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DIGISTOR Citadel C 1 TB Solid State Drive - M.2 2280 Internal - PCI Express NVMe - TAA CompliantData at rest security has never been simpler or more affordable. The DIGISTOR Citadel C 1 TB NVMe SSD is a purpose built, FIPS certified self encrypting drive (SED) that puts enterprise grade protection directly into the hardware. Designed for modern devices and demanding IT environments, Citadel C combines hardware encryption, multifactor authentication, and pre boot authentication (PBA) into a single, minutely managed solution. This means your
Data at rest security has never been simpler or more affordable. The DIGISTOR Citadel C 1 TB NVMe SSD is a purpose-built, FIPS-certified self-encrypting drive (SED) that puts enterprise-grade protection directly into the hardware. Designed for modern devices and demanding IT environments, Citadel C combines hardware encryption, multifactor authentication, and pre-boot authentication (PBA) into a single, minutely managed solution. This means your sensitive data remains protected even if the device is lost or stolen, while staying compliant with stringent government and industry requirements. Powered by Cigen, this drive delivers a comprehensive security stack without the complexity or high cost often associated with advanced data protection. In short, Citadel C C1 TB is a secure, reliable, and procurement-friendly option for organizations that demand robust data-at-rest protection without sacrificing performance or ease of deployment.
- Uncompromising data protection at rest. The Citadel C 1 TB combines hardware-based encryption with FIPS-certified compliance to secure every byte stored on the drive. With AES-based encryption implemented in hardware, sensitive information remains protected even in the event of physical loss or theft, helping organizations meet strict regulatory and contractual obligations.
- Multifactor authentication and pre-boot authentication (PBA). Access to the drive is protected by multifactor authentication and PBA, which prevents unauthorized access before the operating system boots. This layered approach reduces the risk of credential theft, insider threats, and boot-level attacks while maintaining seamless user workflows for legitimate administrators and end users.
- M.2 2280 form factor with PCIe NVMe performance. The 1 TB Citadel C is engineered for modern laptops, workstations, and compact desktops that demand strong security without sacrificing speed. Its PCIe NVMe interface delivers high-throughput performance in a compact M.2 2280 package, enabling fast OS boots, rapid application loading, and smooth data-intensive tasks while preserving security features.
- TAA compliance for government and regulated sectors. The drive is designed to meet Trade Agreements Act (TAA) requirements, making it suitable for procurement in government, defense, and other regulated environments. This compliance simplifies acquisitions, audits, and ongoing governance while delivering enterprise-grade security in a compact device.
- Cost-effective, turnkey security. Citadel C provides a complete security solution without relying on expensive software licenses or intricate infrastructure. The combination of hardware encryption, PBA, MFA, and built-in security features reduces total cost of ownership while delivering robust protection and simpler deployment across mixed environments.
Technical Details of DIGISTOR Citadel C 1 TB
- Device Type: Solid State Drive (SSD)
- Capacity: 1 TB
- Form Factor: M.2 2280
- Interface: PCI Express NVMe
- Security: FIPS-certified self-encrypting drive (SED) with hardware encryption
- Authentication: Multifactor authentication and Pre-boot Authentication (PBA)
- Compliance: TAA Compliant
- Brand/Series: DIGISTOR Citadel C
How to install DIGISTOR Citadel C 1 TB
- Power down the host device and disconnect from power sources. Ground yourself to prevent static discharge before handling hardware components.
- Locate the M.2 2280 slot on the motherboard or supported expansion card. If your system uses a heat sink or shielding, remove it carefully to access the slot.
- Insert the Citadel C 1 TB into the M.2 slot at a slight angle, aligning the notch with the connector. Gently push the drive down toward the motherboard until it rests with the mounting hole aligned.
- Secure the drive with the M.2 mounting screw or standoff as required by your chassis. Reinstall any heatsinks or covers removed earlier.
- Power on the system and enter the BIOS/UEFI. Ensure the NVMe drive is detected and set as needed for boot or storage usage. Enable any required NVMe support or security-related BIOS options if your environment requires them.
- Boot into the operating system and initialize the drive. If you are using the Citadel C’s pre-boot authentication, follow the on-screen prompts to enroll your authentication factors and configure the PBA workflow as directed by your IT administrator.
- Install any recommended firmware updates for the drive and ensure your authentication keys or tokens are securely stored in your organization’s credential management system. Verify encryption is active and that access requires the configured MFA/PBA credentials.
- Test access using legitimate credentials and confirm that data appears encrypted at rest. Run a basic security check and ensure that the drive is functioning correctly within your environment’s backup and restore workflows.
Frequently asked questions
- What is the DIGISTOR Citadel C 1 TB? It is a 1 TB M.2 2280 PCIe NVMe solid-state drive featuring FIPS-certified hardware encryption, multifactor authentication, and pre-boot authentication to protect data at rest. It is designed for secure deployments in government, regulated industries, and enterprise environments while remaining cost-effective.
- How does multifactor authentication work with this drive? The Citadel C requires multiple authentication factors to unlock access to the encrypted data. This typically includes something you know (a passphrase) and additional factors such as a token or smart card, combined with pre-boot authentication to prevent access before the operating system loads.
- Is the Citadel C 1 TB compatible with Windows, macOS, and Linux? The drive uses standard PCIe NVMe interfaces and, as a hardware-encrypted SED, is designed to function across common operating systems. Specific compatibility and setup for PBA/MFA may require administrator configuration and management tooling depending on the OS and security policies.
- What does TAA compliance mean for my procurement? TAA compliance indicates the drive meets procurement requirements for government and other regulated agencies. It helps simplify audits, contract compliance, and vendor verifications when purchasing for official use.
- Do I need to purchase additional software to use encryption? The Citadel C is a turnkey hardware-encrypted solution with integrated PBA and MFA. While it minimizes software dependencies, certain enterprise deployments may use credential management or identity solutions to integrate MFA tokens or smart cards with the pre-boot process.
- What are best practices for securing the Citadel C 1 TB in production? Follow standard security practices: securely store recovery keys and credentials, maintain up-to-date firmware, restrict physical access to devices, monitor access logs, and align deployment with your organization’s data protection and incident response policies.
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4.1 ★★★★★
Based on 24 reviews
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Product Reviews
★★★★★ 5
Very well built
Color: White
Yes it was really nice my granddaughter love's the jewelery box
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Reviewed in the United States on November 18, 2025
★★★★★ 4
Lots of storage space, great mirrors, has paint scent
Color: White
You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll.
So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings.
Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily.
The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.)
So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
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Reviewed in the United States on October 18, 2025
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it.
For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would.
The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is.
This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
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Reviewed in the United States on March 17, 2026
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier.
Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas.
However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon).
As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful.
Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics).
I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book.
In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience.
If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference.
I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance:
The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals).
Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning.
Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time.
And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020