Protecting Sensitive Data in the Age of AI
Don't let the pace of AI innovation outrun your security posture
Data Protection for AI Risk
Explosive growth of both authorized and unauthorized AI tools is creating unmanaged risks for sensitive data. Organizations are struggling with Shadow AI, when AI tools are used without organizational approval or oversight. Protecting sensitive data requires a solution that addresses key AI data risks while empowering secure AI adoption.
Did you know ...
Data protection is at risk
00%
Of organizations reported GenAI use
in at least one business function, up
from 74% the year before.[1]
00%
Of organizations feel confident
in their ability to secure
generative AI models.[2]
$000,000
Average additional cost of
a data breach in security incidents
involving shadow AI.[3]
1. McKinsey, The state of AI in 2025: Agents, innovation, and transformation
2. Accenture, State of Cybersecurity Resilience, 2025
3. IBM, Cost of a Data Breach Report, 2025
Resources
From Shadow AI to Secure Adoption with Data Governance
This session explores how organizations can move beyond restricting AI use to create a secure environment where AI adoption is both strategic and safe across the data ecosystem.
From Shadow AI to Strategic Adoption
This e-book provides teams with a framework for creating an AI-aware culture that drives innovation while securing critical data.
Preparing for the AI Tidal Wave: Securing Critical Enterprise Data
The AI data risk tipping point has arrived. Learn how to transform AI from a potential data risk into a secure productivity engine.
AI Data Risk Posture Assessment
Evaluate your organization's readiness to manage AI-related data risks across Policy, Training, and Technology.
Trellix Data Security
As users take data with them on laptops, transfer files over email, share information on the web, create shared databases, and store information on networks, sensitive information is at risk for theft, misuse, and accidental exposure.
Three Phase Approach to Secure AI Adoption
Trellix recommends a unified, three-part framework that transforms AI from a potential risk into a secure productivity tool by integrating Policy, Training, and Technology. Our holistic approach empowers organizations to confidently embrace generative AI advances while keeping sensitive data under their visibility and control.
