The cost of being brought in late
When security is consulted after an AI system is designed and deployed, the cost of remediation is 6-10x higher than if security requirements had been built in from the start. We have seen enterprises spend $2M remediating data security issues in AI systems that would have cost $200K to address at design time.
What the CISO brings to the AI strategy conversation
Risk quantification — the ability to translate AI capabilities into expected loss scenarios the board can evaluate. Compliance mapping — understanding which regulatory frameworks apply and what they require. Control architecture — knowing which security controls need to be built into the AI system vs. applied at the network or endpoint layer.
The three moments where CISO input is most valuable
When evaluating AI tools for procurement — before the contract is signed. When designing AI-powered products — before the architecture is set. And when responding to AI-related incidents — when speed of containment determines magnitude of loss. Be present at all three.
How to earn the seat
Show up with solutions, not objections. Bring a risk framework that quantifies exposure in dollar terms. Propose security architectures that enable the business capability while managing risk. The CISOs who have the most influence in AI strategy are the ones who said yes to the capability and designed the controls alongside it.
The metrics that demonstrate value
Track the security requirements you identified that were incorporated into AI system designs. Quantify the expected loss reduction from security controls you recommended. Report AI-related incident metrics alongside traditional security KPIs. This evidence base is what transforms the CISO from a reviewer to a decision-maker in the AI strategy process.