Security operations centers are under relentless pressure: Alert volumes continue to rise while analyst time and institutional knowledge remain constrained. Traditional triage approaches struggle to provide sufficient context, resulting in delayed decisions, operational fatigue, and missed opportunities to improve detection quality.
In this SANS First Look webcast, SANS Certified Instructor Cristian-Mihai Vidu examines a new approach to agentic AI for SOC support that embeds human investigative practices directly into automated workflows. Rather than acting as a black box, this model emphasizes accuracy, consistency, and transparency to drive trust in decisions. The visibility means better detection engineering and more accurate threat hunting, not just alert triage.
What You Will Learn
- Why alert overload persists in modern SOCs and how lack of context—not just volume—creates investigation bottlenecks
- How agentic AI can augment analyst workflows by gathering evidence, documenting reasoning, and proposing investigative actions
- Techniques for building trust in AI-driven triage, including transparency, artifact-based explanations, and verifiable decision paths
- How combining generative AI with deterministic security tools improves accuracy and reduces false positives
- How evidence-driven triage can reduce analyst toil and enable teams to focus on threat hunting and detection improvement
- How improved alert triage through accuracy, consistency, and transparency supports threat detection in the SOC
Who Should Attend
- SOC analysts and incident responders
- Security operations leaders and SOC managers
- Detection engineers and threat hunters
- CISOs and security architects evaluating AI in security operations
- MSSPs and smaller security teams seeking to improve triage efficiency
