A lot of companies see GenAI’s strengths—organizing logs fast, explaining alerts, doing retrieval & correlation—and want to plug it straight into security workflows. Makes sense: fewer manual triage steps, cleaner alert filtering, and even AI agents to help when your team is understaffed. But security consultants keep warning: “faster” doesn’t automatically mean “clearer.” When DevSecOps results stall, one big anti-pattern keeps showing up: responsibility gets pushed upstream… without the rules, capability, or governance to support it. Tools multiply, but decisions don’t improve. Common failure modes: 1) “Shift-left” becomes “shift-the-burden”—developers get training and tasks, not authority or judgment for evolving threats. 2) Tool sprawl without governance—SAST/SCA/IaC/container checks generate tons of data, yet no actionable strategy or closure. 3) Deployment gates turn into exceptions—major changes rely on special sign-off, blurring accountability. 4) Cloud/IaC automation creates handoff gaps—dev, ops, and security interpret risk differently, with no clear owner for end-to-end risk. GenAI can summarize, recommend, and even draft fixes—but governance, accountability, and traceable decisions must be built by the business. #DevSecOps #SecurityAutomation #GenAI #AppSec #Governance #CloudSecurity
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