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Business of Tech: Daily 10-Minute IT Services Insights

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In 10 minutes daily, The Business of Tech delivers the latest IT services and MSP-focused news and commentary. Curated to stories that matter with commentary answering 'Why Do We Care?', channel veteran Dave Sobel brings you up to speed and provides resources to go deeper. With insights and analysis, this focused podcast focuses on the knowledge you need to be effective, profitable, and relevant.

  1. Risk Moves Upstream: How Embedded Governance and Insurance Set New MSP Constraints

    8H AGO

    Risk Moves Upstream: How Embedded Governance and Insurance Set New MSP Constraints

    The MSP market is undergoing a critical shift toward risk management as the central value proposition, with operational accountability now defined by the ability to produce defensible documentation and deliver rapid incident response. According to Dave Sobel, MSPs are no longer primarily offering stack management, but are increasingly brokering risk through cyber warranties, insurance underwriting, incident retainers, and AI governance frameworks. Those unable to support their claims with evidence and formal processes risk becoming mere facilitators for third-party terms and losing control over their margins. Recent developments reinforce this shift. A Splunk report finds that nearly all CISOs now view AI governance and risk management as their responsibility, citing threat actor sophistication as a primary driver. AI is assisting with event triage and data correlation, but verification—especially around AI-generated content—is unreliable, with detection tools struggling against advanced fakes. Insurance mechanisms are becoming productized with prioritized incident response, and legal intelligence is being embedded into MSP workflows. Vendors like N-able, Monjur, SentinelOne, and DocuSign are directly integrating financial, legal, and governance functions into their offerings, fundamentally altering client and vendor relationships. Adjacent stories illustrate volatility in traditional safeguards and the operational reality of adaptive threats. CISA leadership changes indicate instability in public response institutions. AI-powered malware exemplifies the challenge: ESET’s PromptSpy uses Gemini to continuously adapt its persistence, outpacing static detection models. Insurance underwriters are increasingly demanding machine-verifiable evidence of controls, using detailed questionnaires to distinguish autonomous AI from marketing claims. The risk is no longer just technical; it is structural. For MSPs and IT leaders, operational posture is now shaped by an ecosystem of embedded warranties, legal terms, governance requirements, and adaptive threats. The ability to document, defend, and productize risk controls becomes a baseline for credibility and insurance eligibility. Failure to build evidence pipelines and clarify vendor-imposed liabilities exposes service providers to compounded risk. The practical implication is a necessity for MSPs to treat governance and detection as measurable, documented capabilities—not assumptions or routine paperwork. Three things to know today: 00:00 CISOs Own Governance, Detectors Lag Fakes, Response Gets Contracted — Accountability Follows 03:14 N-able, SentinelOne, DocuSign Move Risk Management Into the Stack — MSP Terms Follow 05:10 CISOs Want Agentic AI, But Insurers and Adaptive Malware Are Forcing the Timeline 07:32 Why Do We Care?  Supported by:  CometBackUpSmall Biz Thoughts Community   💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    11 min
  2. Supply Chain Risk Designations Are Reshaping Federal AI Procurement

