Trending November 2023 # What Is Huggingchat? Benefits, Limitations, Use & More # Suggested December 2023 # Top 12 Popular

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Discover the benefits, limitations, and how HuggingChat works. Find out why developers, entrepreneurs, and curious minds alike are choosing HuggingChat.

Are you tired of chatbots that lack personality and feel impersonal? Meet HuggingChat, an open-source AI assistant developed by Hugging Face. With HuggingChat, you can experience a chatbot with a friendly, human-like personality that can understand and respond to natural language queries from users. But what exactly is HuggingChat, and how does it work? In this article, we’ll explore the benefits and limitations of HuggingChat, its features, and how to get started with it. Whether you’re a developer, entrepreneur, or just someone curious about AI, read on to discover what HuggingChat has to offer.

More To See: What is Neeva AI?

HuggingChat is an AI-powered chatbot developed by Hugging Face, an AI startup that aims to make AI accessible to everyone. It is an open-source alternative to ChatGPT, an AI-powered chatbot developed by OpenAI. HuggingChat can handle many of the tasks ChatGPT can, such as writing code, drafting emails, and composing rap lyrics. HuggingChat is available to test through a web interface and can be integrated with existing apps and services via Hugging Face’s API.

HuggingChat’s model is based on Meta’s LLaMA, which is not permitted to be used commercially. HuggingChat is essentially a user interface that allows people to interact with an open-source chat assistant dubbed Open Assistant. The AI model driving HuggingChat was developed by Open Assistant, a project organized by LAION, the German nonprofit responsible for creating the data set with which Stable Diffusion, the text-to-image AI model, was trained. Open Assistant aims to replicate ChatGPT, but the group is made up mostly of volunteers and has a long way to go. HuggingChat will soon allow users the ability to plug in new chat models.

Hugging Face’s goal is to provide an AI assistant with a friendly, human-like personality and the ability to understand and respond to natural language queries from users. With HuggingChat, you can enjoy an AI assistant that is open-source and accessible to everyone. HuggingChat is not limited to just one task; it can handle many of the tasks that ChatGPT can. Plus, with HuggingChat’s easy-to-use web interface and API integration, you can easily integrate it with your existing apps and services.

See More: What is GPT-2 Output Detector? How Does It Work?

Friendly, human-like personality

Ability to understand and respond to natural language queries from users

Open-source and accessible to everyone

Handles many of the tasks that ChatGPT can

Easy-to-use web interface

API integration with existing apps and services

At the moment, HuggingChat has significant limitations, and licensing issues need to be worked out before it can be used commercially. HuggingChat’s model is based on Meta’s LLaMA, which is not permitted to be used commercially. HuggingChat’s developers are working on resolving these licensing issues, so stay tuned for updates.

Also Useful: AutoGPT Tutorial: Automate Coding Tasks with AI

Getting started with HuggingChat is easy. Simply visit the Hugging Face website, chúng tôi and access the best open-source AI chat models available to everyone, including HuggingChat. You can test HuggingChat through a web interface and integrate it with your existing apps and services via Hugging Face’s API.

HuggingChat is an open-source AI assistant developed by Hugging Face that aims to provide users with a friendly, human-like personality and the ability to understand and respond to natural language queries. With HuggingChat, you can enjoy an AI assistant that is accessible to everyone and can handle many of the tasks that ChatGPT can. While there are limitations at the moment, HuggingChat’s developers are working on resolving licensing issues, so stay tuned for updates. Get started with HuggingChat today and experience a chatbot that

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What Is Windows Pe? Use, Limitations, Download And More

Windows PE or Windows Preinstallation Environment is a lightweight OS environment from Microsoft which can deploy and recover Windows Installation on multiple computers. If I say that setting up Windows 10 on your computer is easy as compared to setting up a machine in an office environment, most of you would agree. Microsoft has built an operating system that one can use to install, deploy Windows on multiple computers. It can also be used to repair Windows 10 desktop editions including Home, Pro, Enterprise and Education. In this post, I will touch upon in brief what Windows PE is.

What is Windows PE

Windows PE is not an operating system you can use it as the standard one. One should only use it to deploy and recover. Even though it’s lightweight, you will not be able to use it also as an embedded OS. Microsoft had made sure that PE will stop running after 72 hours of continuous use. When you start it again, all changes will be lost including registry changes.

If you want to have something permanent, you will need to mount and customize it.

What can you do with Windows PE

Set up a hard drive before installing Windows.

Use Scripts or apps to Install Windows over a network or a local drive.

