Shared Links (weekly) Nov. 9, 2025
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The pressure to become AI experts and make the organization’s rollout of AI tools secure only adds more mental load to already overloaded cybersecurity professionals.
I probably haven’t been thinking enough about how the budget for AI might come at the cost of several other IT projects and what that might mean in terms of old, insecure, and inefficient technology not being replaced.
I also understand why this happens, though. Even out-of-the-box AI tools like Copilot or ChatGPT require some level of data access and security. That’s a complicated task that, in normal times, would require a months-long project, at minimum.
Custom AI projects that require sharing data across your environment and allowing the model access to all that data in a way that shuts everyone up about what they can’t do with AI will lead to mistakes. We’re seeing them, just like when people rush other IT projects under fire to implement technology they don’t have time to understand.
So much of Copilot is work behind the scenes. The $30 per month cost per license is just the icing on the AI cake. The actual cost of ownership is the work involved in Information Governance and Security, planning, training, etc. You should never forget that when integrating any new technology, especially with AI.