The intersection of ChatGPT and cybersecurity is a multifaceted and evolving one. ChatGPT, as a conversational artificial intelligence (AI) chatbot powered by advanced natural language processing (NLP), can play a significant role in both enhancing cybersecurity measures and addressing security concerns. ISACA brought this to our attention in their article, “What Enterprises Need to Know About ChatGPT and Cybersecurity.

ChatGPT can be used to provide training and educational materials on cybersecurity best practices. It can simulate real-world scenarios, to help train employees to recognize and respond to security threats effectively. It can be used to develop systems that analyze and filter out phishing emails and messages. By understanding natural language, ChatGPT can help identify suspicious or malicious content more accurately.

While ChatGPT has the potential to enhance cybersecurity, it’s important to be aware of security drawbacks related to AI as well. For instance, malicious actors might use AI, including ChatGPT, to craft more convincing phishing attacks or generate fake content. As AI technologies like ChatGPT become more integrated into the cybersecurity landscape, therefore, organizations need to strike a balance between leveraging their capabilities and mitigating the associated security risks. This requires a proactive and adaptive approach to cybersecurity focusing on the evolving threat landscape in the context of AI technologies.

The biggest challenge is that most organizations have little knowledge on how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact, and its potential biases.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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