    1D AGO

    Supply Chain Risk Designations Are Reshaping Federal AI Procurement

    The episode centers on the federal government's evolving approach to AI vendor governance, underscored by the recent directive from President Donald Trump for federal agencies to halt the use of Anthropic’s AI technology. This shift follows the Pentagon’s termination of its relationship with Anthropic over the company’s refusal to relax contract restrictions around citizen data and autonomous weapons, ultimately resulting in Anthropic being designated as a “supply chain risk” by Defense Secretary Pete Hegseth. For MSPs and IT providers serving federal and SLED clients, this designation functions as an immediate procurement barrier rather than a negotiable label, directly impacting vendor eligibility and contract continuity. Contextually, 70% of federal agencies are reassessing their use of AI tools amid fluid regulations and heightened concerns around transparency and accountability, according to recent reports. The National Institute of Standards and Technology (NIST) has launched the AI Agent Standards Initiative, but enforcement is several years away, with only a request for information planned by March 2026. In parallel, a diplomatic initiative led by Secretary of State Marco Rubio opposes international regulations on foreign data handling, though this stance does not supersede foreign law, creating a complex compliance landscape, especially for multinationals. Meanwhile, the U.S. Supreme Court’s refusal to hear an AI copyright case reaffirms the lack of copyright protection for purely AI-generated works. The episode also discusses OpenAI’s agreement with the Pentagon, described by CEO Sam Altman as "rushed," and criticized for permitting domestic surveillance under flexible legal interpretations. Public and employee backlash prompted OpenAI to revise contract terms, but critics argue essential permission structures remain. Anthropic’s rollout of an AI migration feature during this period is flagged as a compliance event, raising risk when transferring data histories across vendor boundaries without audit or logging. Notably, consumer responses to AI vendor practices—evidenced by surges in Claude signups and ChatGPT uninstalls—are now influencing enterprise technology procurement as values-based purchasing enters the operational conversation for service providers. Operationally, the lack of a stable legislative or regulatory framework means MSPs and their clients face rapidly shifting governance through contract terms and procurement policy rather than law. The episode cautions that vendor selection cannot be guided by assumptions of ethical safeguards in provider policies or by default transitions to alternative vendors such as OpenAI, whose legal standing remains unsettled. Key recommendations include auditing client environments for exposure to designated supply chain risks, refraining from rigid vendor integrations, updating contractual IP language in light of the absence of AI copyright, and maintaining ongoing awareness of governance developments. Multi-vendor strategies and adaptable compliance positions are identified as essential risk mitigation practices in an environment marked by administrative fiat and reactive vendor positions. Three things to know today 00:00 Anthropic Blacklisted After Rejecting Pentagon's Autonomous Weapons Data Demands 04:58 OpenAI Wins Federal AI Contract Anthropic Refused, Then Rewrites It Under Pressure 07:38 Anthropic Outages Hit as Claude Sign-Ups Quadruple, ChatGPT Uninstalls Surge 295% Supported by: ScalePadSmall Biz Thoughts Community     💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    14 min
  3. Hardware Cost Volatility Forces MSPs to Reprice Contracts and Restructure Service Models

    2D AGO

    Hardware Cost Volatility Forces MSPs to Reprice Contracts and Restructure Service Models

    Enterprise IT spending is projected to reach $4.5 trillion by 2026, but this growth is concentrated in software, cloud services, and AI infrastructure for large organizations, according to HG Insights and Omdia research cited by Dave Sobel. The system integration market is positioned to approach $950 billion in 2025, with enterprises working with an average of 6.3 technology partners. A substantial surge in AI-optimized server sales, as reflected in Dell Technologies’ reported 342% year-over-year increase in revenue for those systems, is reshaping supply chains and vendor dynamics, leading to shortages of DRAM, SSDs, and hard drives. Underlying this development are volatile component costs. DRAM prices have doubled quarter over quarter, and both Micron Technologies and Western Digital have indicated they are sold out for 2026. HP reports that RAM now constitutes 35% of new PC materials costs, up dramatically from 18% the previous quarter. Such cost shifts are creating downstream risks for managed service providers (MSPs) with fixed-price agreements, as the economic assumptions underpinning many contracts—stable hardware prices and predictable cloud costs—no longer hold. The episode also highlights an increase in application sprawl and a widening gap between IT budgets and other operational costs. A Torii report shows large enterprises use over 2,191 applications on average, with more than 61% bypassing formal IT approvals, resulting in unmanaged security and compliance exposure. Additionally, 80% of small businesses report rising energy costs that directly compete with IT budget allocations. Industry analysis from Jefferies and Boston Consulting Group signals that AI and automation are not viewed uniformly as productivity boosters and may compress revenue models in both Indian and domestic IT services sectors. The practical implication for MSPs is the urgent need to audit and reprice contracts related to hardware procurement and refresh cycles, clearly documenting and communicating current cost realities with clients. Dave Sobel stresses reframing device lifecycle extensions as a security risk rather than a cost-saving measure and warns against selling clients on speculative AI market projections. The advice is to focus on specific, scoped use cases and to structure agreements that accurately reflect volatility in component costs and the operational burden of application sprawl, ensuring financial and legal accountability as the IT services landscape evolves. 00:00 $4.96T IT Spend Surge Bypasses SMBs as AI Infrastructure Captures Enterprise Budgets 03:58 Dell's $43B AI Server Backlog Triggers DRAM Shortage, Repricing Downstream Hardware 05:52 AI Shrinks IT Services Revenue Model; MSPs Face Contested Implementation Role   This is the Business of Tech.    Supported by:   💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    13 min
  4. Cybersecurity Distribution and Shared Risk Models: Interview with Jason Beal of Exclusive Networks

