Somewhere between the positions of "AI is going to change everything" and "AI is currently an overhyped means of propping up silicon valley unicorn valuations" lives a useful reality: AI research is producing tools that can be exploited safely, meaningfully, and responsibly. They can save you money, speed up delivery, and create new opportunities that might not otherwise exist. The trick is understanding what they can do well and what is a big, red flag.

Everyone knows security is important. Very few organizations have a robust and comprehensive sense of whose responsibility it is, however. The consequence is that they have ducttapped systems and a Policy of Hope that there will be no issues. (Spoiler: there will be) We will review the various roles that most organizations need to fill and probably are currently not doing so. We will also focus on how the roles overlap and what should and can be expected from each of them.

In today’s environment, the rapidly accelerating pace of artificial intelligence (AI) development has left many tech leaders feeling overwhelmed by both the potential benefits and the lurking risks. As the media often fuels misconceptions and sensationalism, navigating the real-world impact of AI on business strategy becomes challenging. You’re likely balancing two key priorities: seizing the opportunity to boost productivity and reduce costs, while ensuring your company avoids the kinds of embarrassing missteps that could end up splashed across the headlines.