- Trellix has announced enhanced data security capabilities and a strategic framework
- It is designed to help organisations confidently adopt generative AI while protecting sensitive data from exposure and loss
- Trellix’s solution combines enhancements across Data Loss Prevention, Data Encryption, and Database Security
Trellix has announced enhanced data security capabilities and a strategic framework designed to help organisations confidently adopt generative AI 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.”
“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 organisations 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.
