You’ve secured the network, the endpoints and the cloud. Now the business has deployed AI everywhere — and the attack surface just moved.
For CISOs, AI is a new class of risk that doesn’t fit old models. It’s not a device, a server or an application. It’s a system that can be prompted, poisoned, exfiltrated and — increasingly — trusted with actions. Governing it is now a core security responsibility.
Score risk before you secure it
Not every model deserves the same level of protection. Score each AI system by business impact, data sensitivity, autonomy and exposure. A public chatbot touching marketing content is low risk; an agent with access to customer records is high risk. Risk scoring tells you where to spend your scarce security budget.
Protect the assets that matter
- Models — against theft, extraction and poisoning.
- Data — against exposure through prompts, outputs and training.
- Credentials — against agents and tools that over-reach.
- Infrastructure — the runtime your AI depends on.
Enforce, don’t just document
The gap between policy and reality is where breaches happen. Runtime enforcement — controls that apply dynamically based on policy, risk and context — closes that gap. And when something does go wrong, you need the evidence trail to investigate and prove what happened.