AI-READY BY 2026: TREAT GOVERNANCE AS INFRASTRUCTURE
OneTrust’s 2026 Predictions and 2025 AI-Ready Governance Report say governance is lagging AI adoption: 90% of advanced adopters and 63% of experimenters report ...
OneTrust’s 2026 Predictions and 2025 AI-Ready Governance Report say governance is lagging AI adoption: 90% of advanced adopters and 63% of experimenters report manual, siloed processes breaking down, with most leaders saying governance pace trails AI project speed. The shift is toward continuous monitoring, pattern-based approvals, and programmatic enforcement with human judgment only where it matters. Enterprises are embedding controls across privacy, risk, and data workflows to handle micro-decisions by agents, automation pipelines, and shifting data flows.
Manual reviews can’t match AI speed; embed continuous, automated controls.
Third-party and shadow AI features create data flow blind spots and compound risk.
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Prototype policy-as-code checks in CI for LLM/API usage, data access, and model deployment.
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Set up continuous monitoring pipelines for model outputs, data lineage, and agent actions with alerting and audit logs.
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