{"id":68484,"date":"2025-07-15T11:20:04","date_gmt":"2025-07-15T10:20:04","guid":{"rendered":"https:\/\/www.n-able.com\/?p=68484"},"modified":"2025-09-09T17:56:51","modified_gmt":"2025-09-09T16:56:51","slug":"why-ai-transparency-from-your-vendors-isnt-optional-anymore","status":"publish","type":"post","link":"https:\/\/www.n-able.com\/fr\/blog\/why-ai-transparency-from-your-vendors-isnt-optional-anymore","title":{"rendered":"Why AI Transparency from Your Vendors Isn\u2019t Optional Anymore"},"content":{"rendered":"

(This article is drawn from the Beyond the Horizon Podcast: The AI Landscape for MSPs \u2013 Managing Governance, Compliance, and Cyber Threats)<\/em><\/p>\n

Across IT stacks, AI is silently but powerfully being embedded into the tools organizations rely on. It is being woven into the things we use on a daily basis, from predictive analytics<\/a> to chatbots and automation, and it is reshaping how IT operates. AI is no longer an add-on or an enhancement. It is being used and delivered as a part of your core stack.<\/p>\n

Over the past few months, I\u2019ve spoken with and trained over 150 MSPs, and one thing is clear: we as an industry are not asking enough about how this technology functions, what data it\u2019s accessing, and how decisions are being made. This lack of transparency can have real-world consequences. For MSPs and internal IT leaders, this shift presents immense opportunities. However, alongside these opportunities come significant risks when it comes to transparency and governance.<\/p>\n

If your vendors can\u2019t explain their AI, it\u2019s your compliance, your clients, and your credibility that will take the hit. The time to demand transparency from your vendors isn\u2019t tomorrow. It\u2019s today.<\/p>\n

Why AI Governance Isn\u2019t Optional in IT<\/strong><\/h2>\n

According to McKinsey, 92% of companies plan to increase their AI investments<\/a> over the next three years. That\u2019s not surprising, given how AI can streamline operations, enhance decision-making, and enable innovation.<\/p>\n

But AI is being embedded before it is explained. Many organizations are unaware of where or how AI is embedded into their operations because vendors often fail to provide visibility into its workings. Imagine using third-party code in your platform without fully understanding the licensing terms. If you can\u2019t trace how AI decisions were made, and the implications of them, you may find yourself in legal gray zones. The liability shifts to you, whether you knew the risks or not. Which leads us to the next issue.<\/p>\n

The Problem Most Vendors Are Facing<\/strong><\/h2>\n

Here\u2019s what I hear from the people I talk to: AI features are getting pushed into their environments by their vendors. But, controls, clarity, and insight into governance… that is lacking or missing entirely. Many vendors, are eager to roll out AI-powered features so they can maintain market leadership positions \u2013 at the expense of offering transparency and user control over how AI functions. \u00a0Most vendors only provide company-wide opt-out options. For MSPs, that\u2019s a huge problem. You serve multiple tenants. You need controls that support each one individually. Without that, you’re left shouldering the complexity \u2013 and the liability.<\/p>\n

As I\u2019ve stated before, it is not enough to offer opt-outs. MSPs are stuck navigating compliance and reporting burdens. Worse, they may unknowingly expose both their clients and themselves to legal, ethical, and operational risks.<\/p>\n

The Risks of Ignoring Vendor AI Transparency<\/strong><\/h2>\n

Failing to demand and implement AI transparency isn\u2019t just a technical oversight; it has real-world consequences. Here\u2019s why ignoring transparency can backfire:<\/p>\n

1. Compliance Challenges<\/strong><\/h3>\n

Regulatory frameworks like the EU AI Act<\/a> and other global regulations are raising the bar for governance. Soon, compliance will require clearly auditable AI decision trails and consent tracking. Being unprepared for this can lead to fines and reputational damage.<\/p>\n

2. Legal Liability<\/strong><\/h3>\n

Without understanding how and where a vendor\u2019s AI is used, your business may unknowingly breach agreements or policies. For example, if sensitive data is processed without user consent, your organization may face lawsuits.<\/p>\n

3. Security and Ethical Concerns<\/strong><\/h3>\n

AI-powered systems can exploit misconfigurations, as malicious actors often wield AI to find vulnerabilities faster than humans can. But if your vendors fail to disclose specifics about their AI operations, how can you identify weaknesses before attackers do?<\/p>\n

4. Client Impact<\/strong><\/h3>\n

Transparency fosters trust. Without it, your clients may question your integrity or choose competitors who are better prepared to address compliance and governance.<\/p>\n

The Path Forward for IT Leaders<\/strong><\/h2>\n

The good news is that proactive governance is an opportunity to boost your organization\u2019s competitive advantage. Here\u2019s what IT leaders, especially CIOs, CTOs, and MSPs, can do right now:<\/p>\n

Audit Your Tech Stack<\/strong><\/h3>\n

Start by identifying where AI is embedded across your tools and services. Ask:<\/p>\n