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Great GPT reference
Format: Paperback
Everyone I know is seeking the best options to build AI/ML, and GPT solutions into their current offerings. The โChatGPT for Cybersecurity Cookbookโ (Packt, 2024) by Clint Bodungen offers a detailed schematic for building effective ML solutions into existing practices. The book includes ten chapters, each focusing on a different area. The areas demonstrate clear solutions for framing a solution, building effective tools and library interactions, explaining what the solution accomplishes, and offering advanced solutions. Recommend the book for anyone working to improve their ability to use ChatGpt in accelerating cybersecurity solutions.
Each section approaches a different solution but the overall format is an outstanding deep dive for each section. The analysis starts with an introduction to the roles and formats. This details how to construct the ChatGPT query with enough guidance to answer the desired question. The next step suggests how the AI/ML tools find the right answers. The last section in every chapter details a โthereโs moreโ showing how to expand the different questions. Chapters include building ChatGPT into Python language and API calls so one can not just launch a query, but have the query launch every time code executes.
All the chapters follow the same path but with different answers. This cookbook shows how roles and queries can be modified to deliver what one wants. One of the biggest benefits is seeing role construction from a cybersecurity expert with 20 years of governance experience to a threat analyst who desires to incorporate MITREโs ATT&CK frameworks. The book demonstrates how to dig into the various sections for success. Some of the later sections demonstrate how one can point ChatGPT at specific data factors, for example, the AI tool can not execute commands to find traffic data but can be pointed to already collected traffic data to summarize answers.
One key flaw to remember is ChatGPT does not solve security problems for you. The best solutions point to frameworks and potential answers. The frameworks still need to be executed by a team or individual to create effective software models, it is just a step ahead in the overall process. That same framework really shows up in the threat analysis, training, and incident response sectors. Each solution builds a format to suggest some answers if pointed at the correct data. The answers are likely to be accurate but one still may need to verify against existing data and metrics. The other gap maybe if the ChatGPT tool is not pointed at specific information, answers may be skewed to what it can achieve.
Overall, if you want a quick way to incorporate an AI/ML tool, then โChatGPT for Cybersecurity Cookbookโ provides an excellent reference. From the cookbook perspective, one gets all the recipes for various security items, what the finished product should look like, and potential areas to improve in the future. The explanations are all geared to cybersecurity Recommend this as a key reference for anyone working with ChatGPT functions.
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Reviewed in the United States on June 11, 2024
