Governance Gaps Emerge as AI Agents Drive 76% Increase in NHIs

Why It Matters

Uncontrolled growth of AI‑driven NHIs creates a privileged‑access explosion that outpaces existing security controls, heightening breach risk for the entire industry.

Key Takeaways

• 76% of firms see NHIs grow, driven by AI agents
• 92% don’t rotate machine credentials every 90 days
• 59% rotate fewer than half of NHI credentials quarterly
• Only 40% use human‑in‑the‑loop approvals for AI actions
• SANS urges secrets vaults, automated rotation, least‑privilege access

Pulse Analysis

The rapid adoption of agentic AI is reshaping how enterprises manage non‑human identities. According to the 2026 SANS State of Identity Threats & Defenses Survey, 76 % of organizations report a surge in service accounts, API keys, and automation bots, many of which are tied to AI agents that require privileged credentials. Unlike static service accounts, these agents interpret instructions and can act unpredictably, effectively becoming over‑privileged insiders that operate at machine speed. This shift introduces a new attack surface that traditional identity‑centric controls were not designed to protect.

Survey results expose a stark governance gap. While 92 % of respondents admit they do not rotate machine credentials on a 90‑day cycle, 59 % rotate fewer than half of their NHI credentials quarterly, and 15 % cannot even report a rotation rate. Manual access reviews and ticket‑based provisioning cannot scale to the volume and velocity of AI‑driven NHIs across DevOps, cloud, and SaaS environments. Consequently, organizations risk credential sprawl, privilege creep, and exposure to hallucination‑induced actions that can bypass existing safeguards.

SANS recommends a three‑pronged defense: deploy secrets vaults, automate credential rotation, and enforce scoped least‑privilege access for every AI agent. Automating these processes aligns rotation cadence with the speed of machine operations and reduces human error. Forrester’s warning that an agentic AI breach will be publicly disclosed by the end of 2026 underscores the urgency of adopting a “minimum viable security” posture now. Enterprises that embed governance into AI pipelines early will avoid costly incidents and maintain compliance as AI moves from pilot projects to core business functions.