The Problem: Volume That No Team Could Handle Manually

University networks are uniquely difficult to secure. Unlike a corporate environment where IT has tight control over every device and connection, a university network is intentionally open: students bring their own laptops, researchers connect from around the world, and the culture of academic freedom makes it impractical to lock things down the way a bank or government agency might. The security team at one large research university understood this trade-off. What they didn’t anticipate was how badly it would scale.

In a typical month, the security operations center received hundreds of reported incidents: malware detections, phishing attempts, compromised accounts, suspicious network activity, and a relentless stream of notices about copyright violations on the university network. Each one had to be reviewed, categorized, assigned to a team member, investigated, and resolved. Many incidents required coordination across multiple departments: networking, legal, academic affairs, and individual faculty or student contacts.

For years, the team managed this with email and shared documents. It worked, barely, until the volume of one particular type of request exploded. When streaming media became ubiquitous, so did automated notices from rights holders alerting universities to students using the network to download copyrighted content. These DMCA (Digital Millennium Copyright Act) notices arrived by the hundreds, each one requiring the university to identify the relevant account, notify the student, and document its response. Handling each notice manually took meaningful staff time, and the volume was only growing.

Something had to change. The team needed a way to handle the routine efficiently, so they could focus their energy on the serious incidents that genuinely needed expert attention.

“We were spending enormous amounts of time on low-level incidents that followed exactly the same pattern every time. That’s time we needed to be spending on the threats that actually required investigation.” — Security Operations Manager

Building a System for How Security Work Actually Works

The team deployed RT Incident Response (RTIR), a specialized version of Request Tracker designed for security work. The key difference from a standard helpdesk tool is that RTIR understands how security incidents are structured: a single attack might generate dozens of related events that need to be investigated together, and a response often requires coordinating across legal, IT, networking, and external contacts. RTIR is built to hold all of that together in one place.

The first priority was the copyright violation notices. The pattern was consistent enough to handle automatically: when a notice arrived, the system would identify the relevant information, create a record, look up the associated account, draft the required notification, and log the response, all without requiring a staff member to touch it. What had previously consumed hours of staff time each week was reduced to a brief review of what the system had handled on its own, with anything unusual flagged for human attention.

With the routine under control, the team turned its attention to more complex incidents. Compromised accounts, malware spreading across the network, and coordinated phishing campaigns each had their own structured response process in RTIR. When a new incident came in, it was immediately sorted and routed to the right person. Related incidents — the same piece of malware appearing on multiple machines, for example — could be connected so the team could see the full picture rather than treating each one in isolation.

Coordination with other departments improved as well. When an incident required legal review, or when a researcher needed to be contacted about suspicious activity on their account, RTIR tracked those handoffs. Nothing fell between the cracks because the whole team could see where each incident stood.

A Weekly Ritual That Changed How the Team Operated

One of the most valuable changes wasn’t technical at all: it was a new meeting. The security team began holding a weekly review where they looked at charts and reports generated from RTIR data: how many incidents had come in, how quickly they’d been resolved, which categories were trending up or down, and where the team’s time was being spent.

This kind of visibility had simply not been possible before. Individual team members knew what they had been working on, but no one had a clear picture of the whole. The weekly review changed that. When a particular type of incident started appearing more frequently, the team could see the trend early and investigate whether it was part of a larger pattern. When response times on a certain category of incident started slipping, the data surfaced it before it became a problem.

Over time, this feedback loop drove real improvements. When the data showed that a certain type of phishing campaign was consistently taking too long to resolve, the team redesigned the workflow for handling it. When automation was reducing DMCA processing time dramatically, they used the same approach on other high-volume routine incidents.

“The weekly review turned our data into a management tool. We stopped guessing about where problems were and started seeing them in real time.” — Security Operations Manager

What the Team Gained

The security team didn’t get smaller; they got more effective. The same number of people were now handling a larger volume of incidents, with better outcomes, because the system was doing the routine work and the humans were doing the work that required judgment.

For university leadership, the change provided something equally important: evidence. When the security team needed budget, or when an administrator asked how the university was managing its security obligations, there was now a clear, documented answer. The reports generated from RTIR showed response times, incident categories, resolution rates, and trends — the kind of information that supports both day-to-day operations and strategic planning.

The university still faces the same open-network challenges it always has. But now it has a system that can handle them, one built around the reality of how security work actually gets done.