5 AI best practices to strengthen your business security

For every new iteration of artificial intelligence (AI), a fresh wave of opportunity — and concern — follows closely behind. One of the most pressing concerns today is the impact of AI on business security, particularly when it comes to generative models and the sensitive data they can access. As organizations adopt more advanced digital tools, these security risks are only compounded by aging IT infrastructure. For instance, continuing to run on Windows 10 beyond its October 2025 End of Support deadline could leave businesses exposed to vulnerabilities that even the smartest AI tools can’t defend against. A secure, modern foundation—like Windows 11 Pro on Intel vPro®-powered devices — is becoming essential for AI to deliver its full potential safely. 

You know your business can’t be a laggard when it comes to AI if you are to remain competitive, especially as the benefits are becoming more manifest — in a recent US Chamber of Commerce survey, small business owners utilizing AI said that it has helped their business operate more efficiently (82%), compete with larger firms (77%), limit cost increases (69%), and grow in challenging conditions (69%). 

However, an IEEE survey of 350 global technology executives shows that while nearly every business wants to harness AI's potential, there's a need for education and organizational preparation along the way.

This article seeks to help you identify the major security challenges to using AI in your business as well as provide best practices on how to address them. It will also look at ways in which AI — when used properly — can in fact strengthen rather than weaken your cybersecurity.

What is the current state of AI security?

It seems like new AI technologies are rolling out much faster than regulators can set corresponding policy. However, both governments and businesses are working hard to address the new security concerns that AI presents.   

For example, regarding governmental action on AI, the White House Office of Science and Technology Policy (OSTP) in the US recently published the blueprint for an AI Bill of Rights, which outlines principles for consideration in AI design and implementation. 

In terms of enterprise responses to the situation, major AI product developers like Microsoft have already created their own blueprints or guidance for responsible AI.

However, we are still a long way from establishing overarching AI policies and guidelines, and with AI security still in its infant stages, businesses will need to be vigilant in how they regulate their own use of the technology.  

The top AI security risks for businesses 

AI tools such as ChatGPT have created unseen challenges for businesses, ranging from the technological to the legal and ethical. These challenges include:    

• Finding reliable data sets for learning and improvement, especially when dealing with sensitive information; 
• Ethical and legal questions about who is responsible for AI-influenced outcomes;   
• Ensuring the privacy of data used by AI; for example, a recent Wall Street Journal interview with OpenAI CTO Mira Murati raised concerns over the company’s seeming unwillingness to disclose – or unawareness of – where the data for its generative video tool is sourced from;   
• Bias or discrimination – The Bipartisan Policy Center has said the increasing amount of data AI used creates fears around possible misuse, such as bias against underrepresented groups in the hiring process or in AI-generated content. 

Best AI security practices for businesses 

To stay ahead of these risks and ensure secure adoption of technologies like generative AI and machine learning, it’s essential to take proactive steps in preparing both your team and IT infrastructure:  

1. Perform an in-depth analysis of your company’s current security status, assessing potential risks or gaps, then set your security objectives and priorities. 

2. Research and compare different AI solutions based on functionality and benefits. 

3. Select a use case or pilot project to first test and implement the AI solution to see the results and share feedback with the AI provider.   

4. Upskill your team through training to help them understand the value of the AI solution along with how to use it securely.   

5. Modernize your infrastructure to support AI securely. Businesses still running outdated systems risk exposure to unpatched vulnerabilities. Upgrading to Windows 11 Pro devices with Intel vPro® provides AI-ready security features and can automatically neutralize threats before they happen.

AI applications for better business security

Ethical and legal challenges aside, there are a variety of ways AI can enhance your cybersecurity from day one.  

As Top AI & Cybersecurity Voice on LinkedIn, Tom Vazdar says: “AI learns from past incidents and fine-tunes itself over time. This iterative learning allows it to predict and prevent future threats more effectively. Moreover, it aids cybersecurity teams by cutting down on false positives and managing routine tasks. This frees up the experts to concentrate on strategic defense planning. Think of AI as a tireless, ever-watchful assistant in your cybersecurity toolbox.”

Other use cases can include: 

• Using machine learning (ML) to monitor your network for anomalies and respond to threats in real time;  
• Applying deep learning to generate stronger keys and verify identities;  
• Natural language processing to scan materials such as emails and websites for potentially malicious content;  
• Utilizing computer vision to generate simulations, scenarios, and games to teach employees about cyber risks and how to cope with them. 

Conclusion

AI technologies are evolving faster than regulators can set related legislation, meaning it mostly falls on businesses to make sure they are using the technology in a secure and ethical manner. Implementing tools like generative AI without proper oversight can result in compromised personal data or biased treatment of underrepresented groups.

However, with the right balance of foresight and caution, it’s possible for companies to stay ahead of the potential problems such tools can create. At the same time, choosing technology solutions — like Windows 11 on Intel vPro®-powered devices — with AI already integrated into them can help to reduce attack surfaces in your IT infrastructure and neutralize threats before they happen, freeing up time for tech teams to attend to more high-value tasks.     

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