
MSP 1337 - Cybersecurity Maturity Journey | Guidance and Best Practices for MSPs and MSSPs Exploring AI Usage, Misconceptions, and of course Security Concerns
Jan 20, 2026
Join Alane Boyd, founder of Biggest Goal and an AI/security educator, as she dives into the complex landscape of AI. Discover the risks of free AI tools and the importance of robust AI policies for organizations. Alane clarifies how AI agents serve as autonomous digital workers and explores practical applications, from automating ticket management to enhancing vendor validation. She also emphasizes the need for mental health balance in our tech-driven lives. Tune in for insightful tips on making AI work safely for your team!
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AI Vendors Are Interconnected Partners
- Major AI vendors and cloud providers are increasingly intertwined through partnerships and investments.
- This ecosystem blending accelerates capability sharing and reduces vendor isolation.
Use Purpose-Built Models For Scoped Tasks
- Do use custom GPTs or trained projects when you need scoped answers from your own data to reduce token use and external retrieval.
- Do feed only required documents to narrow the model's context window for reliable outputs.
Context Windows Limit What Models Can Use
- Large language models have limited context windows measured in tokens, so they only 'see' a window of the data.
- Passing more documents without RAG or custom tooling quickly overwhelms the model's useful context.



