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  • When Agents Can Buy and Provision: The Shift from Automation to Enforced Governance

    When Agents Can Buy and Provision: The Shift from Automation to Enforced Governance
    2026/05/05
    The dominant structural shift identified is the emergence of agentic AI as a direct operator within multi-system business environments, triggering a governance and accountability gap. Vendors and cloud platforms—including AWS, Stripe, and Cloudflare—are enabling AI agents not only to recommend actions but also to directly access payment rails, provision infrastructure, and execute transactions. This movement turns automation into an operating model issue rather than a feature deployment, as the identity, authority, and accountability of non-human actors become central operational questions. Primary evidence is drawn from a range of industry signals. According to an AMD-commissioned IDC report, 81% of enterprises are engaged in AI PC adoption and 61% are embedding AI into workflows. AWS has expanded managed agent packaging for AI deployments, Stripe has launched the Link wallet allowing AI agents to process payments on users’ behalf with controls on payment credentials, and Cloudflare has demonstrated agents autonomously provisioning cloud resources with enforced monthly spend limits. While these statistics carry vendor-driven optimism, the combined actions of these companies confirm a shift from advisory AI to operational AI. Related developments reinforce this trajectory. The SolarWinds survey reported by Computer Weekly finds 71% of IT workers experiencing higher demands due to AI, with only 19% noting reduced cognitive load, reflecting operational burdens rather than efficiencies. Similarly, Forrester data cited by The Register highlights a change in CIO responsibilities from system building to outcome governance as agentic AI exposes gaps in decision rights and process completeness. Security risks are elevated, as the Kela report counts 2.86 billion stolen credentials in a year, indicating that agent-driven credentials can trigger machine-speed purchases and changes, compounding the challenge of oversight and recovery. Operational implications for MSPs are significant. Without explicit governance, spend limits, approval paths, and audit trails, MSPs face increased liability and support burden when AI agents initiate actions across client systems. The episode underscores that automation is not just a technical project but a contract and service design issue; if accountability is not clearly defined, MSPs bear the risk and cost of unauthorized transactions and exception handling. To mitigate exposure, there is a need to formalize agent governance as a priced, intentional service encompassing identity management, financial controls, and documented operational guardrails before agentic AI is deployed in client environments. 00:00 Agents Take Over 04:39 Who's Accountable? 06:48 Who Owns This? 09:58 Why Do We Care? Supported by: NerdioScalePad Upcoming event: The Pivotal Point of IT: Building Services for the AI-First Era Date: May 13 at 1p.m. EDT Register: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    13 分
  • Microsoft and AWS Shift MSPs Toward Metered AI Pricing and Governance Exposure

    Microsoft and AWS Shift MSPs Toward Metered AI Pricing and Governance Exposure
    2026/05/04
    The core structural shift identified is the reconfiguration of managed service pricing and accountability due to the integration of AI and platform metering into standard IT offerings. Large vendors—including Microsoft and AWS—are shifting the economics of IT delivery: traditional flat-rate bundles are being rendered structurally unsafe as AI-driven workloads introduce unpredictable consumption costs and financial exposure. This change is catalyzed by vendors attaching metered billing models and embedding AI agents directly into enterprise platforms, which fundamentally shifts risk and cost variability onto MSPs and service providers. The most consequential development is Microsoft’s introduction of Microsoft 365 E7, described as a new bundle combining seat licensing with consumption-based AI fees. According to company statements and Computer Weekly reporting, Microsoft is explicitly positioning the suite as a license-plus-consumption model with measured AI usage, tracked similarly to Azure. Gartner’s latest IT spending forecast, cited via CIO.com, anticipates global IT spend reaching $6.31 trillion by 2026, with a 55.8% jump in data center infrastructure spending, largely driven by AI adoption. Secondary developments echo this trend. AWS has expanded its managed agent offerings on Amazon Bedrock, integrating OpenAI models and presenting agents as standardized, enterprise-ready managed services; pricing is identified by analysts as a tipping point. Cloudflare’s collaboration