What Is Data At Rest Protection (DARP)?

TechDogs Avatar

Data at rest. The phrase conjures images of a dust-free hard drive beeping tranquility in a cool dark room. Yet that image needs a little updating for companies concerned about data breaches. The correct data-at-rest protection (DARP) strategies can help keep the information on your hard drives safe from prying eyes while improving the recoverability of essential corporate files. Protection against data at rest threats is a common concern, especially with enterprise-level organizations that hold sensitive information and must protect their data stores. Several methods of guarding against this threat include robust data encryption and password protection protocols. Some experts suggest encrypting the entire data set in a storage medium; others say it is impossible to encrypt every piece of data since it would use too many resources. This can be done through various methods, such as installing encrypted software on your computer or uploading files to a secure cloud storage service. It is essential to remember that the only way to guarantee data security is through a VPN. A VPN will protect your data as it travels across the internet and saves it encrypted. Your data will remain secure if your computer is stolen or hacked, thanks to your VPN. Remember that no VPN service is 100 percent safe, so keep your computer updated with the latest security patches and install a VPN when using public WiFi to protect your data. By protecting data at rest, administrators can allow users to use removable media for storing files. Data at rest protection (DARP) is essential for preventing data exposure. It can be more of a challenge than data in transit because, unlike encrypted connections over a network, there is no way to control what happens when a user connects a flash drive or other removable media device to their machine. Companies often rely on in-house training, careful job applicant screening, and multi-tiered security protocols because it's challenging to implement data-at-rest protection without hampering employees' ability to do their jobs. Data security isn't new, but the technology that keeps it safe has improved. In ancient times it used to be a physical lock. Now we have potent passwords, encryption, and many more!

TechDogs Logo

Related Terms by IT Security

Information Resource Management (IRM)

Information resource management (IRM) is the management of records, information, or data sets as a resource. It can relate to either business or government goals and objectives. It is a broad term in IT that means different things to different people. Some people use it to manage information resources, while others consider it to collect and store all data types, including personal information. Additionally, IRM can help you keep and manage any information: audio, video, text-based documents, images, etcetera. Information resources can be broadly defined as data sets required for a specific function. Information resources are needed for every organization to function. They are necessary for every process, every decision, every action, and procedure. Information resources can be structured (numeric) and unstructured (non-numeric). Information resources can be either public or private. Information resources can be both in physical form, or they can be purely virtual. Information resources are precious and must be secured and preserved; they must be protected. IRM is the process or science of managing information resources to achieve an organization's desired goals and objectives. If you've ever been caught in a situation where you're wondering, "Where is that document?" then you know how vital information resource management (IRM) is. IRM involves identifying data as an asset, categorizing it and providing various types of active management. Experts describe IRM as managing the life cycle of data sets, from their creation to their use in IT architectures to archiving and eventually destroying non-permanent data. IRM can refer to either software resources, physical supplies and materials, or personnel managing information at any use stage. The goal of IRM is to ensure that valuable information is accessible to those who need it when they need it. IRM also helps users determine whether they need something before they store it electronically or on paper—saving money on unnecessary storage costs!

...See More

In-Memory Analytics

What's the latest and greatest in the field of data analysis? In-Memory Analytics is what we are referring to. Imagine that, as you progress through a video game, your high score is recorded in a file. However, what if your high score wasn't written to a file but stored in the console's RAM? That's what In-Memory Analytics is all about, in a nutshell! Data in traditional data analysis is kept in a database, and each time it is to be analyzed, the data must be fetched from the database and loaded into memory. To analyze data quickly and efficiently, In-Memory Analytics loads it into RAM before processing it. Okay, time to dive into the weeds here. In-memory analytics' lightning-fast processing time can be attributed to using RAM (random-access memory) rather than traditional disc storage. It is substantially quicker to access data stored in RAM than on a conventional hard disc. Since time is of the essence in data analysis, In-Memory Analytics is the optimal choice for companies that need to evaluate massive amounts of data in real time. In-Memory Analytics is the way to go, for instance, if a stock trading corporation wishes to evaluate stock market data in real time and make decisions based on it. We can finally read your minds. "Won't it be too much to store all that information?" Now, here's the thing: today's computers have plenty of RAM, and In-Memory Analytics solutions are built to be highly efficient to store and analyze enormous volumes of data without impacting system resources. Not only that! Data can be updated instantly with In-Memory Analytics. Thus, the analysis can be continuously revised to account for any new information that may emerge from the stock market. That's awesome! In-Memory Analytics represents cutting edge of data analysis. It's quick, efficient, and can process such data in real time. In-Memory analytics is a great option for any company that needs to act swiftly based on the information gathered. In-Memory Analytics is one of several tools available to you for analyzing data. Using it properly can elevate your data analysis to the next level, but it will only work for some situations.

