Artificial intelligence (AI) is bringing rapid transformation to the education sector. From students using it as a writing assistant, to administrators exploring automation for improved operational efficiency, there has certainly been a paradigm-shift.
Security teams should be acutely aware that these actively evolving use cases carry massive security risks across facilities. AI tools can significantly expand the attack surface at your institution.
Maintaining control has never been more important, with educational facilities already having struggled with breaches from phishing attacks, identity abuse, shadow IT, and ransomware that could be directly attributed to AI usage.
The growing challenge of AI in education environments
Educational organizations, by necessity, operate in a highly open environment. A plethora of end users, from students to faculty, require access to a wide range of applications and systems. AI tools complicate that reality further.
It’s common for users to have access to hundreds of AI applications with little oversight. Many employees and students are experimenting with AI agents, browser extensions, coding assistants, and automated workflow tools without formal approval from IT administration.
This creates several concerns:
- Sensitive student or research data may be uploaded to external AI services.
- AI-generated code may introduce security vulnerabilities.
- Unauthorized AI tools can become part of the institution's technology stack without review.
- AI-powered automation can perform actions at scale if a user account is compromised.
From AI tools to agentic AI
The next evolution of AI introduces an even greater challenge: agentic AI.
Unlike traditional AI assistants that respond to prompts, agentic AI systems can take actions on behalf of users. These systems may access files, connect to applications, interact with cloud services, execute workflows, and make decisions based on predefined objectives.
For educational institutions, potential use cases include:
- Research assistants that gather and analyze information
- Student service automation
- Administrative workflow automation
- AI-powered tutoring systems
- Campus operations management
While these capabilities can improve efficiency, they also increase risk.
An AI agent with access to institutional systems can potentially perform thousands of actions in minutes. If that agent is misconfigured, over-permissioned, or operating under a compromised identity, the impact can be significant.
Why traditional security controls are not enough
Many organizations attempt to manage AI risk through acceptable use policies, user training, or application blocking. While these measures have value, they do not address a fundamental issue: Once an application is allowed to run, what prevents it from accessing resources it shouldn't?
Similarly, if an attacker compromises a user account, traditional identity controls may still allow unauthorized activity to occur. As AI adoption grows, educational institutions need controls that go beyond simply identifying users or approving applications.
They need to control what applications can do.
Applying Zero Trust principles to AI
A practical Zero Trust approach can help educational institutions adopt AI safely while reducing risk.
Rather than assuming every approved application should have broad access, Zero Trust focuses on enforcing explicit controls over execution, access, and behavior.
This includes:
Controlling which AI applications can run
Not every AI application should be allowed in an educational environment.
Application Allowlisting enables IT teams to approve trusted AI tools while preventing unauthorized or unvetted software from executing across campus systems.
This helps reduce shadow IT and limits exposure to potentially risky applications.
Restricting what AI applications can access
Even trusted AI tools should not have unrestricted access to institutional resources.
By enforcing granular controls around data access, network communication, and system interaction, institutions can prevent AI applications from accessing sensitive information beyond their intended purpose.
Limiting the impact of compromised identities
Educational institutions increasingly face identity-based threats, including phishing scams, credential theft, and fraudulent account activity.
If an attacker gains access to a user account, Zero Trust controls can help limit what applications, processes, and systems can be accessed, reducing the potential impact of the compromise.
Containing agentic AI activity
As agentic AI systems become more common, institutions need visibility into how automated agents interact with their environments.
Controlling execution paths, network connections, and application behavior can help prevent AI agents from performing unauthorized actions or moving laterally across systems.
Balancing innovation and security
The goal is not to prevent AI adoption. Educational institutions benefit enormously from innovation. AI can improve learning outcomes, accelerate research, and increase operational efficiency.
The objective is to create guardrails that allow innovation to happen safely.
By applying practical Zero Trust controls, institutions can embrace AI technologies while maintaining oversight of how they behave within the environment.
The future of AI in education
AI adoption will continue to accelerate, and agentic AI will likely become a standard part of academic and administrative workflows. Institutions that establish strong governance and security controls today will be better positioned to benefit from these technologies tomorrow.
Instead of asking whether AI belongs in education, the question should be whether your institution has the visibility and control needed to use it securely.
