Cybersecurity in higher education

Cranfield University is a UK postgraduate institution specializing in science, engineering, technology, and management. It’s one of the largest providers of master’s-level engineering graduates in the country, and its research partnerships with global industry and government are central to its operations. Those partnerships come with strict security expectations, meaning partners entrust Cranfield with sensitive research data, and the university must demonstrate it can protect that data.

“We receive substantial income from research where our business partners entrust us with sensitive information,” says Luke Whitworth, network specialist at Cranfield University. “They have strict security requirements that we must meet without fail.”

As Cranfield’s partner portfolio grew, so did the compliance burden. Due diligence questionnaires were becoming more detailed, and the university needed to demonstrate a mature, auditable SIEM capability.

Beyond compliance, the team needed better visibility. With infrastructure spanning on-premises systems and cloud environments, logs were scattered across disparate sources, and their system was largely manual and decentralized. The operational overhead of maintaining an on-premises Elasticsearch cluster was consuming time the team simply couldn’t spare. Meanwhile, the threat environment facing UK universities — including ransomware, brute-force attacks, and zero-day incidents — was evolving quickly. 

Key security concerns at Cranfield University

• Safeguard networks, data, and devices for thousands of global students.
• Provide a secure and resilient connection experience across a network of private student and faculty devices.
• Secure against potential attacks on activity from private tools to cutting-edge research.
• Maintain public trust to protect revenue from partnerships with global businesses.

By partnering with Elastic, Cranfield University streamlined its decentralized security framework. Without disrupting its infrastructure or interrupting the thousands of students connected to its network, Elastic provided a solution with minimal outlay on licences and external support. One-click upgrades provided flexibility while reducing the burden of an on-premises solution. Crucially, Elastic also provided a mature SIEM to accelerate compliance with its business partners.

Other outcomes of modernizing cybersecurity with Elastic included:

• Streamlined compliance: A mature, auditable SIEM satisfies partner due diligence requirements to maintain UK government Cyber Essentials scheme certification.
• Unified visibility: On-premises and cloud logs flow into a single stack for a consistent view of the threat landscape across all environments.
• Reduced operational overhead: Eliminating the burden of managing on-premises infrastructure freed the team to focus on higher-value tasks — particularly improving security over just maintaining systems.
• Automation-ready platform: Integrating with Tines enabled automated alert triage and response workflows, reducing manual workload and accelerating incident response.

Cranfield’s move to Elastic Security reflects a broader shift taking place across higher education. As security teams grapple with increasingly complex environments, many are replacing fragmented tools with platforms that provide a more complete view of their data. Visibility itself is a critical advantage. Read the full customer story.

The University of York is a research-intensive UK university with more than 22,000 students across more than 30 departments. Its IT infrastructure reflects the hybrid reality of modern higher education, with productivity and collaboration tools on Google Cloud, workloads running on AWS and Azure, and a significant on-premises footprint spread across two data centers. A small cybersecurity team is responsible for defending it all. The stakes are high, with personal data, academic records, and research systems that need to be both secure and accessible around the clock.

The University of York’s SIEM platform couldn’t keep up with the university’s diverse, multi-cloud environment, and its performance under load had become a liability. Queries that security operations needed quickly were taking hours to return results. Delays like these are especially costly when the detection speed directly determines the severity of impact.

The platform’s licensing model also limited the team’s ability to adopt new capabilities to meet changing requirements. As threats evolved and the university’s infrastructure expanded, they needed a solution that could scale with them.

“We were already using Elasticsearch for logging, and there were several members of the team who were familiar with the technology, making it a strong candidate,” says Rob Hurt, head of cybersecurity at the University of York. Following further evaluation, Elastic Security proved to be “the best SIEM match for the organization when it came to the technology roadmap and overall value for money.”

After a pain-free deployment process, the University of York can conduct faster detection and response with streamlined query tools that don’t require time-consuming optimization to work efficiently. Faster searches and more efficient operations allow their security teams to expand the number of Elastic Security use cases just as effortlessly.

Other outcomes of modernizing cybersecurity with Elastic included:

• Query times reduced from hours to seconds: Faster investigation and response time helped teams stay within internal Service Level Agreements without compromising on depth.
• Simple migration in three months: Seamless migration with Elastic’s consulting team ensured continuity throughout.
• Expanded security without added costs: Built-in detection rules, SOAR automation, and enterprise features accelerated SOC development without additional procurement.
• Automated Microsoft license optimization: A custom Kibana-integrated script reduced operational costs on an ongoing basis.

University of York’s migration demonstrates the value of a platform built for the realities of modern university security. With visibility across its hybrid environment and new capabilities delivered over time, the team can identify and respond to threats before they become real incidents and provide holistic services to their students. Read the full case study.

This highly ranked European university has operated for nearly two centuries, combining award-winning research with bilingual instruction across dozens of internationally recognized research teams. It serves more than 17,000 students representing over 100 nationalities, in addition to roughly 3,350 staff members. Its open, internationally connected environment is central to its academic mission. But it’s also a significant factor in its exposure to cyber risk.

The university’s existing security tools couldn’t provide what its leadership needed most: a unified view of the institution’s security state. Legacy applications operated in silos, leaving the team without the cross-environment visibility required to detect and respond to advanced threats. There was no central place to correlate signals and no consistent way to identify weak spots. Even if a threat was verified, they lacked the rapid-investigation infrastructure to figure out what went wrong.