Capture and apply Windows images.

Use it to modify the OS while it’s not running.

Set up automatic recovery tools.

If the device cannot boot, you can recover data using it.

Add your custom shell or GUI to automate these kinds of tasks.

Create a Windows PE Rescue Disk.

Since you can do all these, it is evident that Windows PE does support a lot of features of the OS. It includes batch files, scripts, applications including Win32, generic drivers, networking protocols such as TCP/IT, NetBIOS over TCP/IP via LAN. It also supports  NTFS, DiskPart tool, and BCD Boot. When it comes to security, you can use BitLocker, TPM, Secure Boot, and others. Lastly, you can also use VHD, mouse integration, etc. which allows PE to run in a hypervisor.

However, there is no support for Terminal, Network domain, Remote desktop, MSI extension, 64bit over 32 bit and adding app packages through DISM.

Windows PE Size Limitations

Since Windows PE installation uses FAT 32, it creates a limitation. You can use a  maximum 4GB file size and maximum 32GB drive size. Even if you have a drive of more than 32 GB, it will still use only 32GB space. You can either create multiple partitions in the USB drive or use a separate USB for the image or use the image from a network location.

Where can you download Windows PE

At the minimum, you will need 512 MB of RAM, i.e., no hard disk required. But you will need RAM disk boot which can hold the entire Windows PE image. Also note that 32-bit Windows PE works with 32-bit UEFI and BIOS PCs, and 64-bit BIOS PCs while 64-bit Windows PE can boot 64-bit UEFI and BIOS PCs.

Starting with the Windows 10 October Update; Windows is now an add-on to the Windows Assessment and Deployment Kit. You’ll have to create a bootable WinPE USB flash drive, CD, DVD, or virtual hard drive. The files you need to develop WinPE media are included in the Winpe Add-on to the Windows Assessment and Deployment Kit.

To create WinPE media, you’ll have to install the ADK with the Deployment tools option and then install the WindowsPE addon kit.

Now read: What is Windows RE?

What Is Chatgpt? Best Uses And Limitations Of The Chatbot

blog / Artificial Intelligence and Machine Learning What is ChatGPT? Top Capabilities and Limitations You Must Know

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According to MarketsandMarkets research, the global chatbot market is expected to reach $10.5 billion by 2026, at a CAGR of 23.5%. However, with the latest ChatGPT Artificial Intelligence (AI) innovation gaining 1 million users in a week, it seems the market is geared to expand at an even faster rate. Now coming to the obvious question, what is ChatGPT? It is a GPT-3-based natural language processing tool that allows users to have human-like conversations with an AI chatbot. It’s like having your personal genie in a digital bottle, always ready to offer a helping hand. 

Curious to know more? Read on to learn about this latest innovation in the field of AI.

ChatGPT Examples: Questions to Ask

Users can ask all kinds of questions to ChatGPT to get straightforward and uncluttered responses in return. For example, you can use the tool as an encyclopedia and ask questions. For instance, “define Newton’s laws of motion” or “write a poem”. Additionally, you may ask the AI tool to design a computer program and demonstrate all the different combinations to arrange the letters of a word.

Who Created ChatGPT?

ChatGPT is Open AI’s brainchild. Open AI is an artificial intelligence research startup organization whose mission is to create an AI system that is safe and beneficial. 

The company has previously made headlines with GPT-3, which can produce text that sounds like it was written by a human, and DALL-E (a generative AI tool), which creates AI art/digital images from natural language descriptions. 

How Does ChatGPT Work?

With an understanding of what is ChatGPT, let’s explore how it works. At its foundation, ChatGPT is a GPT3 and GPT 3.5-based large language model. This AI tool applies machine learning algorithms to a massive corpus of text to respond to users’ requests using language that sounds surprisingly human-like.  

According to OpenAI, ChatGPT enhances its capability through reinforcement learning, which depends on human feedback. The business hires human AI trainers to interact with the model while assuming the roles of both a user and a chatbot. Trainers compare responses given by ChatGPT to human replies and grade their quality to reinforce human-like conversation approaches. 

Will ChatGPT Replace Google as an “Answer Engine”?

It can be helpful to ask questions to a computer and receive prompt responses, and ChatGPT does exactly that. Google typically provides users with links to websites it considers to be relevant as well as its own proposed answers to user inquiries. Often, ChatGPT responses surpass Google’s recommendations as it uses the latest, well-trained AI algorithms.  