with Stripe highlights infrastructure that enables agents to provision accounts and handle finances with minimal human input, using protocol-based authorization and spending controls. Vendors like AvePoint release governance tools that focus not on offering more AI, but on operationalizing policy control and audit management across multi-tenant environments. These illustrate increasing platform vendor jurisdiction over layers historically managed by MSPs. For MSPs and service providers, the practical consequences are increased exposure to contract risk, margin compression, and operational complexity. Flat rate contracts that fail to track AI consumption or bundle AI support risk being underpriced and absorbing both spend and support variance. The shift towards platform-managed governance, identity, and audit controls requires providers to separate governance from operational support in agreements, implementing new monitoring, reporting, and cost-tracking tooling. Failure to address these shifts could result in lost accounts, failed renewals, and loss of insurability, as insurers and auditors demand provable oversight and policy enforcement. 00:00 Seats Meet Meters 05:39 Bundles Break Here 08:32 Cleanup Costs You 11:49 Why Do We Care? Supported by: Acronis Moovila Zero Networks Upcoming event: The Pivotal Point of IT: Building Services for the AI-First Era Date: May 13 at 1p.m. EDT Register: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    16 分
  • Microsoft and Federal Agencies Shift Security from Best Effort to Verified Service Operation

    Microsoft and Federal Agencies Shift Security from Best Effort to Verified Service Operation
    2026/05/01
    The core structural shift highlighted is the movement of security for Managed Service Providers (MSPs) from best-effort practices to a regulated, continuously verified service operation. This change is being driven by the compression of vulnerability exploit timelines as a result of attackers leveraging both automation and AI, and by regulators imposing hard patching and compliance deadlines. Companies such as ConnectWise and Microsoft are central, with federal agencies (CISA) now converting exploited vulnerabilities into time-bound remediation mandates. A significant development underscoring this shift is the addition of two known exploited vulnerabilities—CVE-2024-1708 in ConnectWise ScreenConnect and CVE-2026-32202 in Microsoft Windows Shell—to CISA’s remediation requirements. Agencies must address these by May 12, 2026, marking a move from tracking to deadline-driven action. Reports from Huntress and TechCrunch confirm that real-world attackers rapidly exploit public vulnerability information, and Microsoft’s own documentation illustrates attackers increasingly using Microsoft Teams for social engineering, remote assistance, and privilege escalation. Supporting developments include major vendors like Microsoft integrating models from Anthropic into their security development lifecycle to accelerate vulnerability discovery and remediation. However, studies noted by The Hacker News and The Verge indicate that AI-driven discovery is outpacing operational capacity, creating a growing discovery-to-remediation gap. At the organizational level, information from the Reveal 2026 IT Talent Survey indicates that 8 in 10 technology leaders face significant shortages in AI and cybersecurity skills, compounding the operational burden of continuous security verification. For MSPs and IT leaders, these factors combine to increase operational complexity, require more explicit contract scoping and evidence obligations, and shift oversight from periodic compliance towards continuous, demonstrable verification. Contractual ambiguity—especially when services are described as “best effort”—exposes providers to unmeasured labor and unassigned accountability. Practical steps now include reclassifying business collaboration platforms as active attack surfaces, formally auditing and documenting previously “invisible” tasks, and aligning internal operations with external, regulator-mandated verification standards. 00:00 AI Patches Gaps 05:10 Discovery Isn't Enough 07:11 Reprice or Absorb 10:24 Why Do We Care? Supported by: Moovila Zero Networks Upcoming event: The Pivotal Point of IT: Building Services for the AI-First Era Date: May 13 at 1p.m. EDT Register: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    14 分
  • AI Automation Shifts MSPs from Per-Seat Pricing to Variable, Metered Cost Models

    AI Automation Shifts MSPs from Per-Seat Pricing to Variable, Metered Cost Models
    2026/04/30
