Trust, but verify: Correctly used AI must meet high requirements

Today, business leaders have significant responsibilities that include informed decision-making about AI investments and the integration of AI tools.

It’s not as simple as “just do it,” even in a world where CEOs know that without a competitive strategy, they are likely to fall behind. When thinking about how to bring AI into the mix in an organization, steps must be taken and due diligence must be exercised.

As for the security risks, just look at this List from SentinelOnea leading global cybersecurity consultant. Organizations need to think about things like data poisoning, model inversion, privacy loss, data inference, API attacks, and more when choosing their chosen technology stack with robust automation.

Then there are all the other logistics; the cost, the practicality of putting the tools in the hands of a team, etc. All of this requires careful thought. Gartner, for example, offers some surveys…