So, you have some AI tools or are thinking about deploying them and want to know a bit about securing them.

You are not alone, but there are significant challenges due to the rapidly growing capabilities of AI, and the issues around new types of vulnerabilities we may not be used to thinking of. This is a very challenging area to attempt to secure, but I hope to point you in the right direction and set you up with some resources.

Picture this: Your company just fell victim to a massive data breach. The culprit wasn't a sophisticated malware strain, a zero-day exploit, or a compromised firewall. It was a perfectly legitimate-looking login from a VP’s account, originating from an unrecognized IP address, requesting an urgent wire transfer via a spotless, text-only email.

The ClickFix social engineering technique is now the top malware delivery method, according to a new report from ReliaQuest. These attacks trick users into copying a malicious command, then pasting it into a terminal and running it on their computers.

Boxers will often say, the punches that hurt the most aren’t the ones which are thrown with the most force, but the ones they didn’t see coming. I think the same is true in cybersecurity. It’s not the most advanced technically efficient, 0-day utilizing attacks that have the biggest impact, but rather those quiet ones. With no malware or suspicious login at three in the morning from an IP address in a country your company has never done business with. No alert fires. No dashboard turns red.

I saw a venn diagram on social media. One circle is Shadow IT, one circle is Shadow AI, a substantial overlap, and the implicit message is that they are effectively the same challenge.