How MSPs Can Navigate AI Risks with Monjur’s Managed AI Library

How MSPs Can Navigate AI Risks with Monjur’s Managed AI Library

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Yes. If used right, AI can revolutionize business. We know it already since it’s all everyone has been saying lately. But, the reality is that most small MSPs would be better off mastering basic security practices before diving into AI deployments.

According to McKinsey’s 2023 AI report, 79% of organizations have had at least some exposure to generative AI. And how many of them have established policies governing employee usage? Only 21%. That’s a huge gap between adoption and governance.

And it can create significant risks for MSPs and their clients.

For Managed Service Providers (MSPs), implementing AI solutions comes with both opportunities and risks. And you can’t take advantage of the opportunities without understanding the unique legal risks presented by AI.

Understanding the Risks of AI for MSPs and Their Clients

How MSPs Can Navigate AI Risks with Monjur's Managed AI Library

Unlike traditional IT security that focuses on perimeter defense, modern AI systems create entirely new attack surfaces that span across organizational boundaries. This shift requires MSPs to think differently about security.

Keeping bad actors out isn’t enough anymore for AI risk management. You must also control what information flows out to the third-party AI services.

As EchoStor CIO Daniel Clydesdale-Cotter points out every single time you ask a language model a question, it’s training itself. And there have been instances where internal information becomes part of the language model training. When thinking about contracting for AI managed services, you need to consider:

Data Privacy and Security Risks:

  • Client data exposure through AI model training
  • Potential breaches when processing sensitive information
  • Unauthorized access to proprietary information through AI systems

Ethical and Operational Challenges:

  • AI bias affecting decision-making processes
  • Misuse of AI tools leading to operational disruptions
  • Unchecked AI outputs creating liability issues

Regulatory Landscape:

  • Evolving privacy laws across jurisdictions
  • Industry-specific compliance requirements
  • Emerging AI-specific regulations

Many MSPs are quietly struggling with clients who’ve already deployed AI tools without consulting them first. These MSPs are often left scrambling to retroactively secure and govern these shadow IT deployments while maintaining client relationships.

The Importance of AI-Specific Policies

A clear approach to managing AI is essential. Having proper policies in place helps organizations decide , determine and document their AI strategy

For MSPs, these policies act as a guide, helping them stay on top of changing rules and technology while protecting both their business and their clients.

Restrictive AI Policies: These policies provide strict controls for regulated industries and high-security environments:

  • Limited AI tool access
  • Strict data handling protocols
  • Mandatory oversight of AI outputs

Permissive AI Policies: These policies enable innovation while maintaining security:

  • Flexible AI tool usage guidelines
  • Clear boundaries for acceptable use
  • Regular monitoring and reporting requirements

Many MSPs are hesitant to create restrictive AI policies because they themselves rely heavily on AI tools internally. It’s important for MSPs to adhere to the same standards as their clients when it comes to AI usage.

The Role of a Service Attachment for Managed AI

MSPs need clear contract terms that address the unique challenges of AI, including intellectual property rights, user responsibilities, and risk allocation.

Traditional legal agreements weren’t designed to handle the complexities of MSP AI Risk Management. That’s where specialized attachments come in handy for better protection.

A comprehensive service attachment for managed AI defines the scope and responsibilities of AI management, ensuring both MSPs and clients understand their obligations.

Defined Responsibilities:

  • Clear outline of MSP’s AI management duties
  • Specific monitoring and maintenance protocols
  • Incident response procedures

Regulatory Alignment:

  • Compliance with current privacy laws
  • Integration with existing security frameworks
  • Regular updates to meet new requirements

Client Accountability:

  • Defined client obligations
  • Clear communication channels
  • Risk sharing protocols

Effective AI governance requires a clear allocation of responsibilities between MSPs and their clients. Besides day-to-day operations, the service attachments should also plan for what happens if something goes wrong. It must also include terms that deal with AI-specific risks and ethical issues, so everyone knows where they stand.

Why Choose Monjur’s Managed AI Library

How MSPs Can Navigate AI Risks with Monjur's Managed AI Library #2

The increasing adoption of AI tools requires MSPs to have both comprehensive legal protection and the ability to help clients steer through ethical and operational challenges.

Monjur’s managed AI library for MSPs can help you address the intricate issues MSPs face in managing AI risks while enabling growth and innovation.

Efficiency:

  • Streamlined implementation of AI policies
  • Automated compliance monitoring
  • Integrated risk management tools

The Monjur platform integrates directly into MSPs’ existing sales processes and tools, including ConnectWise CPQ and other quoting solutions. This integration allows MSPs to deploy AI governance solutions without disrupting their current workflows or client relationships.

Scalability:

  • Flexible solutions for growing businesses
  • Adaptable frameworks for different industries
  • Easy integration with existing systems

The platform includes both restrictive and permissive AI policies to accommodate different client needs and risk profiles. This flexibility is crucial as MSPs serve clients across various industries, from heavily regulated sectors like healthcare and finance to more flexible business environments.

Regulatory Compliance:

  • Up-to-date regulatory coverage
  • Regular policy updates
  • Comprehensive compliance

Monjur actively monitors and incorporates changes in AI regulations and data privacy laws. This ensures MSPs maintain compliance with evolving requirements across different jurisdictions, from state-specific regulations to international frameworks like GDPR.

Professionalism:

  • Expert-led AI governance
  • Industry-standard best practices
  • Ongoing support and guidance

Monjur brings deep expertise in both legal and technical aspects of AI governance. We provide you with regularly updated templates, industry-specific guidance, and ongoing support for emerging AI challenges.

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Conclusion

With each passing day, more and more businesses keep adopting AI. That’s why MSPs need reliable tools and clear frameworks to handle the risks that come with it. Monjur’s Managed AI Library offers everything MSPs need to address these challenges while driving growth and innovation.

Want to protect your MSP from AI risks? Contact Monjur today to see how our Managed AI Library can safeguard your business and clients.