CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

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

From SiliconANGLE

By Duncan Riley

October 13, 2026

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

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 those holdouts “aren’t resistant to the technology, but to the tradeoffs.” He described the tradeoffs as sending sensitive security telemetry to a public cloud, “absorbing unpredictable token costs” and working without visibility into how AI decisions are made.

Every outcome from the private cloud edition comes with a confidence level, and Trellix said each one is explained in plain language so it can be audited for governance purposes. Customers are not billed by the token. Trellix Wise first appeared in May 2024 as generative AI investigation features in the company’s extended detection and response platform.

Soto’s comments come from the latest edition of Trellix’s “Mind of the CISO” report, released alongside the product. Research firm Vanson Bourne Ltd. polled 600 chief information security officers on insider risk for the study in August and September. One of the report’s recommendations is that companies consider on-premises or private cloud deployments for sensitive workloads so data stays inside their own security boundary.

Respondents told Vanson Bourne that AI-driven or autonomous systems were behind 28% of the insider incidents they dealt with over the past year, on average. Ninety-nine percent still expect AI and automation to be critical or very important to managing insider risk within two years. Asked what stands in the way, 40% named a lack of trust in automated decision-making.

The average organization in the survey took seven hours to spot an insider incident. Responding took eight more, a window Soto described as an invitation to attackers who use AI to speed up every stage of an attack.

Companies that do not govern AI agents with the same rigor they apply to human employees are “operating with an unmonitored insider at scale,” Soto argued in the report.

The report also found 98% of respondents see a role for governments or regulators in helping them manage insider risk. One U.S. chief information security officer at a financial operations provider told interviewers that fragmented state rules were “a nightmare” and called for a “unified matrix of regulations” so companies can “safely use AI for legitimate business purposes.”

Trellix, formally named Musarubra US LLC, was formed in 2022 by Symphony Technology Group following STG’s acquisition of McAfee Enterprise and FireEye.

View original article on siliconangle.com

Most Recent

Apple debuts new smart home devices, partner-developed hardware

Apple Inc. today expanded its product lineup with a smart display, a new iteration of its HomePod speaker and an upgraded set-top box. The company also introduced a collection of partner-developed smart home gadgets. Users can manage the devices via the Apple Home app that ships with the iPhone make

Oct 13, 2026

Deliverance AI puts sovereign AI control to the continuity test

Sovereign AI control depends on customer-held keys, model resilience and financial discipline as Deliverance AI brings governed agents into enterprise systems.

Oct 13, 2026

Microsoft’s top science exec is leaving to fulfill a childhood dream: Joining a Formula 1 team

When Peter Lee announced two weeks ago that he was leaving Microsoft, he said only that his next job would fulfill “a dream I’ve had since childhood.” The dream, it turns out, comes with a pit crew. The longtime Microsoft Research leader, who is leaving his post as president of Microsoft Science aft

Oct 13, 2026

Spranic builds spatial memory for physical AI

Spranic is building spatial memory for physical AI, using knowledge graphs to help robots adapt tasks and trace the information behind decisions.

Oct 13, 2026

Similar Posts

Security becomes the control plane for enterprise AI factories

Artificial intelligence is making companies into factories of intelligence. As AI becomes a new workload, it has also become a new attack surface. The factory model that enterprises are building to produce knowledge at scale was not designed with security at its center. Energy, compute and data go i

Sep 10, 2026

AI is rewriting the private cloud playbook as Dell moves beyond traditional HCI

Private cloud infrastructure is changing as Dell targets lower costs, greater flexibility, automation and AI-ready storage with PowerStore Elite.

Sep 23, 2026

What to expect during the ‘Rethinking Private Cloud’ event: Join theCUBE on Sept. 23

Private cloud is no longer a mere alternative to the public cloud; it is becoming private infrastructure, a purpose-built architecture for enterprise AI. Evidence for this can be seen in how Dell Technologies Inc. is building private cloud solutions that can streamline workflows and accelerate time-

Sep 16, 2026

What to expect during VMware Explore: Join theCUBE Aug. 31-Sept. 2

Private cloud takes center stage at VMware Explore 2026 as Broadcom strengthens VCF's security and governance for AI.

Aug 26, 2026