    3D AGO

    Cybersecurity Distribution and Shared Risk Models: Interview with Jason Beal of Exclusive Networks

    The episode centers on the evolving responsibility and risk allocation within cybersecurity distribution, with particular focus on Exclusive Networks’ approach. Jason Beal, as president of Exclusive Networks North America, outlines their emphasis on a technical workforce, maintaining a 1:3 ratio of engineers to sales representatives. This structure is positioned to address the increasing complexity of cybersecurity and the demands faced by service provider partners, aiming to support solution integration and customer needs while clarifying each party’s liability. Supporting this structure, Jason Beal identifies the role of the distributor as both an extension and enabler for MSPs and IT services companies. Distributors are expected to supplement partners’ capabilities—whether technical, financial, or operational—without assuming technology failure risk, which remains with the original technology vendors. Discussion of shared responsibility models also distinguishes between sales success (customer adoption, retention) and risk management. Recent developments in cyber insurance are cited as having reduced the direct risk burden on MSPs, shifting much of the liability away from service providers toward technology creators, albeit within contractually defined limits. Adjacent to cybersecurity, the conversation addresses skill and adoption gaps prompted by rapid technical innovation, specifically referencing artificial intelligence (AI). Jason Beal quantifies educational efforts by highlighting a collaboration with Cal Poly San Luis Obispo, which has seen 100 students engaged to help address workforce shortfalls in cybersecurity and AI. Additionally, academic experience informs the importance of modernizing IT operations curricula to better reflect current business challenges, such as cloud, AI, and global supply chain impacts. For MSPs and IT service providers, implications include the growing necessity to audit core competencies and allocate resources strategically, leveraging distributors not just for sourcing products but for specialized expertise, integration, and operational support. Risk mitigation remains tied to understanding contract language, vendor accountability, and developments in cyber insurance. The pace of AI and other technology adoption requires continuous education and careful evaluation of both operational risk and the practical limitations of solutions promoted by the channel and distribution partners.   💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    19 min
  5. Anthropic Refuses Pentagon AI Demands; Burger King's AI Monitoring Raises Privacy Risks

    5D AGO

    Anthropic Refuses Pentagon AI Demands; Burger King's AI Monitoring Raises Privacy Risks

    Anthropic’s refusal to remove safeguards against mass domestic surveillance and fully autonomous weapons in its interactions with the Department of Defense establishes an explicit boundary on the use of AI in federal contracts. The company cited specific civic and legal risks, emphasizing that current AI systems are not reliable enough for autonomous weapon deployment and warning that government pressure on vendors to bypass statutory constraints poses broader accountability issues. This underscores a shift in liability for MSPs and IT providers—any weakening of safeguards under contract does not eliminate risk but instead transfers possible exposure down the technology supply chain. This position is reinforced by the lack of unconditional trust in military oversight, as highlighted by the Pentagon CTO’s remarks, and by clear legal challenges, including violations of the Fourth Amendment and Department of Defense Directive 3000.09. Dave Sobel asserts that professional liability and cyber policies do not typically cover actions undertaken solely at government request where legal limits are breached. This increases the necessity for MSPs and IT leaders to verify that contract language explicitly defines acceptable AI use and to ensure written documentation before government or enterprise client demands arise. Additional analysis includes operational deployments of AI in service and workplace environments. Burger King’s AI chatbot, Patty, and ServiceNow’s autonomous request resolution underscore the friction between efficiency claims and trust gaps, as evidenced by a YouGov survey that found 68% of consumers lack confidence in AI customer service. Dave Sobel notes that MSP benchmarks tied to vendor ticket closure rates may not reflect real client satisfaction or risk, especially when legal requirements for monitoring and consent are not met. The episode further covers market reactions to speculative reports on AI-driven job displacement, studies demonstrating AI’s failure to maintain human-like restraint in conflict scenarios, and IBM’s valuation drop due to AI modernization tools. For MSPs and IT decision-makers, the practical takeaway is the need for documented governance, explicit contractual safeguards, and ongoing risk assessments when deploying or recommending AI solutions—particularly in environments where trust, human oversight, and insurability are not yet aligned with technical capability. Three things to know today: 00:00 Anthropic Refuses Pentagon Demands on Surveillance and Autonomous Weapons, Risks Contract 03:40 AI Hits the Human Layer — and Governance, Consent, and Trust Infrastructure Aren't Ready 07:37 AI Moves Markets, Escalates Wars, and Splits Partner Ecosystems — In One Week   This is the Business of Tech.    Supported by:  IT Service Provider University   💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    14 min
  6. Pentagon Pressures Anthropic for AI Access; VMware Exit Costs and Compliance Risks for MSPs

