The AI Security Stack: What Enterprises Need to Secure From Weights to Workflows
Enterprise AI security is maturing fast. Many teams have already secured model hosting and implemented responsible AI checks. That is real progress. The next step is broader coverage: if AI can call tools, trigger workflows, and execute actions in external systems, risk extends beyond the model endpoint into the action layer. Safety and security are not interchangeable This is where executive confusion usually starts. AI Safety (Responsible AI) AI Security Focus: behavior and impact Focus: adversarial abuse and compromise Risks: bias, harmful outputs, policy violations Risks: prompt injection, exfiltration, privilege abuse Question: Is the system aligned and acceptable? Question: Can this system be attacked or manipulated? You need both. Treating one as a proxy for the other creates blind spots. ...