For years, security teams built their architecture around the SIEM. That worked when data lived in fewer places and attacks moved more slowly. Today, data is distributed across cloud, SaaS, identities, endpoints, and AI services—while attackers move in minutes. Forcing every event through a centralized SIEM creates unnecessary cost, operational friction, and delay.

Retail security teams protect an attack surface that spans stores, cloud, e-commerce, third-party vendors, and seasonal workforce churn—all while maintaining the uptime that revenue depends on.

Attackers are exploiting that sprawl. Credential theft, POS compromise, loyalty fraud, brand impersonation, and supply-chain exploitation all hit simultaneously, each landing in a different tool. Volume nearly tripled last quarter. Headcount stayed flat.

In this session, ReliaQuest's Matt Garcia and an enterprise CISO will walk through a framework for applying agentic AI to distributed retail environments. We'll cover where to start, which use cases to prioritize, and how to move from alert to containment in under 5 minutes without scaling headcount proportional to volume.

You'll walk away with:

• Which retail use cases to prioritize for agentic AI first—including credential abuse, account takeover, phishing, and third-party access risk—and how to expand coverage from there

• What detecting account takeover, fraud signals, and phishing in motion looks like operationally across distributed store environments

• Concrete proof points to build your internal case for agentic AI with retail leadership