What's Happening?
Economic pressures and AI-driven job displacement are significantly increasing insider risk within U.S. enterprises. The technology sector alone saw approximately 245,000 layoffs in 2025, with broader
job cuts across various industries totaling over 1.17 million in the U.S. by November 2025. This environment of workforce instability is eroding employee loyalty and increasing grievances, leading to heightened risks of insider threats. The rapid deployment of AI tools and machine identities, such as APIs and bots, is amplifying these threats, as they can serve as conduits for both intentional and unintentional security incidents. Organizations are urged to apply insider threat frameworks to machine identities with the same rigor as human insiders to mitigate these risks.
Why It's Important?
The rise in insider threats poses significant challenges for U.S. businesses, particularly as they navigate economic pressures and technological advancements. The integration of AI and machine identities into the workforce, while offering efficiency gains, also introduces new vulnerabilities. Companies must balance the benefits of AI with robust security measures to protect sensitive data and maintain operational integrity. The potential for disgruntled employees to engage in data exfiltration or credential monetization underscores the need for comprehensive security strategies that address both human and machine threats. Failure to do so could result in financial losses, reputational damage, and regulatory penalties.
What's Next?
Organizations are likely to increase investments in security measures that address both human and machine insider threats. This may include enhanced monitoring systems, stricter access controls, and improved collaboration between HR and security functions to detect early signs of workforce volatility. As AI continues to proliferate, companies will need to develop governance frameworks that ensure machine identities are managed with the same diligence as human employees. Additionally, reskilling programs may be implemented to help employees adapt to AI-augmented roles, reducing resentment and potential insider threats.