However, before trusting ChatGPT replies, users should confirm the information from authentic sources. Verifying the accuracy of ChatGPT answers takes effort because, unlike Google, it uses raw text without any links or citations. Moreover, as ChatGPT continues to make progress, Google is also building large language models of its own and using AI extensively in its search algorithms. 

Therefore, to think that ChatGPT will replace Google’s answer engine sounds a bit far-fetched, but it is definitely showing the way toward it. 

What are ChatGPT’s Limitations?

Wrong Answers

ChatGPT is a large language model that is continuously being trained to increase the accuracy of responses. However, since it is a brand-new tech, the model has not yet undergone sufficient training. Therefore, the AI chatbot may provide wrong answers. Due to this, StackOverflow has banned ChatGPT, saying: “Overall, because the average rate of getting correct answers from ChatGPT is too low, the posting of answers created by ChatGPT is substantially harmful to our site and to users who are asking or looking for correct answers.”

Limitations in Training Data and Bias Issues

Like many AI models, ChatGPT has limitations in its training data. Both the constraints in training data and bias in the data can create a negative impact on the model’s output. In fact, ChatGPT has shown bias when it comes to training minority data groups. Therefore, it’s important to improve the data transparency of the models to reduce bias in this technology.


On Twitter, there is a conversation thread regarding how many Graphics Processing Units (GPUs) are required to run ChatGPT. The takeaway here is that running ChatGPT is highly expensive. Given that ChatGPT is a free product, a lot of questions are currently being raised on how sustainable the technology is in the long run. 

What Can You Create With ChatGPT?

Besides providing responses to human queries, ChatGPT can be used to do the following:

Create Content

ChatGPT can be used for content creation, as it can easily write content based on a prompt. For instance, the AI tool can write a song based on a user’s command. Moreover, ChatGPT can also help users to add a touch of elegance to their writing style and achieve their literary goals.

Generate AI Art

Since the introduction of DALLE-2, Midjourney, and other artistic AI tools, AI art generators have been at the forefront of the creation of artistic images. Moving ahead, OpenAI’s ChatGPT has enormous potential in producing richly detailed Augmented Reality (AR) scenarios, when prompted.

Write Code and Debug

ChatGPT can process code, write code, and help developers debug codes as well. For instance, it can be used to generate SQL queries. Since knowledge of SQL is imperative for data scientists, using ChatGPT to enhance SQL skills can accelerate your career and take it to the next level.

Manage and Manipulate Data

Unstructured data is hard to sort, manage, and organize, making it redundant. ChatGPT comes to the rescue as it can convert unstructured data into a structured format by manipulating data. For instance, the tool can be used to add data to a table, make indexes, and understand JSON queries. 

Explain and Tutor

It is interesting how well ChatGPT can explain words, code, and even physics. As the AI tutor capabilities of ChatGPT develop and become more refined in the coming years, it can dramatically alter the way students interact with the outside world. 

Consequently, ChatGPT will also have a huge impact on the education tech industry. Many edtech companies can now teach the fundamentals of a topic and make use of ChatGPT to offer students a platform to ask questions and clear their doubts. 

ALSO READ: 12 Workplace Trends to Expect in 2023

How Can I Get Started Using ChatGPT?

In spite of its limitations, ChatGPT is demonstrating its suitability in meaningful use cases. Therefore, businesses are looking forward to leveraging it for commercial purposes. Hence, now is the ideal time for enthusiasts to learn about the latest trends and exciting opportunities in this field. To further understand the tech that is powering such innovations, check out Emeritus’ world-class AI and ML online courses spanning the latest industry topics and innovations. 

By Rupam Deb 

Write to us at [email protected]

What Is Hybrid Cloud? Defination, Advantages And Benefits

According to a survey conducted by Tech Pro Research, 68% of people using the Internet know what a Hybrid Cloud is. However, the sample size was just 138 and constituted people interested in the Information Technology field.  I am not inclined to agree that 65% of IT people understand hybrid clouds because most of them are yet to understand all the concepts and facts of cloud computing (when we consider IT people all from over the world). In many countries, business houses do not go for cloud computing due to one or more reasons. One of the primary reasons is the lack of trust in public clouds.

Probably, individuals in such countries understand cloud computing and use it too (OneDrive, Google Drive, etc.). But Amazon, Azure, etc. find almost no subscribers from such countries. Reason? Lack of proper understanding of cloud computing concepts and again, fear of data being stolen and loss of data.

What is Hybrid Cloud

There are public clouds and there are private clouds. In between the two, lies the Hybrid cloud.

