Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CISOs beginning a new role, or changing sectors, can easily make the same mistake. They walk in with years of experience, see what’s broken, and start fixing. By the end of week three, they’ve opened too many tickets and asked too many people to change too many things. They are quietly draining the trust account they’ll need to draw on for the next few years. It’s an honest mistake. CISOs are often hired because something is broken. There is real pressure to demonstrate value.

Most CISOs can’t answer a simple question with confidence: are the controls protecting our most critical applications actually working right now? Not last quarter, or the last time someone ran an assessment, but right now. That’s not a failure of effort. Enterprise security teams run on thousands of applications. Each one carries contracts, regulatory obligations, and customer trust.

In large enterprises, the hardest security decisions are rarely made in the SOC. They are made in board meetings, budget reviews, audit discussions, customer escalations. The most dire are often represented in the moments when leaders have to decide what matters now, what can wait, and what risk the business is actually taking on. The real GRC problem is no longer how to manage more work. It is how to help the business make better decisions with higher confidence. CISOs do not need another workflow.

AI demos are easy. AI you’d actually trust near your control environment is not. If you’ve sat through a few of these pitches lately, you’ve probably landed on the same four questions every CISO we talk to is asking. And you’re right to ask them.

In previous Strategic CISOs sessions, I’ve spoken with security leaders from Andesite, IMO Health, and Cribl. They’ve built trusted programs where GRC functions as a business driver and customer assurance accelerates revenue. But every CISO I speak with is still fighting some version of the same fight. They have more obligations, more scrutiny, and more AI-related risk, but they do not have more people, more budget, or more hours in the day.