From coverage and interviews with Ali Ghodsi and Erik Bradley on SiliconAngle theCUBE, it’s clear: the threat landscape isn’t moving at human speed anymore. AI-powered attacks exploit vulnerabilities in hours, not weeks. Legacy SIEMs and human workflows can’t keep up. As Ghodsi put it, organizations are now “fighting agents with agents.” Bradley echoed this: security tools need to live where your data lives, not as a product preference, but as a fundamental architectural requirement.

Lakewatch is an open, agentic SIEM built on the Lakehouse, designed to bring AI-powered detection and response to where enterprise data already lives. For leaders outside security, think of it as a system that monitors, detects, and responds to threats, but without moving data into yet another silo.

The attack surface for enterprise data has expanded far beyond traditional IT. Brand voice, CRM records, personalization engines, and customer communications are all strategic assets and now targets in a world shaped by AI-powered threats. Security is no longer just an IT problem. It is an enterprise data problem that impacts every function, including marketing.

Security failures don’t just create operational risk, they have immediate and measurable brand consequences. Research highlighted by Delinea and Security Magazine shows that 58% of consumers lose trust in brands following a data breach, and 70% say they would stop doing business altogether. The impact is not just reputational, companies experiencing breaches have seen customer churn increase by up to 7%, translating into millions in lost revenue. In a world where marketing performance is tightly coupled to customer trust and retention, security posture is increasingly a driver of brand health.