Jason Whitehurst
Chairman & CEO, Futuresafe
Hosted the session and explained how Futuresafe works with MSPs.
Chapters
Summary
Jason Whitehurst of Futuresafe and Paul Martini of iboss show why the standard MSP stack cannot see what clients type into AI tools, and how iboss captures prompts and applies DLP to allow, block or redirect AI use. Paul walks through the console, from policies to AI usage reports, and the session closes with questions from MSPs on adopting AI safely.
Key takeaways
- 01
The standard MSP stack cannot see inside AI.
Data moving through an app built in an AI tool did not show up in EDR, MDR, firewalls or DLP in the case Jason described.
- 02
Most AI security tools stop at the browser.
Installed apps are the most they usually reach. APIs, custom AI platforms and WebSockets stay out of view.
- 03
Decrypting every packet shows the prompt itself.
iboss can allow, block or redirect AI use, such as sending someone from an unapproved model to an approved one with a coaching message.
- 04
Reports show a client where the risk is.
The console covers shadow AI, DLP incidents and user-level prompt activity, in reports a business owner can read.
- 05
Getting started is quick.
The first device deploys in about 60 seconds, an RMM tool pushes the rest, and trials run for two weeks.
Speakers
Who you will hear
Questions after watching? Book a call and we will talk you through what you saw.
Paul Martini
iboss
Presented the iboss platform and the live console demo.
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The MSP who can see every aspect of AI takes the win.
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