From Alert Fatigue to Risk Clarity

Security teams are being asked to do more in environments that are increasingly cloud-native, identity-driven, and difficult to prioritize. Traditional SIEM approaches still rely too heavily on severity-based alerts, creating noise, slowing response, and stretching analysts too thin. 

In this on-demand webinar, see how modern SOC teams are moving to risk-based detection and response using unified telemetry, behavioral analytics, and governed agentic AI. Learn how modular AI agents, operating with human-in-the-loop controls, can reduce false positives, surface higher-confidence threats, and help teams act faster with greater clarity. 

You’ll also see Sam, the AI SOC Analyst, and the Agentic Mesh in action as they support real SOC work across triage, investigation, and response with explainability, oversight, and audit-ready governance built in. This reflects Securonix’s outcome-driven approach to modern security operations.  

In this session, you’ll learn: 

• Why static rules and severity scoring fall short in cloud-native, identity-centric environments  

• How agentic AI helps reduce noise while improving analyst productivity  

• How to build risk-centric workflows that connect detection, triage, and response  

• What leading SOC teams are doing to reduce MTTR and analyst burnout without adding headcount  

Whether you lead a SOC, design detection strategies, or report cyber risk to executive stakeholders, this session will help you move from reactive alert handling to more intelligent, scalable threat defense.