What if your SOC could see the next move before the attacker makes it?
Alert fatigue. Constant context switching. After action reports that eat up anywhere from thirty minutes to several days per incident. Pain points like these are quietly draining SOC teams and driving analyst burnout, and most AI security tools on the market today do little more than layer a chatbot on top of historical data.
Join SANS instructor Matt Bromiley and Broadcom's Paul Miller on November 9, 2026 at 10:30 EST for a look at what happens when detection and response tools stop just reporting the past and start forecasting what comes next.
This Security Lab includes two live product demonstrations built to show, not just tell:
- Incident Prediction in action. Watch CBX forecast the next four to five likely attacker moves, each with its own accuracy rating, giving analysts a real head start on the timeline instead of a rearview mirror.
- Automated after action reporting. See how CBX compresses one of the most time consuming and burnout inducing parts of incident response into a fraction of the time.
- A grounded, skeptical practitioner in the room. Matt Bromiley pushes on the questions that matter: how accuracy ratings are derived, what explainability looks like, where false positives creep in, and where human judgment still has the final word.
- A framework you can actually use. Attendees leave with a practical checklist for evaluating predictive AI tooling against their own attack surface, team workload, and trust threshold, including what to pilot first.
Register now to see whether predictive security lives up to the hype, straight from the people building it and the practitioner asking the hard questions.
