, how specialist agents handle triage and enrichment, where AI-driven quality review fits, and how teams extend it into threat hunting, vulnerability management, and phishing analysis.

5 Key Outcomes

Attendees will leave able to:

1. Explain the digital worker vs. personal assistant distinction: why an agent triggered by a workflow, with its own identity and audit trail, is governable in a way a chatbot in a browser tab isn’t.
2. Understand the true cost model: no license fee, Azure compute only, billed directly by Microsoft, with per-workflow, per-agent, and per-model cost visibility built into the platform.
3. See how the architecture actually works: specialist SME agents (identity, network, host) coordinated by an incident-commander agent, each running on the right-sized model for its task.
4. See it live, including a real result: a client deployment that cut mean time to acknowledge to 2 minutes and mean time to triage to 5 minutes.
5. Know the next step: the enterprise/Azure-tenant prerequisite to check before requesting access.