# Vanson Bourne Published articles for Vanson Bourne. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 87% say their AI controls need to work better DevFeed: [87% say their AI controls need to work better]() Original publisher: [Read original article]() Author: Anamarija Pogorelec Published: 2026-11-06T06:00:03Z Content type: news Language: en Sources: [Help Net Security]() Topics: [ai-governance](), [ai security](), [shadow AI](), [human review]() Tags: [access-controls](), [agent](), [agentic-ai](), [agents](), [ai](), [ai-adoption](), [ai-investment](), [ai-security](), [automation](), [control](), [don-t-miss](), [generative-ai](), [llms](), [news](), [security](), [security-governance](), [survey](), [vanson-bourne]() ### AI overview Among surveyed business decision-makers at companies with more than $500 million in annual revenue, over half say their teams' AI can act within defined rules without routine review or complete processes without human approval; reported autonomy ranges from 54% for standalone generative tools to 59% for conversational AI and virtual agents. Yet 87% say AI needs faster authorization, and 91% of that group say approval, monitoring and control need to improve. Among organizations that deployed or scaled AI quickly, 46% report security, privacy, regulatory or compliance problems and 25% report loss of visibility, control or agent permissions. The excerpt also reports concerns about unchecked AI outputs, unapproved use and unclear decision ownership. While 47% report heavy investment in security, governance or compliance, 94% say governance and risk need further development. The findings are managers' reports about their own teams, not direct system measurements. ### Source excerpt The AI running inside large companies has stopped waiting for permission. Across five categories of AI, from chatbots to process automation, more than half of 3,600 business decision-makers say the systems their teams use can act within defined rules without routine review, or finish whole processes with no human approval. 87% of those same respondents say their organization needs a better way to approve, monitor and control how AI gets used. Vanson Bourne ran the ... More -> The post 87% say their AI controls need to work better appeared first on Help Net Security. ## Trellix Wise for Private Cloud runs AI security operations inside customer environments DevFeed: [Trellix Wise for Private Cloud runs AI security operations inside customer environments]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-10-13T13:00:53Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [Agentic SOC](), [private cloud](), [ai security](), [Local AI]() Tags: [ai](), [ai-agents](), [ai-security](), [artificial-intelligence](), [chief-information-security-officer](), [ciso](), [cybersecurity](), [david-soto](), [extended-detection-and-response](), [fireeye](), [generative-ai](), [governance](), [insider-risk](), [mcafee-enterprise](), [mind-of-the-ciso](), [musarubra-us](), [news](), [private](), [private-cloud](), [public-cloud](), [regulators](), [security](), [security-operations-center](), [symphony-technology-group](), [telemetry](), [the-latest](), [token-costs](), [trellix](), [trellix-wise](), [trellix-wise-for-private-cloud](), [vanson-bourne]() ### AI overview Trellix launched Trellix Wise for Private Cloud, enabling enterprises to run its AI engine for security operations within their own environments. The release addresses concerns about exposing security telemetry to public clouds, unpredictable token costs, and limited visibility into AI decisions. Trellix says the system provides confidence levels and plain-language explanations for audit purposes, with no per-token billing. An accompanying survey of 600 CISOs found that 40% cited lack of trust in automated decision-making as a barrier to managing insider risk. ### Source excerpt 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.