AI agents are becoming increasingly integral to everyday business operations, leading to a rise in non-human insider risks. These sophisticated tools have the potential to enhance productivity, streamline tasks, and dramatically improve operational efficiency. Given their transformative capabilities, the focus should not be on eliminating their use but rather on managing them with the same rigor and discipline that organizations apply to human identities, privileged accounts, and other critical technologies.
In an article released last week, practical risks associated with non-human insider threats were explored. Organizations are being encouraged to implement robust strategies to secure AI agents effectively. Outlined below are six actionable steps that security teams can deploy to mitigate these risks.
### 1. Start with Visibility
The foundation of securing AI agents lies in visibility. Organizations must first acknowledge the existence of these agents before they can secure them effectively. This entails maintaining a comprehensive inventory of all deployed AI agents. It is crucial to record not just who owns these agents but also the specific systems and data they have access to, along with the actions they are authorized to undertake. As business dynamics evolve, this inventory must be regularly updated to reflect new integrations and changing requirements.
### 2. Apply Least Privilege Aggressively
Applying the principle of least privilege is essential for granting AI agents access to only the resources necessary for their designated task. For example, an AI tasked with summarizing support tickets should not possess the ability to modify customer records or access sensitive financial information. By limiting credentials and permissions, organizations can reduce the potential impact — or “blast radius” — should an agent err, fall prey to manipulation, or behave unexpectedly. It is vital to approach least privilege as an ongoing effort instead of a one-time configuration.
### 3. Use Temporary Privileges Whenever Possible
Keeping permanent administrative access poses a significant risk, not only for human users but also for AI agents. When elevated privileges are necessary, access should be transient, granted solely for the specific task at hand and revoked automatically upon its completion. For particularly sensitive operations, an additional approval process or step-up control can be integrated to further enhance security.
### 4. Monitor Behavior, Not Just Authentication
A valid identity, whether human or AI, can still engage in harmful actions. Security teams must develop a clear understanding of what constitutes “normal” behavior for each agent. This includes awareness of typical systems accessed, data volumes retrieved, tools employed, and actions performed. Any noticeable deviations, such as unexpected data exports or unauthorized access to new systems, should trigger an investigation. Effective logging mechanisms should be in place, allowing organizations to review past activities, although discerning whether an action was appropriate remains a complex challenge.
### 5. Keep Humans Involved in High-Risk Decisions
While AI agents can assist in various tasks, human oversight remains crucial, particularly for high-stakes decisions. Major actions like large data exports, financial transactions, privilege adjustments, and customer-impacting changes should always involve human verification. This approach aims not to burden teams with excessive approval requirements for routine actions, but to ensure that someone evaluates potentially significant decisions before they become irreversible.
### 6. Build an Offboarding Process
AI agents do not vanish automatically when projects conclude. Often, forgotten agents retain credentials, integrations, and permissions long after their usefulness has expired. Organizations must therefore establish clear offboarding processes to disable inactive agents, revoke their credentials, disconnect associated tools, and ensure that relevant audit records are preserved. This proactive approach safeguards against lingering vulnerabilities.
While AI agents may lack human attributes, they should still have designated ownership, clear responsibilities, and comprehensive identity life cycles. As their autonomy continues to grow, the corresponding security controls governing their use must evolve and mature in complexity and robustness.
The necessity of these measures cannot be overstated, as organizations navigate the complexities of an increasingly automated environment. As articulated by Erich Kron, CISO Advisor at KnowBe4, the comprehensive strategies outlined must be adopted to mitigate risks associated with non-human insiders. Companies looking to bolster their security features should consider these recommendations to navigate the landscape efficiently.
For more insights, readers are encouraged to explore the full blog on this topic by Erich Kron, available at KnowBe4. Addressing non-human insider risks is paramount for organizations aiming for secure and efficient operations in an evolving technological landscape.