Trellix Introduces Private Cloud AI Platform for Security Operations
Cybersecurity company Trellix has announced Trellix Wise for Private Cloud, an AI-powered security operations platform designed to help organisations investigate threats across existing infrastructure while retaining control over sensitive data, governance and costs.
The company describes the offering as an on-premises, federated AI core for security operations centres (SOCs). It targets organisations seeking to use agentic AI to accelerate threat detection and response without sending security data to public large language models (LLMs) or external cloud services.
As AI tools become more accessible to threat actors, security teams face growing volumes of alerts and increasingly complex investigations. Trellix said its platform can analyse telemetry from existing security tools and AI agents, using organisational context to distinguish potential threats from benign activity without requiring a separate data lake.
“AI isn’t just accelerating attacks; it’s commercialising them,” said Vishal Rao, chief executive officer of Trellix. “Our strategy for the AI era is clear: meet AI-powered threats with AI-powered defence.”
Trellix Wise for Private Cloud is designed to investigate all alerts it receives, produce threat assessments and recommend response actions. It also generates confidence levels, plain-language explanations and audit records intended to help analysts understand how the system reaches its conclusions.
The platform can be deployed in on-premises, air-gapped, hybrid and private cloud environments. According to Trellix, processing remains within the customer’s security boundary, while predictable pricing replaces token-based consumption models to help organisations manage costs as AI adoption expands.
“Attacks powered by AI are outpacing traditional SOC tooling in speed, sophistication, and volume,” said Alex Au Yeung, chief product officer at Trellix. He said the platform is intended to help organisations investigate alerts at scale, identify hidden threats and make faster decisions.
The announcement comes as enterprises and government agencies assess how to adopt agentic AI while meeting data-residency, transparency and regulatory requirements. These considerations are particularly significant in highly regulated sectors, where reliance on external cloud services can restrict the use of AI-based security tools.
Christopher Kissel, research vice-president for Security and Trust at IDC, said cloud dependencies can be a barrier for public-sector and regulated organisations. He added that solutions addressing these constraints without requiring architectural compromises could meet an underserved market need.
Trellix also cited findings from its Mind of the CISO research, which found that 41% of organisations plan to prioritise investment in detection and response for AI-related risks over the next 12 to 24 months.
The platform builds on Trellix’s threat intelligence and Wise AI technology. However, the announcement did not include independent performance benchmarks to substantiate claims about investigating all received alerts or improving investigation outcomes. Organisations considering the platform will need to assess its effectiveness, integration requirements and governance controls against their own operational and regulatory needs.
