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Soft Washable Classic Green Rug - MaudeMaude is romantic charm meets classic refinement. Woven from plush chenille, her traditional border and elegant floral pattern in sage greens, are a nod to French provincial heritage. Maude has a graceful presence, perfect for light filled lounges, romantic bedrooms or anywhere craving a little old world elegance. Understated yet sophisticated. Woven from meltingly soft recycled cotton, the rug is as practical as she is beautiful, machine washable and
Maude is romantic charm meets classic refinement. Woven from plush chenille, her traditional border and elegant floral pattern in sage greens, are a nod to French provincial heritage. Maude has a graceful presence, perfect for light-filled lounges, romantic bedrooms or anywhere craving a little old-world elegance. Understated yet sophisticated.
Woven from meltingly soft recycled cotton, the rug is as practical as she is beautiful, machine washable and always ready to handle whatever comes her way.
- Unmatched Softness in Washable
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Kukoon Washable – because style and practicality can go hand in hand.
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4.7 ★★★★★
Based on 2179 reviews
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Product Reviews
★★★★★ 5
A must-read for professionals seeking to stay ahead in a rapidly evolving landscape.
Format: Kindle
“ChatGPT for Cybersecurity Cookbook” by Clint Bodungen offers a well-organized, practical deep dive into the integration of generative AI, specifically ChatGPT, within cybersecurity. From the perspective of a cybersecurity professional, this book stands out as a valuable resource for anyone looking to modernize and automate many of the repetitive tasks in cybersecurity, such as threat analysis, vulnerability management, and policy creation.
The book’s greatest strength lies in its focus on practical, actionable “recipes.” Each chapter walks you through real-world use cases for applying ChatGPT to cybersecurity operations. For instance, Bodungen effectively demonstrates how to automate penetration testing and vulnerability assessments using AI-driven techniques, something that can significantly streamline the red team’s workflow . The book’s use of LangChain for parsing and analyzing vulnerability reports, as well as integrating AI for governance, risk, and compliance (GRC) assessments, provides blue teams with a powerful set of tools for enhancing their day-to-day operations .
One of the highlights is how the author tackles threat intelligence, using ChatGPT alongside the MITRE ATT&CK framework, which can help automate complex tasks like identifying and categorizing threat actors and their tactics, techniques, and procedures (TTPs). For any seasoned cybersecurity analyst, this can save a lot of time and reduce human error when managing large volumes of data .
However, it’s important to note that the book assumes a decent understanding of Python and core cybersecurity concepts. It’s not for absolute beginners but provides significant value for professionals looking to integrate AI into their operations more efficiently.
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Reviewed in the United States on October 17, 2024
★★★★★ 5
A Career-Changing Read for Cybersecurity Professionals
Format: Paperback
This book completely changed the trajectory of my career. As a self-taught security professional with 30 years of experience, I found myself feeling stagnant and losing interest in cybersecurity. The rapid changes in the field made me question my next steps, and I had zero knowledge of Generative AI, let alone its applications in cybersecurity.
Then, the week this book was released, I bought it—and told no one. It was my personal experiment, a chance to dive into something new. Since then, I’ve read multiple books on Generative AI for Cyber, applied the concepts, and expanded my expertise.
Today, I am considered the SME for Cyber AI in my organization, actively participating in AI working groups, and regularly speaking, mentoring, and presenting on the topic.
In fact, I was the third reviewer of this book (5 stars) and deleted the review after about a week. I didn’t want someone who knew me to connect the review to me and figure out how I got so smart on the topic so quickly. Now, I’m back, giving it the review it truly deserves.
This book reignited my passion for cybersecurity and relaunched my career. If you're in cyber and looking for a way to break through stagnation or explore the future of AI in security, this is the book that could redefine your path—just like it did for me.
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Reviewed in the United States on February 4, 2025
★★★★★ 5
Clint is the Real Deal and this is an Excellent Book!
Format: Paperback, Format: Paperback
Clint knows his stuff, and I’ve also taken his accompanying training course. This book will give you some insights in how to apply a variety of techniques around ChatGPT and other engines and how to use them effectively in your job. Highly recommended!
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Reviewed in the United States on June 21, 2024
★★★★★ 3
Happy to have the book - damaged though
Format: Paperback, Format: Paperback
Excited to dive into this book but don’t love that it’s damaged.
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Reviewed in the United States on October 19, 2024
★★★★★ 5
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 “ChatGPT for Cybersecurity Cookbook” (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 “there’s more” 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 MITRE’s 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 “ChatGPT for Cybersecurity Cookbook” 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
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