Risks of Artificial Intelligence Adoption Beyond Human Control
The Hidden Risk of Non-Human Identities in AI Adoption
As artificial intelligence (AI) becomes increasingly integrated into business operations, a concerning trend has emerged: non-human identities (NHIs) gaining persistent, unsupervised access to critical systems.
This phenomenon raises red flags within security teams, who recognize that such broad, unchecked access poses significant risks.
Traditional Service Accounts and API Keys Not Alone
Traditionally, security teams have focused on managing service accounts and API keys, but AI agents that make autonomous decisions, automated workflows with cross-system access, and shadow AI tools deployed by business users are also part of this group.
Discrepancy Between Security Confidence and Reality
A recent survey reveals that nearly half of organizations admit that their AI identity governance is deficient, despite claiming to be ready for AI adoption at scale.
The Three Primary Factors Contributing to the Discrepancy
The discrepancy stems from three primary factors:
- Prioritizing Speed Over Governance: Business pressures force security teams to relax access controls, allowing NHIs to operate outside traditional provisioning processes.
- Poor Monitoring of Shadow AI: Security teams struggle to detect and monitor shadow AI activities, creating a perfect storm of increased risk.
- Unchecked NHI Activity: Many organizations lack effective measures to track and control NHI activity, making it difficult to identify potential threats.
Risks Associated with Non-Human Identities
In fact, 53% of surveyed organizations regularly encounter unauthorized AI tools and agents accessing company systems. Furthermore, 74% of organizations believe that standing access for NHIs and AI agents is necessary to meet uptime expectations, while 59% lack viable alternatives to persistent access for these accounts.
“According to a recent survey, nearly half of organizations admit that their AI identity governance is deficient.” – Security expert
Closing the AI Identity Risk Gap
To address these challenges, organizations must establish a clear inventory of NHIs, their access levels, and the necessity of that access. This visibility is crucial for risk-based decision-making and governance efforts.
JIT Access and Ephemeral Credentials
Just-in-time and ephemeral access should be the goal, even if they’re not immediately achievable. Long-lived credentials are more commonly used, but modern just-in-time authorization is still relatively rare.
Mitigating Risks Associated with NHI Access Reviews
Organizations should watch for NHIs requesting elevated privileges unexpectedly, flag accounts with no clear owner or business justification, and treat NHI access reviews with the same rigor applied to human access reviews.
Automated Discovery Tools and Real-Time Governance Frameworks
Ultimately, organizations need automated discovery tools that can map machine identities across cloud and hybrid environments in real-time. Governance frameworks must operate at speed without introducing unnecessary friction, forcing teams to bypass strict oversight.
By acknowledging and addressing the risks associated with non-human identities in AI adoption, organizations can strike a balance between innovation and security.