We talked with the CISO of a mid-market bank holding company that provides IT and security services to a group of community banks, some with only a handful of employees. His organization is a Gradient Cyber customer.
He's direct about why banks like his are in the crosshairs. Attackers, he told us, "are starting to really come after your midmarket companies more," on the assumption they'll be less protected than the major players.
Most of our conversation came back to one practical problem: a bank's systems produce a steady stream of alerts, and a small team has to decide, every day, which few actually matter.
When we asked how his team cuts through the noise, he split the question into two parts. They're related, but different risks.
Alert blindness is not knowing what you don't know. Something is happening, and nothing you have can see it.
Alert fatigue is the opposite. You see plenty, and the work is separating the signal from the noise.
The fixes are different, too. Blindness is a visibility problem: more of the environment has to be watched. Fatigue is a judgment problem: something has to decide what matters. His point covers both. You need a system with "visibility into everything you possibly can," plus the intelligence to tell normal activity from unusual.
Normal, in his framing, is specific. A good system establishes a baseline of what's normal "for this endpoint, this user, for this time of day," and flags what falls outside it. Then he offered plain examples:
"Impossible travel, logins after hours, accessing files they've never accessed before, all those sorts of things that require investigation. But [an] employee clocking in after lunch, that doesn't require investigation. That's normal."
What separates the two lists isn't the type of event. A login is a login. It's whether the event fits a pattern.
Each of those needs more information before anyone can really decide. The employee clocking in after lunch doesn't need further review. It's what that account always does.
Because the information needed to decide usually lives in another system.
A typical mid-market bank runs Active Directory for identity, firewalls at public-private edge points, and endpoint protection on servers and workstations. Each generates alerts in its own console, and each sees only its own slice of a bigger picture.
Take a sign-in at 3am from an unfamiliar location. On its own, it's ambiguous. Now add what other systems observed:
None of those is conclusive alone. But together they describe an account takeover moving through the network and possibly readying for data exfiltration.
That's the work he described handing off. Gradient Cyber takes in the alerts "from our Active Directory, from our firewalls, from our endpoint solutions," correlates them, and helps his team focus on the high-risk events. Because the banks he supports share a common network and data center, one service covers all of them.
Some of it, yes, and a smaller footprint helps.
His banks serve a regional market, and he uses that. "We don't have any customers or business from Europe, so we don't really have to worry about traffic from Europe," he said. Traffic from places the business has no reason to hear from gets blocked at the perimeter.
That reduces exposure, and it also removes a category of alerts nobody needs to review. A large international bank can't make that trade. A regional bank can.
Quorum AI ingests telemetry from identity, network, endpoint, SaaS and cloud sources, including Active Directory, firewalls and endpoint tools, and normalizes it to OCSF so events from different systems can be compared directly. It combines rule-based and behavioral detection, correlates activity across those sources, and treats unusual sign-ins such as impossible travel as identity scenarios to investigate.
What reaches your team is a SitRep: the supporting evidence, a severity, and prioritized actions. It also documents how each event was handled, which is what examiners and boards ask about.
Alert blindness is not seeing activity at all, because nothing is watching that part of the environment. Alert fatigue is seeing too much, and struggling to separate real threats from noise. One is a visibility problem, the other a judgment problem.
A sign-in pattern where the same account logs in from two locations too far apart to travel between in the time that passed. It's a common sign that someone other than the account owner is using the credentials.
Attackers assume they hold the same valuable data as larger institutions, with thinner defenses and smaller security teams.
Connecting related events from different systems, such as identity, network and endpoint, into a single picture of what happened. It turns several ambiguous alerts into one clear finding, or confirms they're unrelated.
Most alerts don't matter. Knowing which ones do takes a baseline of normal, and more than one system's view.