FEATURE: STRATEGY

Trinity Davis, Managing Director of Strategic Intelligence, 360 Privacy, shares what time in tech has taught him so far.

In 2022, a large Fortune 100 manufacturing company made more money selling data than selling their product. It’ s a big issue. In fact, selling data( known as data brokering) is now a $ 270 billion industry.

In the United States, there’ s no nationwide data privacy law like they have in the EU with GDPR. Instead, we have around 20 states each with their own rules and regulations, and they’ re all a bit different, which makes it challenging for companies to stay current and for regular people to understand what protections are in place. For example, some states require businesses to obtain your permission before collecting data( opting in), while in other states it’ s okay to collect your data unless you request a stop or opt out. This creates confusion and provides uneven protection for citizens.

The challenge is that almost every business has adopted selling data as a secondary revenue stream.

I come from the client side. Before joining 360 Privacy, I served as the operational security lead for two organizations where I was responsible for protecting not only the executives but their families. In that role, I used the 360 Privacy platform to help secure the digital lives of my clients. So, I understand the security space from both the client and provider perspectives. I can speak directly to the challenges clients are facing because I too face them and can guide them through solutions based on real-time trends and the evolving tactics that we’ re seeing from bad actors. Those conversations with clients give me valuable insight into emerging issues, which I bring back to our teams to help design targeted solutions or mitigation strategies on how to solve the problems clients are facing that we may not have seen yet.

As AI continues to advance, what’ s the impact on digital identity and reputation?

AI is a serious concern, especially given how quickly it’ s evolving. Since AI is fueled by big data, we’ re seeing some language models return personally identifiable information( PII) that appears to be pulled

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