    The dominant structural shift outlined in the episode is the destabilization of the classic per-seat MSP bundle caused by the rise of agentic AI and token-based, metered automation platforms. Vendors such as Kaseya, Google, and OpenAI are embedding persistent AI agents within core business applications, moving beyond traditional licensing models to charges based on actions, tokens, and workflow usage. This introduces margin instability, as MSPs cannot reliably predict costs or maintain flat-rate contracts in an environment where AI consumption is dynamic and externalized. The most consequential evidence presented is the quantification of AI-driven inefficiencies and costs in operational terms. According to a Gallup poll, cited by ZDNet, half of US employees are now using AI at work, but those users waste up to eight hours weekly managing AI-related tasks—amounting to approximately $1.25 million drag per year for a 100-person firm. This data underlines how the proliferation of automation does not equate directly to labor savings and can introduce significant, unanticipated costs that are difficult to contain under legacy MSP pricing models. Supporting developments further highlight the governance gap and operational risk. Reports from PRWeb and Ruist find that 97% of MSPs intend to automate more in 2024, but only 4% are “highly mature.” Vendor announcements—as with Kaseya’s agentic IT management platform, Auvik’s Aurora AI agents, and Liongard’s data control enhancements—are paired with warnings from Information Week and The Register about the risk of overspending, audit failures, and accountability gaps tied to AI-driven automation. Most IT managers lack full control over AI agents, and as agents proliferate, the difficulty of tracking, governing, and assigning accountability rises. For MSPs and IT service providers, these changes demand immediate attention to contract structure, governance, and pricing. Flat-rate, all-you-can-eat support models expose providers to untracked vendor consumption and hidden overages, making traditional agreements economically unstable. Practical safeguards require shifting toward consumption-based or outcome-based billing, enforcing explicit usage caps, audit controls, and vendor SLAs that clearly define liability and accountability. Failing to adapt risks absorbing uncontrolled automation costs and shouldering client disputes over AI-driven actions and expenses. 00:00 AI Overhead Crisis 04:48 Agent Control Gap 07:17 MSP Margin Squeeze 12:00 Why Do We Care? Supported by: Acronis Zero Networks Nerdio Upcoming event: The Pivotal Point of IT: Building Services for the AI-First EraDate: May 13 at 1p.m. EDTRegister: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    16 分
  • OpenAI and Deepseek Drive AI Costs Up, Forcing MSPs to Rethink Pricing Models

    OpenAI and Deepseek Drive AI Costs Up, Forcing MSPs to Rethink Pricing Models
    2026/04/29
    The structural mechanism driving current changes for MSPs is a shift from seat-based software revenue toward variable, usage-based AI consumption, resulting in pronounced margin pressure and operational complexity. This shift is being shaped by enterprise software vendors, including Atlassian and HubSpot, moving away from flat per-user AI fees in favor of metered pricing models tied directly to consumption. The episode also identifies increased rework and governance burdens for MSPs, particularly as automation and AI adoption reduce traditional seat counts but introduce new variability and labor demands around oversight, exception handling, and security remediation. The most consequential development highlighted is the transition by a growing number of vendors to usage-based AI pricing, treating AI as a metered utility rather than a bundled feature. The Information reports that by the end of 2025, 79 out of 500 tracked software companies are expected to have implemented some form of usage-based AI fee. This adjustment is driven by vendors’ need to offset the potential revenue loss resulting from AI agents reducing seat license counts. Org View data cited in the episode suggests that 55% of companies who laid off staff in favor of AI later regretted the decision, underscoring the unexpected operational burdens and instability introduced when automation is rushed or incomplete. Additional developments reinforce this structural shift. Semaphore describes open-source models like Deepseek offering lower-cost, competitive AI, which increases adoption even beyond premium vendor ecosystems. The CIA’s deployment of AI-generated intelligence reports—expected to be ubiquitous in analytics platforms within two years—signals the integration of AI into core workflows. Vendor activity, such as Appdirect’s acquisition of Partner Stack, reflects a market trend favoring platforms capable of provisioning, governing, and managing diverse AI toolsets and workflows for customers who lack internal capability. For MSPs and IT service leaders, these trends introduce direct pricing pressure, unpredictable pass-through costs, and expanded liability exposure. The transcript emphasizes the need to separate AI rework pricing from security incident response, implement controls on AI usage and licensing, and reframe AI engagements around workflow governance rather than tool deployment. Failure to formalize and price these activities increases the risk of unbilled labor, contract ambiguity, lender skepticism, and downward pressure on margins, especially as the gap widens between shrinking seat-based revenue and volatile AI consumption charges. 00:00 Metered AI 03:34 Governance Is Margin 05:17 Seat Drop Math 08:36 Why Do We Care? Supported by: Acronis ScalePad Comet Backup Upcoming event: The Pivotal Point of IT: Building Services for the AI-First EraDate: May 13 at 1p.m. EDTRegister: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    12 分
