Most people remember the classroom game Heads Up, Seven Up. Heads down. Eyes closed. A few people get tapped, and when it’s over, they have to guess who did it.
Most of the time, they guess wrong.
Not because they weren’t paying attention, but because there wasn’t enough signal to make a confident decision, and that dynamic shows up more often than we’d like to admit in cybersecurity.
This week’s headlines reflect a familiar pattern. Unauthorized access to reservation data at Booking.com without full account compromise. A potential supply chain path into Rockstar Games through a third-party analytics provider. A zero-day in Adobe Acrobat exploited through something as routine as opening a PDF. A breach tied back to gaps in basic security practices and training. Critical SAP vulnerabilities that could allow direct database manipulation if left unpatched.
None of these rely on loud or obvious behavior.
They rely on looking normal enough.
Attackers don’t need to be invisible. They just need to blend into expected workflows. A legitimate file. A trusted vendor. A routine user interaction. From a system’s perspective, nothing immediately stands out.
Just like that classroom game, decisions are being made with limited or low-confidence signals.
The challenge isn’t always visibility. In most environments, there’s plenty of data. Logs, alerts, telemetry across systems. The problem is that too much of it looks routine, especially when attackers operate inside those boundaries.
Precision is what turns visibility into decision-making.
Strong security programs don’t try to treat every signal equally. They focus on identifying the few signals that actually separate normal behavior from something slightly off.
That often shows up in places like:
- Subtle changes in authentication patterns
- Process behavior that doesn’t normally occur together
- Unexpected data access tied to otherwise valid sessions
- Third-party activity that falls just outside of baseline
These aren’t always obvious. But they’re consistent.
