The AI Governance Crisis Is Here
Organizations have entered a new period of AI turbulence driven by ungoverned AI agent sprawl. As enterprises race to deploy autonomous agents and AI-driven workflows, data exposure risks have exploded—from sensitive PII/PHI leakage to uncontrolled model access across multiple clouds.
The challenge? AI operates at machine speed. Security operates at human speed.
What's Inside This Gartner Report
The latest Gartner® Predicts 2026 research reveals four critical strategic planning assumptions every security leader needs to understand:
AI Agent Abuses Will Spike
Through 2027, costs from task-driven AI agent abuses will be 4x higher than those from multiagent systems.
AI Data Debt Is Mounting
Through 2030, one-third of IT work will focus on remediating AI data debt to secure AI implementations.
Testing Gaps Create Exposure
By 2028, organizations skipping preproduction offensive testing will face twice as many cybersecurity incidents.
Compliance Delays Are Coming
By 2029, vendor noncompliance with explainability requirements will delay 50% of critical cybersecurity deployments.
Why Security Leaders Are Reading This Now
This report provides actionable recommendations for:
- Inventorying high-risk AI agents based on data access and autonomy
- Securing AI projects without slowing innovation
- Planning for evolving AI regulatory requirements
- Managing the scale of AI security response across your organization
Download your complimentary copy to understand how preemptive, autonomous security can match the speed AI brings to your operations.
Gartner, Predicts 2026: Secure AI Agents to Avoid Ungoverned Sprawl and Abuses, 17 December 2025, Jeremy D'Hoinne Et Al.
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