Report

Securing the GenAI Era

Generative AI is becoming operational infrastructure across the enterprise and is no longer an experimental capability.

New research from ISMG (sponsored by OneTrust) reveals that organizations are rapidly integrating GenAI into core business workflows, but governance, visibility, and operational readiness are struggling to keep pace. As AI adoption accelerates, many organizations are facing growing gaps between defined governance policies and the ability to operationalize and enforce them consistently at scale.

Illustration of a report with an image of a woman at a computer on it atop a multi gradient green background

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Details:

Based on insights from cybersecurity, IT, and business leaders, this report explores how AI risk is evolving from model-centric concerns to operational realities driven by employee behavior, sensitive data exposure, shadow AI, adversarial threats, and autonomous AI agents. The findings highlight why the next phase of AI adoption depends not just on deploying AI, but on building the systems needed to govern it effectively.

Key Findings:

63% of organizations report GenAI is already in production or fully integrated
Only 15% report AI governance that is centrally defined and operationalized
48% cite employee-driven sensitive data leakage as their top AI concern
65% lack complete visibility into AI usage and shadow AI activity
46% report AI-generated social engineering attacks at scale
59% are deploying or planning to deploy autonomous AI agents