The stakes were real. A campus serving tens of thousands of students and staff across a diverse research environment holds substantial personal data, proprietary academic work, and systems that support day-to-day operations. Downtime or a breach would disrupt research and jeopardize the university’s reputation.

The university chose Elastic Security as the foundation for its newly formed SOC. The key capabilities that made Elastic stand out were its depth of out-of-the-box functionality, machine-learning-powered threat detection, and the speed with which a small team could get it operational. 

A single university administrator completed Elastic training and deployed the SIEM without requiring a large technical team or a lengthy implementation program.

Elastic Security gave the SOC immediate access to detection rules aligned to the MITRE ATT&CK framework, real-time monitoring, and the ability to ingest data from across the estate — endpoints, firewalls, identity and access management, business applications, and operating systems — through a single platform. On-call engineers can now receive alerts remotely and investigate via rapid search, machine-learning-based event detection, graph-based relationship analysis, and custom visualizations, all without needing to be on campus.

Shortly after deployment, machine learning (ML) detected an external attack on a university WordPress site — a password-cracking attempt that, left undetected, could have allowed attackers to tunnel into the broader campus enterprise. The previous toolset would have been blind to it.

“Elastic Security is detecting anomalies and cyber threats in our environment with remarkable speed and accuracy thanks to robust machine learning,” says the university’s chief information security officer. “For our population of more than 17,000 students and about 3,350 staff, their digital experience is protected by Elastic so that everyone enjoys access in a risk-mitigated environment.”

Elastic Security enabled faster detection and response to deliver speedy results without sacrificing accuracy. The university reduced its risk with real-time monitoring and a scalable system that optimizes rather than overwhelms.

Other outcomes of modernizing cybersecurity with Elastic included:

• SOC established by a single administrator: One administrator established a fully operational SIEM without a large implementation resource.
• Active attack detected and stopped before escalation: Machine learning identified a password-cracking attempt on a university web server before attackers could cause significant damage.
• Unified visibility across the full environment: Endpoints, firewalls, identity systems, and business applications feed into a single platform.
• 24/7 remote investigations: On-call engineers can trace and respond to incidents from anywhere using search, ML detection, and graph-based analysis.

Establishing a fully functional, response-ready SOC was a serious step for a university that previously had no system in place. It’s also proof of what modern security tooling makes possible. Elastic Security gave a small team the capability of a much larger operation, transforming fragmented legacy visibility into institution-wide defense. Read the full case study.

The Texas A&M University System is one of the biggest higher education systems in the United States, serving the nation’s second-largest student population. Its cybersecurity operations team protects 11 universities, 8 state agencies, emergency response organizations, and some of the world’s leading engineering research facilities. That scope makes Texas A&M a target of cybercriminals and state-sponsored groups looking to target valuable research and critical public services.

The Texas A&M University System’s security analysts faced an uphill battle. Threat data lived across multiple security products, each with its own query language and interface. Investigations that should have taken minutes required complex navigation between systems, translating queries, and manually piecing together information before analysts could take action.

Against an advanced threat environment, this situation was not sustainable. 

“We have thousands of students and users, all with their own devices. It’s a massive threat surface for ransomware and phishing attacks that threaten to disrupt operations or extort money,” says Braxton Williams, security analyst at The Texas A&M University System Offices. 

Underpinning all of it was the responsibility to keep emergency response systems online and uncompromised. “Our mission is to safeguard data across all our members, maintain high availability for emergency response services, and ensure that research for all our stakeholders and federal partners is delivered uncompromised.”

The Texas A&M System selected Elastic Security to replace its fragmented toolset, deploying it automatically across all universities, agencies, emergency response teams, and research organizations. 

“Instead of several security products and portals, we now have one interface for all our security analysts. It gives them every tool that they need to investigate and remediate security incidents,” says Williams. “We have 30 days of data from 25,000 endpoints, including device telemetry, phishing data, and threat intelligence data. With Elastic, everything we need is just one query away in a common language with a single schema.”

The team chose Elastic Security specifically for endpoint. As Williams describes, “It doesn’t just alert you to something bad; it empowers you to do something about it, fast.” Elastic Security also automated documentation and other routine security processes, freeing the team to focus on higher-value investigations and responses.

The results were immediate. Texas A&M experienced two near-identical attacks from the same adversary, before and after Elastic. The first incident took months to detect and two more weeks to contain. The second, two years later, was shut down completely and mitigated within mere hours, representing an 11,000% acceleration compared with the previous response time.

Elastic Security streamlined the University’s operational workflow to dramatically reduce the time spent on manual tasks with automation. More efficient systems are more secure systems, allowing for faster detection and response at a manageable price for a high-volume institution.

Other outcomes of modernizing cybersecurity with Elastic included:

• 99% reduction in incident resolution time: Incidents take only hours to resolve, directly reducing risk exposure.
• 100+ analyst hours saved every month: Automated documentation and routine security processes let the team focus on detection and response.
• 25,000 endpoints under unified protection: All universities, state agencies, and emergency response organizations are now covered through a single platform.
• Rapid integration of new security capabilities: The team can adopt new features without additional integration work.

For Texas A&M, the result is a security team that can move faster and operate more effectively, helping protect the institutions, agencies, and emergency services that rely on it every day. Read the full case study.