A Practical Path to Cybersecurity Maturity in Higher Education
Six Steps to Build More Sustainable Cybersecurity in Higher Education
Colleges and universities are balancing growing workloads, increasing technology complexity, staffing challenges, and continued budget pressure. EDUCAUSE has described these conditions as contributing to a “cycle of reactivity,” in which immediate needs consume the time and resources institutions need to make sustained progress.
That cycle is especially difficult to break in cybersecurity. EDUCAUSE named Collaborative Cybersecurity the #1 issue on its 2026 Top 10, reflecting the need for shared responsibility and stronger access to security services and support across the institution. Higher education environments support a diverse mix of administrative platforms, instructional technologies, research applications, legacy systems, cloud infrastructure, and user-managed devices. Responsibility for those systems may also be distributed across campuses, departments, schools, and research teams. Combined with the valuable personal, financial, institutional, and research data they hold, that complexity makes colleges and universities attractive targets for cybercriminals.
Cybersecurity maturity can feel like it requires institutions to eliminate that complexity before meaningful progress can begin. In practice, maturity is built by developing a sustainable way to define security expectations, adapt them to the institution, enforce them consistently, and maintain them as the environment changes.
The following six steps can help colleges and universities build that model within the realities of their existing environments.
- Establish a Clear Security Baseline
Cybersecurity maturity begins with a defined standard for how systems should be configured and protected.
CIS Benchmarks provide consensus-based security configuration recommendations for commonly used technologies. They give colleges and universities a practical foundation for establishing secure configurations across operating systems, cloud platforms, databases, applications, and other technologies within the institution.
A clear baseline creates a shared understanding of what secure configuration should look like. It also gives teams a consistent standard against which systems can be assessed, findings can be prioritized, and progress can be measured.
- Adapt the Baseline to Institutional Needs
Higher education institutions cannot always apply generic security guidance without modification. Research applications, instructional technologies, legacy platforms, and administrative systems may require different configurations or documented exceptions.
The goal is to create an approved baseline that reflects both security objectives and operational realities. That means evaluating recommended controls, documenting necessary deviations, and establishing policies appropriate for different technologies and system groups.
With the right policy-management capabilities, institutions can customize CIS Benchmarks while maintaining visibility into what has changed, why it was changed, and which systems should be measured against each approved policy.
- Create Consistency Across Distributed IT Operations
Colleges and universities frequently distribute technology ownership across campuses, departments, schools, and research teams. Cybersecurity maturity does not necessarily require eliminating that model.
It does require shared policies, clear governance, and a reliable way to apply approved configurations throughout the environment.
Centralized policy management can give security teams greater control over institutional standards while allowing different groups to operate within policies appropriate for their systems. This creates consistency without assuming that every technology, department, or campus has identical requirements.
- Use Automation to Expand Team Capacity
When skilled personnel are limited, repetitive configuration work can keep teams focused on immediate needs instead of long-term improvement.
Manually reviewing findings, writing remediation scripts, validating changes, and documenting results takes time. That work must also be repeated as systems, applications, and security guidance change.
Automating policy deployment, scanning, remediation, and validation can reduce that recurring workload. Existing personnel can manage secure configurations across more systems while devoting more attention to the security priorities that require their expertise.
Automation does not replace the institutional knowledge or judgment of IT and security professionals. It helps teams apply that knowledge more efficiently and consistently.
- Make Security Continuous
Initial hardening provides only a point-in-time result.
Software updates, new applications, approved exceptions, administrative changes, and routine maintenance can gradually move systems away from the institution’s secure baseline. Without an ongoing process for identifying and correcting that drift, confidence in the baseline weakens over time.
A mature program continuously validates configurations against the institution’s approved policies, identifies drift, and restores alignment before gaps accumulate. Regular enforcement turns secure configuration from a periodic project into an ongoing operational practice.
- Measure Progress and Improve Over Time
Institutions need visibility into where policies have been deployed, which systems remain aligned, what has changed, and where additional attention is required.
Centralized reporting helps teams identify recurring issues, prioritize action, and demonstrate progress. It can also reveal where a baseline needs to be updated, where an exception should be reviewed, or where additional resources may be necessary.
Cybersecurity maturity then becomes something the institution can monitor and strengthen over time rather than an abstract destination it either has or has not reached.
Build Maturity into Everyday Security Operations
Cybersecurity maturity is not defined by the size of an institution’s team or the absence of operational complexity. It is reflected in the institution’s ability to establish trusted baselines, adapt them responsibly, enforce them consistently, and sustain them as systems change.
These practices become more difficult when institutions rely on disconnected tools and manual processes for policy management, scanning, remediation, validation, and reporting. Bringing that work together through unified automation can help teams strengthen baseline security while making more effective use of the staff and technology they already have.
SteelCloud’s ConfigOS helps colleges and universities operationalize CIS Benchmarks by unifying policy customization, scanning, remediation, continuous enforcement, and reporting in one platform. Its agent-based architecture supports automated enforcement across managed endpoints, including systems that operate in distributed or intermittently connected environments.
Cybersecurity maturity still takes strategy, governance, and sustained institutional commitment. ConfigOS helps make the configuration-security portion of that work more scalable and sustainable.
Ready to build a more sustainable approach to CIS Benchmarks security?
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