...See More

Integration-Centric BPM

We are about to explain Integration-Centric Business Process Management. It is pretty neat. Business Process Management, abbreviated as BPM, is concerned with doing just that: managing and bettering company processes. In addition, Integration-Centric Business Process Management (BPM) goes above and beyond by emphasizing the importance of integrating various apps and systems into a unified process flow. Allow us to explain. By bridging the gap between disparate software and hardware, Integration-Centric Business Process Management facilitates efficient management of organizational operations. It's like the pinnacle of juggling, with various systems cooperating to increase productivity. Consider the following scenario: you own a retail internet company. You have a website, an inventory system, a payment gateway, and a transportation company. By combining disparate programs and databases, you can optimize your workflow with the help of Integration-Centric Business Process Management. Suppose a client decides to purchase from your online store. Information about the purchase is sent directly to the stock system, where it is checked for availability. If this is the case, the payment gateway is informed to begin processing the transaction. After the transaction is finalized, the shipping company is notified to deliver the merchandise. There is no human involvement; everything occurs mechanically. Hold on, and there's more where that came from! The versatility and flexibility of integration-focused business process management are other perks. When necessary, it can adapt to process modifications without compromising productivity. With Integration-Centric BPM, switching payment processors or delivery companies is a breeze. Now, let's get into the nitty-gritty details. Integration-Centric Business Process Management facilitates the interoperability of disparate software platforms by leveraging frameworks, application programming interfaces (APIs), and other integration tools. It can process various file types and communication protocols, facilitating the smooth exchange of information between computers. The best aspect is that Integration-Centric BPM can be implemented in various contexts. It is not restricted to online shopping or retail in general. It has numerous potential applications in the medical, financial, industrial, and other sectors. Integration-Centric Business Process Management is helpful for any industry that uses various software programs and systems. That sums up what Integration-Centric Business Process Management is all about. This is like the pinnacle of multiplexing, as it allows you to combine various processes into one easy-to-use program. It can be molded to fit a variety of settings and is applicable in many fields. Moreover, finding someone who doesn't admire a multitasker is hard.

...See More

Trending Definitions

Parallel Functional Programming

Let's talk about parallel functional programming - a fancy term combining two powerful computer science concepts: functional programming and parallelism. It's like having peanut butter and jelly, two awesome things that taste even better together! So, what exactly is parallel functional programming? Well, it's a philosophy of computer science that takes functional programming, which is all about avoiding changing state data and using mathematical tools to challenge the traditional imperative programming model. It combines it with the magic of parallelism. Parallelism is like having multiple tasks running simultaneously, like a juggling act with multiple balls in the air! Now, why is this combination so special? Well, it's all about working with declarative programming smartly and efficiently. Declarative programming is like giving instructions on what you want to achieve without worrying about how it's done. It's like ordering a delicious pizza without caring how the chef tosses the dough or adds the toppings. And parallel functional programming can introduce specific operations on interdependent tasks and transformational systems using parallel algorithms. It's like having a team of pizza chefs working together to make multiple pizzas simultaneously! One of the cool things about parallel functional programming is that it allows for inherent parallelism. It means certain tasks can be done in parallel without much efforts, like peeling potatoes while chopping onions for a stew. It's like multitasking on steroids! Another essential concept in parallel functional programming is determinacy. It's like having a crystal ball that can predict the future! Determinacy means that the outcome of a program's execution is predictable and consistent, regardless of the order in which tasks are executed. It's like having a recipe that always results in a delicious dish, no matter how you follow the steps. This can make debugging and optimizing code much more accessible, like solving a puzzle with all the pieces neatly fitting together! Now, what's the difference between parallelism and concurrency? Parallelism is like a synchronized dance, where tasks are performed simultaneously, like a well-choreographed routine. Concurrency is like a busy intersection with multiple cars moving simultaneously but not necessarily in sync. It's like a traffic jam with lots of honking and chaos! But don't worry; parallel functional programming has ways to handle both parallelism and concurrency. It's like being a master conductor that orchestrates the tasks synchronized yet flexibly, ensuring everyone plays their part without stepping on each other's toes. It's like having a symphony of code that produces harmonious results! And here's the cherry on top - parallel functional programming can also have implicit or controlled parallelism. Implicit parallelism is like having a secret sauce that automatically identifies and exploits opportunities for parallelism in your code, making it more efficient without you even realizing it. Controlled parallelism, on the other hand, is like having a manual gearbox that allows you to fine-tune the level of parallelism based on your specific needs. It's like having a magic wand that gives you control over the power of parallelism! So, there you have it - parallel functional programming in a nutshell! It's a sophisticated approach to programming that combines the awesomeness of functional programming with the magic of parallelism. It's like a dynamic duo that can tackle complex tasks and transforms your code into a high-order masterpiece. Happy coding, and may your programs run in parallel, but never in parallel universes! Ta-da!

