Proving Security’s Value in the Age of AI: Why CISOs Must Use CRQ to Compete for Budget

A CISO at a major fast-food retailer recently told me:

“No security investments will be approved unless I make the AI case. I need to show that each investment either enables our AI strategy or defends against AI threats.”

This is the new reality: security leaders are being squeezed between AI-driven threats and AI-driven board priorities.

The AI Squeeze on Security Leaders

Artificial intelligence is reshaping both sides of the security equation.

• Threats: Adversaries are already using AI to scale phishing campaigns and power fraud. One financial services firm was breached after attackers cloned customer voices with AI, forcing its CISO to rush investment into deepfake detection.
• Budgets: Boards are diverting capital into AI business projects, often with the expectation of a one- to three-year return. The irony? Many of these AI pilots are still struggling to produce results — yet they still outcompete security proposals.

This leaves CISOs in a battle for budget where AI is viewed simultaneously as a risk to defend against and a silver bullet worth funding at all costs.

Why Cyber Risk Quantification (CRQ) Is Essential

Gone are the days when shifting a risk heatmap from yellow to green was enough to justify spend. CFOs and boards now expect transparent, defensible financial cases for every dollar.

That’s where Cyber Risk Quantification (CRQ) comes in. CRQ translates technical risk into business and financial impact — the same language boards already use to weigh AI investments. When paired with Return on Security Investment (ROSI) models, CRQ allows CISOs to:

• Show how security investments reduce quantified financial risk.
• Compete head-to-head with AI initiatives by demonstrating ROI.
• Justify controls that directly defend against AI-driven threats.
• Identify and retire legacy spend that no longer provides value.
• Strengthen partnerships with CFOs and CAIOs by using common ROI logic.

Lessons from AI Investments

Executives expect AI projects to deliver payback in 1–3 years — and they are increasingly applying the same benchmark to cybersecurity. I’ve seen boards reject strong security proposals simply because they didn’t link to AI, rerouting funds into experimental analytics pilots instead.

The lesson is clear: if security leaders don’t quantify value, they lose budget. Boards don’t demand perfect forecasts, but they do require models that are transparent, defensible, and business-focused.

Moving Forward

AI has permanently raised the stakes. Security leaders who embrace CRQ and ROSI will be able to:

• Defend budgets against shifting AI priorities.
• Prove security is a strategic enabler — not just a cost center.
• Influence how organizations balance innovation with protection.

At Axio, we’re helping CISOs put CRQ into action — so you can clearly show the ROI of your security program and ensure investments align with both risk reduction and defense against AI.

Because in today’s environment, if you can’t prove it, you won’t get it.

Get a Demo Today.