Company brings together policy, visibility, and enforcement in a unified framework to help customers control how data is used across both sanctioned and shadow AI.
Trellix announced enhanced data security capabilities and a strategic framework designed to help organizations confidently adopt GenAI while protecting sensitive data from exposure and loss.
“The rapid adoption of AI tools across the enterprise is creating new and often invisible data risks,” said Alex Au Yeung, Chief Product Officer, Trellix. “Trellix brings together policy, visibility, and enforcement in a unified framework to help customers control how data is used across both sanctioned and shadow AI.”
In 2025, 88% of businesses implemented AI in at least one function, outpacing traditional security controls and accelerating the rise of shadow AI. This shift is already increasing the cost of data breaches, which have risen by an average of $670,000. At the same time, even approved AI tools introduce risk when organizations lack clear policies governing the access and sharing of sensitive data.
“The regulatory landscape around data security continues to evolve, making compliance a moving target,” said Kristin Lowery, Field CISO, Optiv. “As organizations increasingly leverage AI in the workplace, having the right controls and visibility is essential to ensure compliant data-handling practices and prevent potential data leaks. This combination of associate training, data-handling processes, and controls is critical for responsibly integrating new AI tools.”
Trellix’s solution combines enhancements across Data Loss Prevention, Data Encryption, and Database Security, with a three-part framework enabling organizations to securely implement modern AI workflows with the necessary guardrails to protect their data. This approach establishes clear usage policies, reinforces them through training and governance, and delivers real-time visibility and control over how AI tools interact with sensitive data.
Key capabilities and enhancements include:
- Trellix DLP with AI Data Risk Dashboard: Prevents sensitive data loss to AI tools, provides real-time visibility into sanctioned and unsanctioned AI usage, and helps identify and respond to high-risk activity.
- Trellix Database Security with Analytics Hub: Protects databases from unauthorized access, monitors risks and vulnerabilities, and helps teams quickly address threats without downtime.
- Trellix Data Encryption: Secures sensitive data across devices and files, ensuring only authorized users can access it and blocking AI tools from reading protected data.
- Trellix Professional Services: Helps organizations manage AI data risk through policy development, technical setup, and employee training to prevent data leaks.
Learn more here.
