DeepSeek: A Free App with Big Security Risks

DeepSeek became a huge hit on the Apple App Store. We all loved that it was free and had super advanced features. But, before you get too excited, let's talk about the dark side. It turns out, DeepSeek has some big security problems. Cisco recently discovered that DeepSeek's R1 model was easily attacked. It had a 100% failure rate in blocking harmful prompts. This is a big deal. You need to be careful when using AI, especially if it can be manipulated to do bad things. DeepSeek was also involved in a data leak, exposing more than a million records. This includes system logs, user prompts, and API tokens. Data privacy is a big worry now. Who's to say your personal info isn't next? These issues are so serious that the U. S. Navy and Italy have banned DeepSeek. They're worried about security and privacy. The tech industry loves open-source solutions. DeepSeek is open-source, so companies can use it without paying licensing fees. It's a win for innovation. But there's a catch. DeepSeek is much cheaper than other AI models. It was developed at a much lower cost. But is it worth the risk? Some companies, like Perplexity AI and Grok, have started using DeepSeek R1. They offer it to users while keeping data safe. But how safe is it really? DeepSeek's open-source model could lead to more innovation. More companies and developers can contribute and benefit from it. But this open-source model has a downside. It makes DeepSeek vulnerable to attacks. As AI continues to grow, we need to think about safety and data protection. Developers and users need to make sure they're using AI responsibly. Let's not forget that DeepSeek did something cool. It made a big difference in AI. But we've also learned that we need to be careful. We need to balance the benefits of AI with its risks. Some people believe that DeepSeek could be a game-changer in the AI world. It's easy to see why, with its cost efficiency and impressive performance. But these features might have come at a cost. DeepSeek's models are vulnerable to algorithmic jailbreaking and misuse.