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We get a lot of questions on security and compliance, especially with AI and financial services. If we’d consider using an AI system, here are the big three things we’d look at: 1) Data Protection Is everything encrypted in transit and at rest? Where’s the data located? Are there proper controls in place, even for the physical servers? Standards like SOC 2 can help here. 2) Data Control In a lot of industries, it’s crucial to know what happens with customer data. Especially in critical situations, you need to ensure that you have control over it. You need policies that determine how long the data will be kept or when it will be destroyed. 3) Compliance Your technologies should actually be helping your compliance posture. They should provide more information that’s helpful in case you ever need to pull records out. It’s important to show that you have the client's best interest in mind. There are things like Reg BI, consumer duty in the UK, and best interest regulations that help you show you’re doing the right thing for your clients. So essentially, you end up in a better compliance situation than before. If you ever need to, you have more information available to prove that you’re doing your job well. Generally, those are the big three things we’d look at: Is your data secured properly? Do you have control over your data? Is your AI system helping with compliance requirements? As we design our systems at Zocks, that’s what we’re optimizing for. AI is a fast-changing space and has brought a lot of new, complicated things into consideration. We spend a lot of time looking into this and really thinking this through. If you have questions, throw them in the comments or reach out to me directly. ------ The privacy-first AI platform for communications. Get industry-specific data and real-time insights from conversations. Build on APIs or use out-of-the-box applications. Website: www.zocks.io/ #ai #languageanalysis #realtimecommunication