OneDrive, Google Drive, etc. are public clouds where people share the same servers. The specialty of the cloud is that it can increase and decrease the service as and when needed. The same applies to Azure, Amazon, and Ubuntu clouds. You will agree that OneDrive and Google Drive (and similar storage services like Mozy) etc. are more popular as they fit for both business houses and individuals. My entire Office is stored on OneDrive. I am using it since the time Microsoft was offering a whopping 25GB for free under the SkyDrive name. Thus, I can access it from any part of the world.

Anyway, coming back to what is Hybrid Cloud, we have to first understand public and private clouds. The clouds that you see in the form of OneDrive, Google Drive, Canonical, etc. are the most popular public clouds. They are called public because data is stored on the same servers irrespective of where the person lives or what he or she is storing. There are concerns if the service provider can look into the data being stored (which is again a deterrent for cloud usage).

In other words,

The cloud service can be used by anyone simply by signing up for the service

The cloud service can be expanded and reduced simply by changing plans

Space occupied is provided and released in real-time on the clouds

There is no or minimal manual intervention

Unless otherwise stated in T&C, the cloud service provider cannot look into the data being stored by the users. If he does, it will be categorized as a breach of trust.

However, looking at the last point, government rules can coerce the cloud provider to provide data about a client to the federal agencies or others related to it – without the knowledge of the user. Thus, the breach of data factor is not feasible to implement.

Private clouds are safer when it comes to storing data. Please note that I’ve been using the storage of data as an example as it is easier to understand. Cloud computing, as such, can be anything from storage of data to providing a platform as a service where users can not only create their programs but test them under different conditions.

But implementing a private cloud is a complicated process. You’ll need additional servers and that is just the beginning. You need IT admins who understand the concepts and features of the cloud. Then you would need programmers who can create and maintain software where human interference is negligible. Then, the cloud should be made accessible to all the branches of the organization. Finally, you have to take care of hackers, etc. and make the cloud as hacker-proof as possible.

To avoid all these complications, organizations tend to use hybrid clouds. That is, some of the processes of the organization run on the private cloud while others run on complicated clouds such as Azure.

Hybrid Cloud definition

There is no solid definition for hybrid clouds. Actually, there is no solid definition for cloud computing. There are different explanations that talk about the criteria of cloud computing. And these criteria too, vary based upon the perspectives of users. Anyway, I will try to define a hybrid cloud as follows:

“Any cloud computing service that employs use of both public and private clouds is known as hybrid cloud”.

Further, the question arises as to why the Hybrid cloud. We talked about the private cloud above and found that it is very complicated. A hybrid cloud runs simple processes on own private cloud and uses public clouds for complicated processes. That way, you cut down on not only expenses but also on different complications that may hinder or delay your business processes.

While you can build a private cloud (for use with a Hybrid cloud) on your own, many companies (such as IBM) provide their own engineers to streamline your private cloud with the public cloud. That again saves on expenses while relieving you from hunting for proper know-how to set up your private cloud that is used in conjunction with any public cloud.

To sum up:

Hybrid clouds use both private and public clouds

Hybrid clouds employ an on-premise cloud which is used with public clouds to avoid heavy expenses on programming and maintenance

Hybrid clouds offer better, reliable safety to data and processes as the complicated data is processed on safe public clouds (though many people are still skeptical about this aspect)

The only problem with clouds is that the legal rules vary across countries. In the case of cloud computing, if any dispute arises, the rules of the area where the service providers registered their service, apply. This is why Microsoft stresses on the universalization of legal rules and regulations across the globe. It would make it easier for both service providers and clients if that is achieved.

On-premise infrastructure

No latency due to internet traffic

Faster processing time as some data is processed locally and thus you save time when compared to all data processed on the cloud. You have to upload data and download results. It takes time

Complicated processes run on the public cloud so saves expenses and management of infrastructure

You can use a private cloud all the year and extend your public cloud usage as and when required, instead of building or extending on-premises infrastructure.


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What Is Hashing In Cybersecurity? Learn The Benefits And Types

blog / Cybersecurity Want to Know What is Hashing in Cybersecurity? The Ultimate Guide

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To safeguard its data, any organization must prevent malware attacks. A crucial way of doing this is for businesses to implement hashing algorithms in their cyber systems to ensure security. We look closely at what is hashing in cybersecurity, its purpose, and other associated details. 

What is Hashing in Cybersecurity?