...See More

Machine Bias

Machines are biased. It's not a secret. Humans program them, and humans are biased, so their machines will be too. But what does that mean? Machine bias comes in two flavors: overfitting and underfitting. Overfitting is when a machine learning algorithm has been trained on a set of data so precisely that it can only make predictions based on that one data set. Underfitting happens when an algorithm needs to be trained better to make accurate predictions on new data or needs more information to make predictions (a common problem in medical research). The root cause of both issues is a human error during the algorithmic tuning process. Algorithmic tuning refers to selecting which hyperparameters will minimize a learning algorithm's loss functions and provide the most accurate outputs. Hyperparameters are machine learning parameters whose value is chosen before the learning algorithm is trained. It's true. The algorithms that power our machines are, in fact, prone to a certain amount of bias and it's not just a matter of human error—it's an intrinsic property of how these algorithms work. When you train a machine learning algorithm using data from the real world, you're basically telling it what to look for. Suppose your training set has a lot of information about race and education, for example. In that case, your algorithm will start to weigh those things more heavily when making predictions about new input. But if your training set doesn't include enough information on race or education, your algorithm won't be able to do its job well—and that could have serious consequences! For example, courts worldwide have started using machine learning software to recommend how long convicted criminals should be incarcerated. Studies have found that when data about a criminal's race and education are weighted too highly in these systems, they can make biased recommendations that lead to unfair sentences for some people who have been convicted of similar crimes.

...See More

Jerusalem Virus

It's a virus that's been around since before you could even say "computer virus." You might not have heard of it, but it's been infecting files for nearly 30 years. The Jerusalem virus is an oldie but a goodie. It was first discovered in 1987 and has survived the evolution of operating systems since then. A virus named after Jerusalem is said to have originated there, infecting only MS-DOS files. The Jerusalem virus became largely obsolete as newer operating systems were developed (and they all did). It's the virus that keeps on giving! The Jerusalem virus infects executable programs and files and then erases them on set days. The most fun part? It only infects programs on Friday the 13th of any month. The virus also infects executable programs repeatedly until they become too large to run on a computer. If you try to run a program infected with this virus, it will just keep coming back until your computer is so full of viruses that it can't run anything. One of the earliest known examples of a computer virus, the Jerusalem virus was notable for a number of unique characteristics when it was discovered. Some versions of the Jerusalem virus included cryptic slogans on the command line interface, in addition to the typical symptoms. It was postulated that some versions of the virus would restrict the operation of applications on certain days of the week, such as Saturday and Sunday. This and other effects led some to believe that the virus was religious or superstitious. Eventually, this particular variant ceased to cause problems for newer operating systems but not before contributing to some serious computer crashes worldwide. In 1988 alone, it was reported that this virus infected more than 100 computers—and those were just the reported ones!

...See More

Trending Articles

Join Our Newsletter

Get weekly news, engaging articles, and career tips-all free!

By subscribing to our newsletter, you're cool with our terms and conditions and agree to our Privacy Policy.

Home

Hot Topic: AI

News

Articles

Branded Insights

  • Dark
  • Light