Speaker: Manuel Beicht

This session demonstrates how Zscaler Agentic SecOps transforms traditional SOC triage through AI-powered correlation, enrichment, and prioritization of security signals. Isolated alerts from diverse sources are merged into context-rich "Attack Stories" to rapidly identify critical threats and evaluate them by risk, affected assets, identities, and vulnerabilities.

Key highlights include reducing alert noise, enabling precise incident assessment, and driving fully autonomous, agent-based closed-loop remediation. Powered by Zero Trust telemetry, this approach minimizes detection and response times in the emerging era of AI-driven attacks, establishing a solid foundation for highly automated and efficient SecOps workflows.