GPT Archives - The Official Blog of Adam DiStefano, M.S., CISSP

I have successfully built and enhanced cybersecurity programs for both established international corporations and startups. I hold a Master of Science in Cyber Security and have pursued additional education through postgraduate certificates in machine learning, artificial intelligence, and cloud computing. This comprehensive knowledge enables me to bridge the gap between cybersecurity and AI, creating secure and innovative solutions that propel businesses forward. As an author, I have shared my insights on cyber security and AI in various publications. I am also an active participant in events sponsored by the Overseas Security Advisory Council on Diplomatic Security at the U.S. State Department, where I contribute to discussions on emerging security challenges and solutions.

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Leveraging GPT for Authentication: A Deep Dive into a New Realm of Cybersecurity

Posted on May 19, 2023July 3, 2023

The world of cybersecurity is always evolving, and experts are continually exploring new possibilities to secure systems and data. In recent years, Generative Pretrained Transformers (GPT) have made a significant impact on the tech world, primarily due to their profound capabilities in natural language understanding and generation. Given the audience’s familiarity with GPT models, we’ll…

Risks of Chatbot Adoption: Protecting AI Language Models from Data Leakage, Poisoning, and Attacks

Posted on April 26, 2023April 26, 2023

Artificial Intelligence is going to revolutionize the world. We are already seeing the adoption of chatbots. These can often enhance the way businesses deliver value to both their internal processes and to their customers. However, it is important we understand that the adoption of these tools do not come without new risks. In this blog…

NLP Query to SQL Query with GPT: Data Extraction for Businesses

Posted on April 18, 2023April 26, 2023

Have you ever struggled with extracting useful information from a large database? Maybe you wanted to find out how many customers bought a certain product last month, or what the total revenue was for a specific time period. It can be a daunting task to manually search through all the data and compile the results….