  • AI Moves to Metered Utility: Microsoft, Cisco, and the Demand for Explicit Governance

    AI Moves to Metered Utility: Microsoft, Cisco, and the Demand for Explicit Governance
    2026/04/28
    The episode identifies a structural shift from AI as a discrete feature to AI as an ongoing operational system, emphasizing the growing burden of governance, accountability, and consumption oversight for managed service providers. Companies such as Microsoft, Cisco, and Google are redirecting strategy toward building control planes and governance infrastructure to address operational friction in deploying AI agents, as operational complexity—rather than access to tools—emerges as the bottleneck. This shift is substantiated by reports from GTIA, Cisco, and insights into vendor incentives and partner programs. Evidence highlights a clear disconnect between widespread AI adoption and the maturity required to operationalize these systems. According to the Global Technology Industry Association (GTIA), 97% of IT service providers use some form of AI, but only 28% consider themselves AI-driven. Cisco reports that while 85% of enterprises are piloting AI agents, just 5% have moved them into production, pointing to persistent trust and operational gaps. Axios adds that in AI-intensive teams, compute expenditures are surpassing employee costs, with large organizations like Nvidia and Uber experiencing rapid escalation in AI-driven utility bills. Further developments reinforce these themes. Microsoft is aligning partner incentives around new SKUs such as Microsoft 365 E7, explicitly targeting AI as a delivery motion rather than a feature. Consumption-based pricing—exemplified by the move to token-based billing for GitHub Copilot—exposes clients to “death by a thousand cuts” if usage is not closely monitored. Reports from Cobalt indicate significant security risk, with one in five organizations experiencing an incident involving large language models and a low remediation rate for identified vulnerabilities. Vendors such as Google and OpenAI are responding with new management platforms and reliance on consultancies to address integration and governance challenges. For MSPs and IT leaders, the practical implications are clear: AI’s operational realities dictate a need to explicitly define governance, permission structures, and consumption management as part of service delivery. Unscoped or bundled AI services risk unbilled labor, unclear liability, and unmanaged exposure to security and cost overruns. The operational pivot involves inventorying AI features, establishing ownership, applying identity and access controls, tracking spend, and updating contracts to clarify accountability. Without formalizing these boundaries, MSPs may be left absorbing risk and cost by default. 00:00 AI Reality Check 04:43 Operator Burden 07:11 Meter the Risk 10:35 Why Do We Care? Supported by: Acronis ScalePad Zero Networks Upcoming event: The Pivotal Point of IT: Building Services for the AI-First EraDate: May 13 at 1p.m. EDTRegister: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    14 分
  • Data Gaps, Not Hype, Block Productive AI for MSPs: Insights from Dr. Fern Halper

    Data Gaps, Not Hype, Block Productive AI for MSPs: Insights from Dr. Fern Halper
    2026/04/27
    The episode reveals a persistent and widening governance gap as organizations rush to implement AI without adequate data foundations or operational controls. According to observations from Dr. Fern Halper, current AI adoption is overwhelmingly characterized by top-down pressure, especially around generative and agentic AI, but is constrained by immaturity in governance, data integration, and organizational readiness. Microsoft’s bundling of Copilot in E7 licenses highlights this structural shift, as “consumerized” AI solutions proliferate without corresponding investments in foundational data and oversight. Supporting this view, new research cited by Dr. Fern Halper indicates that nearly half of organizations are under executive mandates to pursue AI, but most remain stalled in the experimental or pilot phase. The failure to move beyond pilots is not