In computer science and cryptography, a hash function is a deterministic procedure that takes an input (or “message”) and returns a string of characters of a fixed size—which is usually a “digest”—that is unique to the input. 

A hash function is used in many cybersecurity algorithms and protocols, such as password storage and digital signature. Hashing is also used in a data structure, such as a hash table (a data structure that stores data), for a quick search and insertion.

The Purpose of Hashing

Learning the answer to the question about what is hashing in cybersecurity can help a professional use hashing algorithms for data encryption and data security. Cybersecurity professionals convert a large block of input data using the hashing algorithm into a smaller fixed-length string as the final output. 

Businesses always want to secure their data servers and cloud storage systems from vulnerabilities to malicious software. Hashing helps cybersecurity professionals ensure that the data stored on servers and cloud storage systems remains unreadable by hackers.

What is Hashing Used for?

Hashing is a one-way function that turns a file or string of text into a unique digest of the message. The hash value is calculated by a hashing algorithm using the binary data of a particular file. Now let’s look at the different uses that hashing has in cybersecurity. 

Storage Password

Hashes provide security to an organization’s cyber system so that hackers cannot steal it; for example, email passwords stored on servers.

Digital Signatures

Hashing is a way to encrypt and decrypt digital signatures, verifying the message’s sender and receiver.

Document Management

The authenticity of data can be verified with the use of hashing algorithms. When a document is entirely written, the cybersecurity specialist will use a hash to secure it.

File Management

Businesses use hashes to index data, recognize files, and erase duplicate files. An organization can save significant time utilizing hashes when working with a cyber system with thousands of files.

A Hashing Example

Suppose you are a cybersecurity professional and wish to digitally sign a piece of software before making it accessible for download on your website. To do so, you will generate a hash of the script or a software application you are signing and then generate another hash after adding your digital signature. Then, the whole thing is encoded in a way that makes it possible to download it.

Types of Hashing in Cybersecurity

As a cybersecurity professional, you can select from a wide variety of different types of hashing. Some of the most widely used for decryption are described below:

1. MD5

The Message Digest hashing algorithm’s fifth iteration is MD5, which creates a 128-bit hash function.

2. SHA-1

SHA-1, the first iteration of the Secure Hash Algorithm, generates a hash function output that is 160 bits long. This SHA is one of the primary hashing algorithms used by professionals in the field of computer science.

3. SHA-2

SHA-2 is not just one hashing algorithm. Instead, it is a group of four algorithms: SHA-224, SHA-256, SHA-384, and SHA-512. The name of each hashing algorithm is the same as the bit output it generates.

4. CRC32

The CRC32 hashing algorithm uses a Cyclic Redundancy Check (CRC) as its primary method for identifying unauthorized changes to data that has been saved. When data is encoded using CRC32, the output hash value will always be of a consistent length. Hashing is performed with the CRC32 method on Zip file formats and File Transfer Protocol (FTP) servers.

ALSO READ: What is Cybersecurity and Why is it a Great Career Choice for You

Benefits of Hashing in Cybersecurity

Hashes are helpful for cybersecurity professionals to discover a threat on a computer system. It also helps them to investigate the entire cyber network to determine whether or not a particular file is present. The following pointers will further help you understand why hashing is essential in cybersecurity.

Hashing is a technique used in database management systems to search for the location of data without making use of an index structure

It makes it easy to determine whether or not two files in a computer system are the same

The retrieval and processing of data can be done very quickly with hash tables 

Hash gives a consistent amount of time on average for performing operations such as searching, inserting, and deleting data

Limitations of Hashing in Cybersecurity

Let’s also look at some drawbacks of using hashing in cybersecurity.

Hash algorithms cannot process null values (where the value is missing)

The implementation of hash tables can be difficult

When there are a large number of collisions (two data pieces in a hash table sharing the same hash value), hash becomes inefficient

Common Hashing Algorithms LANMAN

The Microsoft LAN Manager hashing algorithm, more commonly referred to as LANMAN, is primarily responsible for storing passwords.


The NT LAN Manager hashing algorithm is another name for the NTLM, which goes by both names. NTLM is quickly replacing LANMAN as the standard authentication method because of its ability to generate password hashes.


It is a hashing algorithm that uses much computing processing power and takes a long time to make a hash compared to other algorithms.


The Ethereum network developed and deployed a proof-of-work mining algorithm known as Ethash to ensure the integrity of the blockchain.

Hashing vs. Encryption

Significant differences between hashing and encryption are visible in their respective functionalities.


