aiqbench analysis
This article focuses on Trellix's launch of a private cloud deployment for its AI-driven security operations engine, specifically addressing enterprise concerns regarding data sovereignty, auditability, and the cost structure of generative AI tokens. By keeping sensitive telemetry within customer environments and providing explainable outcomes with confidence levels, the product aims to overcome trust barriers that currently hinder widespread adoption of autonomous AI agents in security operations centers.
Trellix Wise for Private Cloud runs AI security operations inside customer environments
Cybersecurity company Trellix today launched Trellix Wise for Private Cloud to let enterprises run its artificial intelligence engine for security operations entirely inside their own environments. The new release targets the main reasons large organizations have held back from handing security operations center work to AI agents. David Soto, Trellix’s chief information security officer, said […] The post Trellix Wise for Private Cloud runs AI security operations inside customer environments appeared first on SiliconANGLE.
Cybersecurity company Trellix today launched Trellix Wise for Private Cloud to let enterprises run its artificial intelligence engine for security operations entirely inside their own environments. The new release targets the main reasons large organizations have held back from handing security operations center work to AI agents. David Soto, Trellix’s chief information security officer, said those holdouts “aren’t resistant…
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