After AI Triage:
The Era of the Self-Improving SOC
AI can triage and investigate alerts, and the SOC got faster. But speed isn't enough when attackers compound daily and defenses stay fragmented: tools don't share context, knowledge doesn't travel, teams work in silos. Join us on July 30 for a live demo of how to build a Self-Improving SOC in your environment.
What you'll see in the live demo
Clear your alert queue at machine speed.
Watch AI correlate evidence across your security stack and complete deep investigations in minutes.
Turn investigations into lasting knowledge.
See how every investigation captures reusable context, surfacing insights from previous cases and turning analyst feedback into knowledge that improves future investigations.
Move from verdict to action with confidence.
Watch AI recommend the next best step, with evidence attached and every action fully auditable.
Patch what attackers are actually exploiting.
Detect signs of active and zero-day exploitation before traditional vulnerability scans and prioritize patching based on actual risk.
Eliminate recurring false positives at the source.
Identify noisy detections and apply tuning recommendations so the same false positives stop coming back.
CISOs & security leaders
Asking what's next now that AI triage is table stakes.
SOC managers
Who want capacity that compounds, not just faster case closure.
Detection & IR teams
Tired of watching hard-won context evaporate the moment a ticket closes.
Fraser Whitfield
Head of Product, Qevlar AI
With a background in product leadership across software and security, Fraser keeps Qevlar close to the people it serves.
His focus: turning the daily grind of SOC investigations into a product that gives analysts their time back and makes organisations more secure.
30 min presentation, 15 min live Q&A.
Best strategies from working with global enterprises and leading MSSPs.
See what comes after AI triage.
Join Fraser and the Qevlar team live. 30 min of practical steps, 15 min of your questions.
