Ask any CISO whether their team has silos, and the answer is always yes — followed immediately by a plan to fix it. Better tools. Better dashboards. More integration. Few ask why the silos come back after every fix.
The honest answer is that most silos aren't a communication problem. They're a rational response to how people get measured. And in security operations, where risk scores and compliance reporting stand in for what's happening, that response gets baked in fast.
What's actually driving the gap?
Security teams already understand this instinct, even if they've never called it a theory. Access control works by giving people only what they need, not everything they could use. Now point that same lens at information about how well security is actually working.
The instinct that makes least-privilege access smart is the same instinct that makes a manager cautious about broadcasting exactly how exposed their part of the business really is. It's not dishonesty. It's the same risk logic, aimed at reputation instead of systems.
4 reasons the gap keeps widening
1. Risk scores hide more than they show. Maturity models and compliance attestations exist for good reasons — they let leadership compare and track progress. But they're built to simplify, and simplified numbers can look fine even when the underlying environment isn't. Researchers call this pattern decoupling: the formal report and the operational reality drift apart, and the gap between them is exactly where silos grow.
2. The messenger gets blamed for the message. Flagging a gap between reported posture and real capability rarely earns credit. More often than not, it raises questions about the person who found it. Studies of workplace knowledge-hiding have documented this as a distinct, recurring behavior rather than an occasional lapse — teams learn quickly which discoveries are safe to share and which ones aren't.
3. Everyone's optimizing for their own metric. Analysts, engineers, architects, and managers all get measured differently, and all report up through different chains. Everyone is just protecting the number they're accountable for. Taken far enough, this competitive dynamic can turn destructive: research on comparative performance evaluation has found it can escalate into deliberate sabotage, not just harder effort, especially as the stakes between winning and losing widen.
4. AI speeds up reporting before it speeds up honesty. Automating dashboards and compliance work makes the abstraction layer faster and more polished, without necessarily making it more accurate. That's a real risk as more security operations lean on AI to keep pace with alert volume.
So can AI actually help?
Yes — but only if it's aimed at the right target. AI and large language models can already aggregate scattered documentation, cut the time it takes to contextualize an incident, and lower the cost of finding out what another team already knows. That's real progress.
None of it holds if the accountability structures underneath stay the same. AI adopted on top of an unchanged reporting structure just makes the existing silos faster and harder to spot. Closing the gap takes accountability that crosses team boundaries, evaluation criteria that reward catching problems instead of hiding them, and protection for the people who raise their hand first.
See how Unisys helps security teams close the gap between what's reported and what's real.
