Key Findings
91% of senior AI executives report their organization uses agentic AI through active pilot programs or full enterprise deployment.
49% of senior AI executives whose organization uses agentic AI say their governance framework has not been updated to include agentic AI requirements and risks.
72% of senior AI executives fear the inability to accurately trace or audit the data lineage and inputs that feed critical AI decision models.
89% of senior AI executives say they encountered AI-related risks in the past year.
52% of senior AI executives say they encountered cybersecurity risks as an AI-related risk in the past year.
9% of organizations that conducted a formal AI assurance review paused three-quarters or more of their AI systems.
36% of senior AI executives report their organization experienced an AI incident or failure that caused a materially negative impact, including data loss, financial damage, brand damage and operational disruptions.
81% of senior AI executives express fear of third-party AI-enabled cyber attacks.
85% of senior AI executives whose organization uses agentic AI say at least a handful of those systems execute actions without real-time human involvement.
72% of senior AI executives fear their organization failing to comply with new or emerging AI-specific regulations.
63% of senior AI executives express concern about a lack of internal expertise to implement AI governance controls.
98% of senior AI executives say their organization conducts a formal AI assurance review at least annually.
14% of organizations that conducted a formal AI assurance review had to modify three-quarters or more of their AI systems.
39% of organizations that conducted formal AI assurance reviews identify shadow AI as a common issue.
47% of senior AI executives say their organization previously did not apply its AI governance process for urgent deployments.
98% of senior AI executives report that their organization has formal AI governance policies in place.
26% of senior AI executives whose organization uses agentic AI report that their organization cannot detect unauthorized AI agents operating internally.
69% of senior AI executives express concern about a lack of internal expertise to effectively evolve AI governance controls.
47% of senior AI executives say they encountered human risk as an AI-related risk in the past year.
46% of senior AI executives say they encountered shadow AI risk as an AI-related risk in the past year.
29% of organizations that conducted a formal AI assurance review paused a quarter or more of their AI systems.
25% of organizations that conducted a formal AI assurance review fully stopped a quarter or more of their AI systems.
5% of organizations that conducted a formal AI assurance review fully stopped three-quarters or more of their AI systems.
57% of organizations that conducted formal AI assurance reviews identify data quality problems as a common issue.
48% of organizations that conducted formal AI assurance reviews identify AI model drift as a common issue.
75% of senior AI executives fear a high-profile AI failure publicly impacting their organization's reputation.
64% of organizations that conducted a formal AI assurance review significantly modified a quarter or more of their AI systems.