After AI Triage: The Era of Self-Healing SOC
By 2026, AI has made SOCs measurably faster. But speed alone is a treadmill: analysts sprint all day and end up exactly where they started. If you're using AI only as a companion, you're leaving its biggest advantage on the table, and you can still miss the attacks that matter.
The most valuable use of AI is closing the loop, so every investigation makes the next one sharper, your detections tighter, and your defense stronger.
What you will learn
Hosted by a builder of autonomous AI SOC analysts
You walk awayable to
See where every alert makes your SOC smarter, instead of starting each investigation from scratch
Map the four self-improving loops onto your own investigation, detection, response, and exposure workflows
Turn false positives and investigation-derived IOCs into tighter detections and better coverage
Move your team from clearing alerts to building a defense that gets stronger with every case
Get the full webinar, free
Want to make the attackers life a bit harder?
Trust, Then Automate: How Vancord Is Building a Self-Improving SOC
See how Vancord is using Qevlar to cut investigation time from 30+ minutes to 5–10, capture customer context, expose data gaps, build trust in AI decisions, and gradually automate SOC response.
After AI Triage: The Era of Self-Healing SOC
Speed alone is a treadmill. Learn the four loops that turn one-off investigations into a SOC that compounds: sharper context, tighter detections, faster response, less exposure. Hosted by Fraser Whitfield, Head of Product at Qevlar AI.
Building a Trustworthy AI SOC
The most advanced SOC leaders know the real gold lies in hybrid architectures that combine the analytical power of LLMs with deterministic orchestration. This approach transforms LLMs from unpredictable copilots into reliable, production-grade SOC analysts.
