Security teams are under pressure to move faster and make better decisions with the same resources. Over the past year, AI in security has shifted from something teams explore to something they are expected to use.
But adoption has not been consistent. Some teams now rely on AI to support investigations and surface insights faster. Others still struggle to apply it in a way that delivers real value.
In this on-demand webinar, Resolver’s Pooja Azhalavan, Senior Product Marketing Manager, and Sarah Pouramn, Solution Engineer, show how AI use in security changed over the past year — including where teams see results, where gaps remain, and what works in practice today.
Discover how AI fits in security operations today, including:
- Where AI delivers the most impact across investigations and response
- How teams use AI to prepare case summaries and connect related incidents
- Why some organizations accelerated adoption while others stalled
- What accountability looks like as AI becomes part of daily operations
AI does not replace judgment. It supports the structured, repetitive work that slows teams down — like pulling related incidents, organizing case data, and preparing summaries.
Teams are also starting to shift how they use it. Instead of working step by step, they define an outcome. AI then gathers data, connects context, and produces something closer to a finished result. That shift is changing how investigations start, and how quickly teams can move.
Watch the replay to see how security teams apply AI in practice and where to focus next.