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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 […]…

Trellix Wise for Private Cloud runs AI security operations inside customer environments

Trellix has unveiled Trellix Wise for Private Cloud, an AI-driven security operations platform designed to operate within a customer's own environment. The innovative solution addresses the concerns of large organizations hesitant to entrust security operations center tasks to AI agents, such as data privacy, unpredictable token costs, and a lack of transparency in AI decision-making.

Trellix Wise now includes confidence levels for every outcome, making it auditable and easily understood for governance purposes. Unlike its previous version, which was introduced in May 2024 as generative AI investigation features, Trellix Wise now charges customers based on usage rather than token usage. The release of the product comes as part of Trellix's "Mind of the CISO" report, which polled 600 chief information security officers (CISOs) regarding insider risk.

According to the study, AI-driven or autonomous systems were responsible for 28% of the insider incidents CISOs dealt with over the past year on average. Despite this, 99% of the surveyed CISOs expect AI and automation to be critical or very important for managing insider risk within two years. However, a significant barrier to adoption remains, with 40% of respondents citing a lack of trust in automated decision-making as the primary obstacle.

Soto, Trellix's chief information security officer, argues that failing to apply the same level of governance to AI agents as to human employees leaves organizations "operating with an unmonitored insider at scale." Additionally, the report found that 98% of respondents believe there should be a role for governments or regulators in helping them manage insider risk, with one U.S. CISO at a financial operations provider expressing frustration with fragmented state regulations and the need for a unified set of rules to safely use AI for legitimate business purposes.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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