Why AI Security Governance is Failing in 2026
Why AI Security Governance is Failing in 2026 73% of enterprises have AI in production without proper security controls Let me be blunt: enterprise AI security is a disaster waiting to happen. Afte...

Source: DEV Community
Why AI Security Governance is Failing in 2026 73% of enterprises have AI in production without proper security controls Let me be blunt: enterprise AI security is a disaster waiting to happen. After working with AI deployments at scale, I've seen the same mistakes repeated over and over. The Real Problem Everyone's rushing to deploy AI systems, but security is an afterthought. Sound familiar? It's the same pattern we've seen with cloud adoption, DevOps, and every other major technology shift. The difference? AI systems can make decisions that directly impact business operations, customer data, and regulatory compliance. When an AI model gets compromised, the blast radius is massive. What's Actually Happening In my experience building security for large-scale systems, here's what I'm seeing: Prompt Injection Everywhere: Teams are building AI features without understanding that prompts are code. Would you allow arbitrary SQL injection? Then why allow arbitrary prompt injection? Model Poi