As Agentic AI Adoption Accelerates, Rubrik Warns of Growing Security Gaps

Key Takeaways

• 86% expect AI agents to outpace security guardrails within a year
• Only 23% have full visibility into operational AI agents
• Identity sprawl creates a “shadow workforce” with persistent access
• 88% cannot roll back agent actions without disrupting systems

Pulse Analysis

The race to embed AI agents across enterprise workflows has accelerated dramatically in 2026, driven by promises of cost savings, faster decision‑making, and competitive advantage. Vendors tout autonomous tools that can write code, triage tickets, and even negotiate contracts, prompting CIOs to fast‑track pilots. Yet the underlying infrastructure—identity management, audit trails, and rollback mechanisms—has not kept pace. This mismatch creates a fertile environment for both inadvertent errors and deliberate exploitation, as malicious actors can hijack poorly governed agents to move laterally or exfiltrate data.

Rubrik’s survey of 1,600 IT and security leaders uncovers stark metrics: 86% anticipate agents will outstrip security controls within twelve months, while a mere 23% report comprehensive visibility into agent activity. The proliferation of non‑human identities—service accounts, API keys, and AI‑generated credentials—has birthed a “shadow workforce” that operates with persistent access and minimal oversight. Such identity sprawl expands the attack surface, allowing threats to bypass traditional perimeter defenses and embed themselves in core business processes. Moreover, 88% of respondents admit they lack the ability to roll back agent actions without causing system disruption, turning what should be efficiency gains into potential points of failure.

For boards and executive teams, the implication is clear: AI strategy must be inseparable from resilience planning. Organizations that prioritize speed over governance risk creating environments where incidents cannot be contained or reversed, jeopardizing recovery objectives and regulatory compliance. Mitigation requires a layered approach—enhanced identity verification, real‑time monitoring, and automated rollback capabilities—paired with a cultural shift that treats AI agents as critical assets rather than black‑box tools. As autonomous systems become the new norm, firms that embed robust security controls early will capture the productivity upside while safeguarding against emerging agent‑driven threats.