Encryption is a two-way process using an encryption key to scramble information. In contrast, a decryption key is used to unscramble the information after it has been encrypted by a user. On the other hand, hashing is a one-way function that turns a file or string of text into a unique digest of the message.


Data is mapped to an output of fixed size using hash functions, referred to as hashing. It is employed to confirm the integrity of files containing data. In the case of encryption, the message is encrypted so that only those users with the proper authorization can read it.

Primary Function

Verification of data and ensuring its integrity is the primary goal of hashing. On the other hand, encryption’s primary function is to ensure the confidentiality of data transmission by providing efficient protection facilities.

Gain a Deeper Insight Into Cybersecurity

Hashing in cybersecurity is a convenient option to prevent security threats to your system. To get the knowledge to do so, along with learning more about other aspects of cybersecurity, enroll in the online cybersecurity courses offered by Emeritus. It will not only help you gain expertise in hashing algorithms but also help you build a career in this specialization. 

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What Is Fast Identity Online (Fido)? (Benefits, Is It Secure, How Does It Work)

What is FIDO?

FIDO (Fast ID Online) is a collection of technology-neutral solid authentication security protocols. The FIDO Alliance, a non-profit organization dedicated to standardizing authentication at the client and protocol layers, created FIDO.

The FIDO specifications support multifactor authentication (MFA) and public-key cryptography. FIDO keeps it locally on the user’s device to protect personally-identifying information (PII), such as biometric authentication data, rather than in a password database.

The Universal Authentication Framework (UAF) and the Universal Second Factor (U2F) protocols are supported by FIDO. During registration with an online service, the client device establishes a new key pair using UAF and keeps the private key; the public key is registered with the online service.

During authentication, the client device verifies ownership of the service’s private key by signing a challenge, which entails a user-friendly action like submitting a fingerprint, entering a PIN, snapping a picture, or speaking into a microphone.

Benefits for Your Organization

FIDO authentication reduce the risks and damages of a data breach. Google Accounts, GitHub, Dropbox Twitter, and Yahoo Japan are just a few of the Web’s most popular tools and apps that use FIDO authentication.

Benefit for users − Users benefit from quick and secure authentication flows.

Benefit for developers − Simple APIs can be used by app and web developers to authenticate users securely.

Benefit for Businesses − Site owners and service providers can better protect users.

How Does FIDO Authentication Work?

A dependent party interacts with a user’s authenticator via APIs in a FIDO authentication pathway. Your service, which consists of a back-end server and a front-end application, is the reliant party.

A FIDO authenticator generates user credentials. A public and private key are both included in a user credential. The public key is shared with your service, while the private key is kept private by the authenticator.

An authenticator might be a built-in feature of the user’s device or a piece of external hardware or software. Authentication and registration are the two basic interactions for which the authenticator is used.

In an authentication scenario, the authenticator must produce proof of the user’s private key when the user returns to the service on a different device or after their session expires. It accomplishes this by responding to a server-issued cryptographic challenge.

Are FIDO Protocols Secure?

The FIDO protocols guarantee user privacy while providing lightning-fast and secure access to online services. FIDO protocols never provide information to online services that allows them to collaborate and track the user between services.

User trust is essential to the FIDO Alliance ecosystem’s success, which aims to protect users’ privacy while delivering strong authentication to online businesses.

The FIDO Alliance’s unmistakable commitment to preserving our users’ privacy is reflected in these Privacy Principles. The basis that makes the FIDO standards as privacy-protecting as they are secure is provided by the thorough technical procedures that pervade the specifications.

FIDO Privacy Principles

Some of FIDO’s privacy measures aren’t solely technological; some are policy-based, while others are concerned with the user experience.

Any operation involving personal data should require clear, informed user consent.

Provide the user with a clear context for any FIDO actions.

Personal data should only be collected for FIDO-related activities.

Only use personal information for FIDO operations.

Allow users to manage and view their FIDO Authenticators with ease.

Prevent illegal access to or disclosure of FIDO-related data.

Other technological precautions in the FIDO specifications include the fact that a key supplied to a single website can only be used in that website’s web browser, enhancing the strong border between sites. This criterion renders the theft of a public key for the purpose of phishing from a different source ineffective. It prevents several colluding sites from employing an Authenticator to rigorously verify and correlate a user’s identity. At the same time, they browse the Web.

The FIDO Alliance’s unmistakable commitment to preserving our users’ privacy is reflected in these Privacy Principles. The basis that makes the FIDO standards as privacy-protecting as they are secure is provided by the thorough technical procedures that pervade the specifications.

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