AI Dependency: Navigating Security Pitfalls Amid China’s DeepSeek Phenomenon

By Dan Evert, CCNP   Published: 05/01/25   Updated: 11/02/26   3 min read

AI Dependency: Navigating Security Pitfalls Amid China’s DeepSeek Phenomenon

Summary

Introduction: China’s AI Breakout

DeepSeek, an AI startup based in Hangzhou, became a global story in January 2025 when its R1 reasoning model matched leading U.S. models on several tests at a fraction of the reported cost. Its chatbot app shot to the top of app store charts. It also set off a wave of security warnings.

DeepSeek Explained

What DeepSeek Is

DeepSeek is a company, not a trend. It builds large language models and releases many of them openly, so anyone can download and run them. Its hosted chatbot and app store its data on servers in China, which is where many security concerns start.

What Researchers Found

Researchers at Wiz found a DeepSeek database left open on the internet with chat histories, API keys and backend details. Other teams found weak safety guardrails that let the model be jailbroken easily. A chatbot that leaks data and ignores its own guardrails is a bad place for company secrets. Mobile security firm NowSecure also reported that the iOS app sent some data without encryption.

AI-Specific Risks

Why AI Tools Need Their Own Defenses

AI systems face attacks that ordinary software does not. Training data can be poisoned. Prompts can be crafted to make a model ignore its rules or leak information. When staff paste internal documents into a chatbot, that data leaves the company’s control. These risks apply to any AI tool, but they are sharper when the provider sits under another country’s data laws.

Government and Industry Response

Italy’s data protection authority blocked DeepSeek’s app, and Australia, South Korea, Taiwan and several U.S. agencies and states banned it on government devices. In China, the government is backing AI development heavily, and DeepSeek’s success has added to that push.

Striking a Balance: Innovation vs. Security

AI can make work faster. The question is how to use it without creating new holes. That means deciding which tools staff may use and what data they may share, and checking where that data goes.

Security has to be part of how AI is adopted, not something added after a leak.

The DeepSeek Lesson

DeepSeek showed how fast Chinese AI developers are moving and how quickly a new tool can spread before anyone has checked it. Its early security failures were basic ones: an exposed database and weak encryption. Those are fixable. The harder questions are about data control and trust.

For companies, the lesson is simple. Vet AI tools the same way you vet any other vendor.

Stay Current

Newer CyberExperts coverage on this topic

This article still works as background. If you want the current picture, start with the freshest related coverage below and today's brief.

Latest Daily Brief

Friday’s brief: Apache’s HTTP/2 fix, then Check Point break-ins, a ScreenConnect add-on and a GitHub secret stealer

The fastest way to catch up on what changed after this article was published.

Read Today's Brief

Dan Evert, CCNP

Dan Evert is a self proclaimed Router Jockey. Dan got heavily involved in networking right out of high school and has never looked back! Dan is giving back by working with high school students to get them involved and interested in Networking and Security.