DeepSeek represents another example of AI language models entering the market, joining established players like ChatGPT, Claude, and Google's Gemini. DeepSeek can engage in conversations, write code, analyze data, and assist with various business tasks like these tools.
After over two decades of working with businesses on technology adoption, I've watched countless companies rush to implement the latest solutions without considering the whole picture. The excitement around new AI tools like DeepSeek is no different – especially when they promise impressive capabilities at lower costs.
Its claimed superior performance in certain areas, particularly coding and analysis, sets it apart, along with significantly lower costs. But as with many technological bargains, there's more to the story than just the reported capabilities and attractive pricing. Just today, OpenAI released another update claiming additional capability increases.
However, the security implications of adopting these tools deserve careful consideration, particularly when they come from regions with data privacy standards different from ours.
Who's Watching and Using Your AI-Generated Data?
We've spent years debating the security risks of TikTok, the Chinese-owned social media platform with access to user data and behavior patterns.
While TikTok's security concerns focus on personal data and social influence, AI systems like DeepSeek could potentially access far more sensitive business information.
Instead of just viewing your dance videos or tracking your interests, DeepSeek AI could access your business strategies, customer information, financial data, and intellectual property.
The stakes are being raised significantly higher.
Security Testing Revealed
You need to know that recent security testing by Cisco and the University of Pennsylvania researchers revealed something shocking about DeepSeek. When they tried 50 different ways to bypass its security features, every single attempt succeeded. That's a 100% failure rate, and it should get your attention.
For comparison, other leading AI platforms have robust security measures that regularly block potentially harmful requests.
Ask yourself:
If you were concerned about TikTok accessing your social media activity, how comfortable are you with an AI system like DeepSeek accessing your business's sensitive information? The risk level isn't even comparable.
Data Security Is About Context
But here's the thing about AI security – it's not one-size-fits-all. The risks depend entirely on how you're using it.
The security risks are minimal when using AI tools like ChatGPT or Claude for everyday tasks – writing marketing copy, brainstorming ideas, or analyzing public data. Think of it like using a sophisticated search engine or writing assistant. Most small businesses safely operate in this space, and the benefits often outweigh the minimal risks.
When Security Risks Escalate
Everything changes when you begin:
- Feeding customer data into AI systems
- Integrating AI with your business systems
- Handling regulated information (like healthcare or financial records)
- Processing proprietary business strategies or intellectual property
Understanding Your Data Exposure
Before using any AI system, especially one with foreign ownership, consider:
- What data are you willing to expose?
- Who might have access to this data?
- What could they learn about your business operations?
- How could this information be used?
- What are the regulatory implications for your industry?
Making Smart AI Security Decisions
Small businesses don't need a technical background to evaluate AI security. Instead, ask these practical questions:
- What sensitive information would the AI touch?
- What would a security breach cost in lost customer trust?
- How much would it cost to recover from a security incident?
- Does your industry have specific regulations about data handling?
Practical Steps You Can Take Today:
1. Start small: Test any new AI system with non-sensitive data first
2. Document everything: Keep clear records of what information you're sharing with AI
3. Set boundaries: Create clear guidelines for employees about AI usage
4. Keep backups: Maintain secure copies of essential data separate from AI systems
5. Have a plan: Know precisely what you'll do if something goes wrong
6. Review regularly: Assess your AI usage and security measures quarterly
Creating a Tiered Approach
Consider implementing a tiered strategy for AI adoption:
- Tier 1: Public information only - Use any mainstream AI tool
- Tier 2: General business information - Use only established, secure AI platforms
- Tier 3: Sensitive data - Use enterprise-grade solutions with proper security certifications
- Tier 4: Regulated data - Use specialized, compliant solutions only
Most businesses can safely use mainstream AI tools for basic tasks. When integrating it with business applications, especially those holding sensitive data, understand the risks and implement comprehensive security measures.
The key isn't to avoid AI – it's to use it wisely and understand who you trust with your data. As businesses rush to adopt AI technologies, taking time to evaluate security implications isn't just prudent – it's essential for your business assets' long-term success and protection.
Technology continues to advance. Never stop learning or availing yourself of appropriate resources to grow and safeguard your business assets.