
AI is breaking traditional security models — Here’s where they fail first
Traditionally, enterprise security operating models operated a fixed and regular cycle: Findings surfaced through periodic scans, security teams triaged results and remediation followed through ticket-based workflows. It was almost an SOP of sorts; the accountability existed, but it was often implicit and fragmented. The remediation would travel across tools, teams and handoffs rather than designed into the system itself. The result? Your product was already live, your security teams had raised the alarms and moved on to identifying risk with the next big thing, but the remediation kept falling behind and your incident response teams kept getting busy with MSIs. That model held together lar...