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China's Spy Agency Warns Foreign Forces Using AI Deepfakes to Incite Panic

2 min readSource

China's Ministry of State Security warned on Dec 27, 2025, that foreign forces are using AI deepfakes and open-source tools to steal data and incite social panic.

Seeing isn't believing anymore. China's top intelligence agency has just sounded a major alarm, claiming foreign forces are weaponizing artificial intelligence and deepfakes to trigger social chaos and swipe sensitive data.

Forged Realities and Data Breaches

According to the Ministry of State Security (MSS) on Dec 27, 2025, "hostile foreign anti-China forces" haven't just been experimenting; they've been actively deploying AI-generated videos to mislead public opinion. The agency stated these deep learning algorithms, which simulate voices and faces, now pose a direct threat to social stability and national security.

It's not just about fake news. The MSS highlighted a specific security breach where employees used open-source AI tools. These tools inadvertently allowed a foreign IP address to access and download sensitive files because the software lacked proper password protection. It’s a stark reminder that convenience often comes at the cost of vulnerability.

The Risk of Algorithmic Bias

The agency also pointed to a more subtle danger: algorithmic bias. They've warned that large language models (LLMs) can amplify discrimination if their training data is skewed, potentially distorting the public's perception of critical social issues. This makes AI not just a tool for theft, but a catalyst for internal friction.

To stay safe, the ministry's issued a set of digital hygiene rules. They're telling users to avoid processing sensitive data on web-based AI, disable cloud sharing, and clear chat histories regularly. They've also urged everyone to stay alert for AI-driven requests for personal identification or bank details.

This content is AI-generated based on source articles. While we strive for accuracy, errors may occur. We recommend verifying with the original source.

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