SOC Survival Guide: Defeating modern adversaries with an AI-native SOC

Protectors are in a never-ending race against time to find and shut down threats. Today’s adversaries are faster and stealthier than ever, using legitimate tools to carry out lightning-fast, hands-on-keyboard attacks, while staying under the radar.

But security teams burdened with legacy tools struggle to match the speed of attackers. Security information and event management (SIEM) systems, once heralded as the single solution for incident response, have failed to fulfill their promise. As log volumes and sources proliferate, their poor scalability and high costs prevent teams from collecting and retaining all data in their SIEMs. Patchwork architectures of legacy SIEMs, data lakes and analytics tools have turned security analysts into data wranglers, wasting time pivoting between consoles and manually correlating data rather than attacks.

The complexities of the past impede teams’ ability to secure the future. SOCs must transform so their organizations can face the threat landscape of today and tomorrow.

This transformation requires the ability for protectors to collect and analyze more data from more sources at massive scale to see the entire life cycle of an attack. And they need to fuse their data with AI to better understand and correlate data, detect threats and accelerate investigation and response.

In this eBook, we define the vision of the fully realized AI-native SOC and provide insights and strategies on how to begin modernizing so security teams can survive and thrive in today’s dynamic environment.