SIEM costs are spiraling out of control for organizations. Increasing log volumes, longer compliance-driven retention requirements, and the habit of collecting everything "just in case," the list goes on.

Traditional SIEM architecture forces painful choices between cost control and security visibility, with teams constantly fighting to keep log volumes down while still maintaining adequate coverage for investigations.

In this episode, Cliff Crosland, co-founder and CEO of Scanner, explains how their data lake approach can reduce SIEM costs by 80-90% while giving organizations full custody of their data in their own cloud storage. Joining him are Nick Espinosa, host of the Deep Dive Radio Show, and Howard Holton, COO and industry analyst at GigaOm.

In this episode:

• Data retention policies
• The fundamental challenge of managing growing log volumes over time
• How AI copilots are bridging the gap between security analysts and software engineers in detection workflows.

Huge thanks to our sponsor, Scanner

Traditional SIEMs are a tax on your security team—bloated, brittle, and budget-killing. Scanner.dev fixes this. Use it as your SIEM, or to supercharge the one you already have. Our AI co-pilot summarizes alerts, suggests next steps, and reduces noise—making analysts faster and smarter. See it in action at Scanner.dev.