    6D AGO

    Pentagon Pressures Anthropic for AI Access; VMware Exit Costs and Compliance Risks for MSPs

    The episode’s central development is the ongoing dispute between the U.S. Department of Defense and Anthropic regarding Pentagon demands for unrestricted access to Claude, Anthropic’s AI model. According to Dave Sobel, the Pentagon has threatened to sever ties or invoke the Defense Production Act if the company does not comply, seeking capabilities that Anthropic argues may be illegal—specifically mass surveillance without warrants and autonomous weapons systems without human control. This move exposes Managed Service Providers (MSPs) serving defense contractors to unpredictable legal, operational, and compliance risks embedded in their AI workflows. The analysis highlights that a commercial AI provider’s acceptable use policy now intersects directly with national security policy, and even partial vendor compliance can trigger regulatory or legal instability for dependent organizations. For MSPs, this means that building service offerings on AI infrastructures without clear fallback strategies or documented policy change clauses can lead to unmanageable risk and liability in the event of provider or legal regime shifts. Dave Sobel stresses that failing to address policy volatility as part of a managed service amounts to underwriting geopolitical risk without compensation. Other notable developments include the passage of the Small Business Artificial Intelligence Advancement Act, federal cybersecurity resource contraction as CISA operates with 38% staffing after layoffs, and heightened uncertainty around cloud infrastructure due to Microsoft’s Azure Local “air-gapped” offering not wholly mitigating U.S. CLOUD Act exposure. Vendor news covered new AI-powered compliance features from Compliance Scorecard (version 10) and Beachhead Solutions (ComplianceEZ 2.0), Apple’s accelerated retirement of Rosetta 2 translation technology, a Microsoft 365 Copilot DLP change, and continued fallout from VMware’s acquisition by Broadcom, which has led to ongoing cost and trust challenges for cloud and infrastructure partners. The episode’s clear implications for MSPs and IT providers are operational. Service catalogs and statements of work should actively address AI provider liability, dependency exit planning, and degraded federal cybersecurity support. Without scheduled and documented compatibility and risk reviews, MSPs absorb hidden exposure into their margins. Vendor stability can no longer be assumed, and proactive policy, renewal intelligence, and transparent advisory sessions are now required to avoid unplanned liability, budget crises, and damaged client trust. Four things to know today 00:00 Pentagon Threatens Anthropic Over Claude Access, Demands Autonomous Weapons Use 04:31 CISA Cuts, Azure Sovereignty Push Signal End of Federal MSP Safety Net 06:56 AI Compliance Tools Flood Market as MSPs Face Validation Gap 09:54 86% of Firms Cutting VMware Ties as Broadcom Renewal Costs Loom   This is the Business of Tech.    Supported by: Small Biz Thoughts Community   💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    14 min
  7. Goldman Sachs Reports $700B AI Spend Yields No US GDP Growth; 40% of AI Projects Face Cancellation

    FEB 25

    Goldman Sachs Reports $700B AI Spend Yields No US GDP Growth; 40% of AI Projects Face Cancellation

