SOC teams don’t have an alert problem—they have a decision problem. This panel explores how AI and machine learning can reduce noise and elevate signal by clustering related activity, enriching context, prioritizing business impact, and routing the right work to the right humans. Panelists will share practical lessons on tuning models without breaking trust, reducing false positives without missing stealthy behavior, and proving that “AI triage” improves outcomes—not just dashboard aesthetics.
Investigation is where time disappears—pivoting across logs, assembling timelines, validating hypotheses, and documenting actions. This panel focuses on AI-assisted investigation that speeds up root-cause analysis while keeping analysts in control: narrative timeline generation, natural-language querying across telemetry, guided hunts, and automated enrichment that preserves evidence quality. We’ll also tackle the pitfalls—hallucinations, overconfident summaries, missing context—and how to build checks and workflows that keep investigations defensible.
Automation can shrink containment time from hours to minutes—but the blast radius of a bad playbook is real. This panel looks at how AI is changing SOAR and response orchestration: smarter playbook selection, adaptive containment, and dynamic ticketing and communications. Panelists will cover how to design “safe automation” with policy guardrails, approvals, rollback plans, and continuous testing—plus how to integrate response automation across endpoint, identity, cloud, and network controls without creating new fragility.
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