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Description
Caiman Rugged Rear Shock for Suzuki King Quad 400 4x4 2008-2022, Left or RightCaiman Rugged Terrain Shocks Fits rear, left or right on the following Suzuki ATV models: 2008 2022 King Quad 400 4x4 (LT A400F LT F400F). Exceeds the strength of OEM by using twin tube construction and a heavy duty robust spring. Hard chromed piston rod, microcracks chromed surface processes and ultra precision vertical polishing, to ensure smooth contact between the piston rod and seal. High quality Japanese made oil seals, to reduce friction
Caiman Rugged Terrain Shocks
Fits rear, left or right on the following Suzuki ATV models: 2008-2022 King Quad 400 4x4 (LT-A400F/LT-F400F).
- Exceeds the strength of OEM by using twin tube construction and a heavy duty robust spring.
- Hard chromed piston rod, microcracks chromed surface processes and ultra-precision vertical polishing, to ensure smooth contact between the piston rod and seal.
- High quality Japanese made oil seals, to reduce friction between the piston rod and seal, multi-lip oil seal design to isolate external grime.
- Pressurized N2 gas, with high performance anti-foam and anti-shear used to reduce the internal wear.
- Seamless cylinder and sleeves to reduce the possibility of splitting, to ensure close contact between the piston and cylinder, no leaks, to obtain stable damping force.
- Covered under a 1 year limited manufacture warranty. Lift kit, oversize tires or other modifications will void the warranty, for use with stock equipment only.
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- We offer a 30-day return/exchange service after receiving.
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4.7 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security.
This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation.
One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered.
If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 12, 2024
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
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