    Recent analysis from Goldman Sachs indicates that $700 billion in AI investment during 2025 resulted in no measurable U.S. GDP growth, with most AI equipment imports negating domestic benefits and 80% of surveyed firms reporting no productivity or employment improvements. This pattern suggests that AI-related spending has primarily shifted margins from enterprise IT budgets to a small number of infrastructure vendors rather than delivering distributed value. Internal concerns are rising, with 90% of IT leaders questioning AI’s return on investment, and 80% citing fragmented data as a primary challenge to measuring outcomes. Further context reveals that agentic AI initiatives face operational headwinds: Gartner expects 40% of such projects to be cancelled by 2027, and S&P Global found nearly half are abandoned before production, most often due to inadequate planning and data foundations. Margin erosion is widespread, attributed to AI implementation costs, and attempts to scale AI agents into production remain limited by inference costs and insufficient infrastructure. Despite increased adoption efforts, sustainable value delivery from AI platforms remains elusive for most organizations. Enterprise AI access is becoming increasingly concentrated. OpenAI’s partnership with consulting firms such as BCG, McKinsey, Accenture, and Capgemini consolidates control of the enterprise distribution layer, narrowing competitive opportunities for smaller providers. Meanwhile, Amazon’s 13-hour AWS outage, linked to the misconfiguration of an internal AI tool, underscores the liability ambiguity in agentic systems—where vendors may attribute autonomous actions to user error, complicating risk assignment. Additional updates from vendors such as Anthropic, Cloudflare, and New Relic address incremental technical capabilities, with a distinct focus on cost, operational governance, and policy enforcement. The prevailing themes for MSPs and IT leaders are increased scrutiny of AI value, heightened exposure to cost and accountability risk, and the emergence of managed service opportunities around data governance, cost instrumentation, and liability management. With enterprise market channels consolidating and risk shifting toward service providers, integrating robust contractual definitions for autonomy, incident attribution, and financial boundaries is essential to limit harm and clarify responsibility before incidents occur. Four things to know today 00:00 Goldman: $700B AI Spend Delivered Near-Zero U.S. GDP Growth in 2025 03:49 OpenAI Enlists BCG, McKinsey, Accenture to Distribute Enterprise AI Agents 06:44 Report: Amazon's Own Engineers Prefer Claude Over Its Mandated Internal Tools 08:56 AI Inference Costs Are Falling — But Governance Gaps Are Growing This is the Business of Tech.    Supported by: CometBackup  Small Biz Thoughts Community      💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    15 min
  8. Remote Monitoring Tool Abuse Surges, Microsoft Copilot Control Failures, and AI’s Channel Impact

    FEB 24

    Remote Monitoring Tool Abuse Surges, Microsoft Copilot Control Failures, and AI’s Channel Impact

    Cybercrime’s escalation has reached a projected $12.2 trillion annual impact by 2031, with a notable surge in remote monitoring and management (RMM) tool abuse—up 277% year-over-year, according to Huntress and supporting vendor reports. Attackers utilize legitimate IT tools to facilitate stealthier ransomware and phishing campaigns, amplifying structural vulnerabilities within MSP technology stacks. Key metrics from Acronis, WatchGuard, and Vectra AI indicate a shift to smaller, more evasive malware campaigns, longer times to ransomware deployment (averaging 20 hours), and widespread unaddressed security alerts, raising questions about the adequacy of current defenses and incident response practices. Vendor-supplied threat intelligence further shows that MSPs’ reliance on signature-based platforms and insufficient visibility leaves them exposed to evolving attack techniques. Data reviewed suggests phishing footholds can quickly compromise cross-client environments, and legal ramifications heavily fall on the service provider when RMM or monitoring tools act as entry points. Notably, only about 58-60% of organizations report full visibility across their systems, with a majority of alerts remaining unaddressed, underscoring gaps in operational maturity and preparedness. Adjacent coverage highlighted Microsoft Copilot’s repeated security control failures within regulated environments, specifically its inability to enforce sensitivity labels and boundaries across emails—most recently affecting the UK’s National Health Service. The lack of vendor-announced architectural changes calls into question the viability of deploying AI tools in compliance-driven contexts. Separately, political and public backlash against surveillance technologies (such as Flock cameras) demonstrates that unchecked data collection is no longer a manageable passive risk, as data becomes increasingly actionable and retains liability beyond technical considerations. The practical takeaway for MSPs and IT leaders is a need to prioritize audit, documentation, and enforcement of controls within their technology stacks, especially where vendor tools or AI-driven automation intersect with compliance and client trust. Preserving operational optionality and scrutinizing vendor terms—particularly data sharing and architectural enforcement—are essential to reduce exposure. Waiting for vendor patches, disregarding documented control failures, or underestimating public scrutiny elevate liability across legal, reputational, and client relationship domains. Four things to know today: 00:00 Vendor Threat Reports Converge on One Risk MSPs Can't Outsource: The RMM as Breach Vector 05:11 Copilot Failed Compliance Controls Twice in Eight Months — A Patch Won't Fix That 07:03 Flock Backlash Exposes the Liability Hidden in Every Vendor Data-Sharing Contract 09:42 GTDC Summit: Distributors Pitch AI On-Ramp as Hyperscalers Compress Their Margin Sponsored by:     💼 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    14 min

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About

In 10 minutes daily, The Business of Tech delivers the latest IT services and MSP-focused news and commentary. Curated to stories that matter with commentary answering 'Why Do We Care?', channel veteran Dave Sobel brings you up to speed and provides resources to go deeper. With insights and analysis, this focused podcast focuses on the knowledge you need to be effective, profitable, and relevant.

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