Report: AI Risk & Readiness in the Enterprise
AI is revolutionizing the enterprise — but governance hasn’t caught up and the risk gap is widening. Based on insights from hundreds of security, compliance, and data leaders, the 2025 AI Risk & Readiness Report reveals some stark truths:
- 93.2% of organizations lack full confidence in securing AI-driven data
- 80.2% are unprepared for AI regulatory compliance
- 69.5% cite AI-powered data leaks as their top security concern, and 58.4% fear unstructured data exposure
- Only 6.4% of organizations have an advanced AI security strategy
From shadow AI to gaps in compliance, most organizations are flying blind — and exposed. This exclusive research report breaks down the current state of AI governance, outlines key risks, explores AI regulation and compliance, details pain points by industry, and provides actionable takeaways for your organization.

What's Inside: Zero in on AI Risk
The AI Risk Landscape Exposed: What Every Leader Needs to Know
- 69.5% of orgs cite AI-powered data leaks as their top concern
- 47.2% have no AI-specific security controls in place
- Only 6.4% have advanced AI security strategies
- AI adoption is underway, yet security controls are lacking. Enterprises need
to move beyond awareness to implementation—starting with visibility into how AI interacts with data.
Governance Gaps: Responsibility is fragmented, who's actually in charge?
- 21.9% of organizations report no clear ownership of AI governance
- Fragmented responsibility is stalling effective governance programs. Find out how you can get your data teams to start talking and connect the dots for unified data management.
Regulatory Readiness: AI regulation is underway, but are orgs prepared?
- 80.2% are unprepared for emerging AI regulations
- 54.9% say they’re “in progress” but lack clarity
- Only 15.9% have governance frameworks aligned with current laws
- New frameworks like the EU AI Act and NIST AI RMF are pushing enterprises to act
Unique Industry Challenges: See how your industry stacks up
- 62% of financial services firms lack AI-specific data protections
- 52% of healthcare orgs struggle with AI compliance
- 48% of retail companies have no visibility into how AI uses customer PII
- 42% of tech/SaaS orgs have no formal AI risk strategy, despite high adoption rates
The Missing Link in AI Risk, and How to Fix It
- 48.5% are concerned about shadow AI tools operating without oversight
- 58.4% fear unstructured data exposure through AI
- Shadow AI is already inside many orgs—and often goes undetected
- Lack of monitoring opens doors to rogue model behavior and compliance risk
To close the AI risk gap, organizations need scalable solutions. From securing the AI pipeline to implementing AI-aware classification and remediation, this report provides the insights and tools you need to manage risk and drive responsible AI adoption.
What you'll take away:
State of the Union
Dive into the current state of AI governance and risk, and understand where enterprises are most exposed.
Actionable insights
Close the gap between AI risk and innovation with clear, practical steps for your team.
Benchmark Data
See what hundreds of security, compliance, and data leaders are saying about their AI readiness and controls.
Regulatory Compliance
Get a breakdown of emerging regulations and how to prepare for compliance.
Industry Spotlights
Explore unique AI risk trends across finance, healthcare, tech, and retail.