primarily a technology limitation but stems from inadequate data quality, lack of lineage controls, fragmented data governance, and persistent data silos. The report identifies that only about 35–45% of organizations deploying generative or agentic AI have come up through a cycle of machine learning and data foundation development. Secondary examples reinforce the governance and risk exposure. MSPs and end-customers are increasingly relying on off-the-shelf or prebuilt AI (such as Copilot or ChatGPT) for individual productivity, rather than building production-ready, data-driven applications contextualized with proprietary information. This often leads to uncontrolled proliferation of “shadow AI”—tools deployed outside formal oversight—further compounding compliance and data protection risks. As organizations start experimenting with agentic AI, the risks escalate, since these systems not only generate outputs but can take direct action, magnifying the impact of weak governance and access controls. For MSPs, IT service providers, and technology leaders, the operational consequence is heightened responsibility around governance, auditability, and data management. The unchecked spread of shadow AI introduces contractual and regulatory exposure, particularly as clients seek to incorporate AI tools without formal policies or understanding of associated risks. Providers should prioritize baseline governance frameworks, client-facing AI literacy training, and infrastructure capable of accommodating unstructured data, lineage requirements, and auditing. Failing to address these priorities increases the risk of service breakdowns and complicates SLA enforcement as AI systems broaden operational scope. Supported by: JumpCloud HaloPSA Acronis Upcoming event: The Pivotal Point of IT: Building Services for the AI-First Era Date: May 13 at 1p.m. EDT Register: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    24 分
  • AI Adoption Hinges on Trust, Not Features: MSPs Must Deliver Governance and Accountability

    AI Adoption Hinges on Trust, Not Features: MSPs Must Deliver Governance and Accountability
    2026/04/24
    The dominant mechanism discussed is a shift from a focus on AI capability to trust and governance as the deciding factors in AI adoption for managed service providers and their clients. Vendors are increasingly positioning governance, control layers, and auditability as necessary operational functions, rather than add-on features. This is driven by enterprise demand for transparency and accountability across identity, data protection, compliance, and ongoing monitoring. Companies such as Acronis, Microsoft, and Elastic are introducing tools for managing AI access, monitoring sensitive data exposure, and embedding control processes directly into operational workflows. The episode highlights that, according to research from Gong, 58% of companies have stalled their AI projects due to a lack of trust in data handling and AI-generated outputs—not because of budget constraints. Nearly half (46%) of planned investments were paused specifically over concerns around privacy, explainability, and model transparency. Buyers cited the need for explicit policy controls, demonstrable security guarantees, and accountability safeguards before new capabilities are approved. Supporting developments include Acronis’s Genai Protection, designed for MSPs to increase visibility over customer AI activities and detect risks such as prompt injection and shadow AI. Meanwhile, incidents like the unauthorized access to Anthropic’s Claude Mythos preview through a contractor, reported by The Verge and Gizmodo, reinforce that even leading vendors face security and accountability challenges. Vendors such as Microsoft and Dropbox are moving to integrate centralized control layers that directly address these new operational risks, while tools like Watchguard and Halo are tying security events to key business workflows. For MSPs and IT leaders, the implications are operational rather than purely technical. AI governance now requires continuous policy management, exception handling, and documented evidence across multiple platforms—a scope that most internal teams are not resourced to handle. The market is shifting toward purchasing accountability as a managed service, and providers that fail to deliver clear governance frameworks, connector approvals, and audit-ready reporting will face increased contract risk, client loss following incidents, and potential liability under insurance and regulatory requirements. 00:00 Shadow AI Risk 03:07 Platform Consolidation 04:55 Stalled AI Spend 07:55 Why Do We Care? Supported by: ScalePad Upcoming event: The Pivotal Point of IT: Building Services for the AI-First EraDate: May 13 at 1p.m. EDTRegister: https://go.acronis.com/davesobelaiera 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    11 分