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Data science seems to have the interest of people from every corner of academia and industry. There are many different directions from which one can Get started in the Data Science field. That said, depending on what background you’re coming from, the steps you must take in order to acclimate yourself to the subject and become a proficient data scientist will differ. we will discuss some important points you should keep in mind if you currently work in computer science and are hoping to transition into data science. Many people hold the misconception that computer science and data science are effectively two names for the same subject; however, though they may be interrelated (i.e., computer science is one building block of data science), they are far from identical. Tips to Get started with Data science 1. Learn Python If you’re going to get started with data science, you should spend some time learning Python. A good portion of the work will involve topics like statistical analysis, random simulation, and the application of machine learning models. Whatever your personal feelings about the language, there is no denying that Python has come to dominate modern-day data science. While learning it isn’t absolutely necessary (for example, R is another popular language with data science capabilities), it is highly recommended. For starters, Python has a vast array of available packages and modules specifically designed to aid with data science, including but not limited to Pandas, NumPy, SciPy, Scikit-Learn, PyTorch, and Tensorflow. All of these packages have extensive, well-documented capabilities, and are commonly taught as part of data science courses and boot camps. So just do yourself a favor and learn Python. 2. Learn some statistics Statistics is one of the foundational elements of data science [1], forming the bulk of its theoretical foundations. In fact, before modern data science developed, much of the work resembling it was conducted by talented statisticians. When trying to get started with data science it is important to have some understanding of statistics. Learning statistics might appear to be a daunting task, but don’t let it hold you back from getting started with data science. While it is definitely a skill you should continually work to improve as a data scientist, far too many people believe they must be mathematical geniuses to become data scientists. In reality, not every data scientist will need advanced mathematics (such as the kind necessary to write cutting-edge machine learning algorithms) for their day-to-day work. However, having at least basic familiarity with statistics will increase your appreciation for the field as a whole and help you gain keener insights into the problems you solve. 3. Learn to appreciate the humanities It’s not uncommon for computer science or engineering graduates to feel a slight sense of superiority over their social sciences counterparts because of their higher salaries and more promising job prospects. Perhaps you also have this attitude, passively absorbed through years of work in a computing-heavy environment. If so, you would do well to change it before getting started with data science. There are two primary reasons an appreciation for humanities is essential as a data scientist. First, it’s important to realize that one of the essential components of data science is domain expertise. The data you work with only makes sense in context and in many cases the domain expert who explains that context to you will be a member of the humanities. If you’re going to understand the data effectively, you must respect both the domain expert as well as the background information is provided. Secondly, early work in data science often suffered from ethical issues due to an ill-founded fixation on its quantitative elements. Recently, there has been a growing transition toward a more mixed-methods approach, which often utilizes research techniques from the social sciences in order to prevent algorithmic bias and produce more equitable results. Long story short, good data science requires the help of the humanities — and as a data scientist, so will you. Recap On Getting Started with Data Science Working to learn the above skills will be extremely helpful for you as you transition into data science, here they are compiled together: Learn Python. It’s the modern-day data science language — don’t get left behind. Learn statistics. It’s the theoretical foundation for data science — don’t miss out on understanding the basics. Learn to appreciate the humanities. They’re an important element of good data science — don’t let your ego blind you to progress.

Android 13 is almost here, with the public beta expected to come in the coming weeks. We’ve tried out the Preview, and made an Android 13 Wishlist of Android 13 features we’d like to see later this year. It’ll be difficult for Google to follow up such a big mobile OS update, just based on the size of the Android 12 release. The overall stability and speed of the Android 12 update has been a key topic of criticism. While that particular topic didn’t make our shortlist, we do hope that Google can improve the OTA deployment times this year and keep problems to a minimum. Google should restore the ability to change icon shape, font, and even status bar icon style in Android 13. That’s just the tip of an iceberg as we’re sure more options would be appreciated if the Wallpaper & style section just restored some popular features or allowed Material You to be disabled if you so wish. This is one of our top Android 13 Wishlist Video – Android 13 Wishlist: Features and functions we’d really love to see. Subscribe to 9to5Google on YouTube for more videos. Android 13 wish list – return of Pixel Launcher customization. Material You has been a fairly divisive change that is the very backbone of Android 12 on Pixel phones. It removes certain customization elements that had become staples of AOSP builds in favor of more system-driven tuning all based upon your system wallpaper choice. Sure, third-party launchers can provide the added customization options that have been dumped in Android 12 and 12L. However, there are areas that still remain off-limits unless you choose to root your Pixel device. It’s very debatable if the move from a capacitive fingerprint scanner to an in-display optical scanner has really been a wise design choice on the Pixel 6 series. Troubles aside, early hints ahead of the Pixel 6 series launch had us hoping for some form of software-based Face Unlock. All evidence of this has been scrubbed from the public-facing promotional materials but we’d really like Google to add the option in Android 13, thus, we had to add it to our Android 13 Wishlist Developer Preview 1 lets you turn on the flashlight or torch using Quick Tap but it would be great to fully customize the gesture. Another Android 13 Wishlist will be being able to directly open the new QR code scanner or being able to disable Wi-Fi or mobile data just by tapping. Not only that, it would be great to be able to set gestures based on how many times you have tapped the back of your phone. For example, a double-tap enables the flashlight, but a triple-tap activates Do Not Disturb mode. The possibilities could be endless and it would be great to see just a few further controls. As it stands, only the Pixel 4 and 4 XL are able to access hands-free secure unlocking. Sure, software-based Face Unlock isn’t quite as secure as a hardware-based scanner. However, it would be great to at least have the option in Android 13. Quick Tap has been a great new addition to Android 12, but while it offers you the ability to quickly open or launch some of your favorite apps and services, it could be seen as a little lacking in overall utility to some. In Android 13, our Wishlist would be to see greater options to customize and control our Android devices with the back tap gesture. The “Rules” feature acts very much as a basic automation feature and it’s often overlooked or lesser-known to most people. Using simple IFTT (if this then that) commands you can activate Do Not Disturb, set your phone to silent, set your phone to vibrate, or set your phone to ring. That’s about the limits of what you can do with Rules in Android 12. To do anything extra, you’ll need to use a third-party service like Tasker or MacroDroid. While they are great in their own right it would be nice to just get a few more options, like maybe activating Assistant Driving mode when connecting to a certain Bluetooth device or even disabling certain features at a time or place. We’re certainly not asking for in-depth controls, just a few more options. The At a Glance widget feels like it’s taking over within the Pixel Launcher but it would be nice if Google just copied iOS and even One UI in Android 13 by offering the ability to just stack widgets atop one another. There’s no real utility benefit here but it just makes organizing your home screen so much easier. Having one widget to rule them all is just a nice option to have if you like a simple setup. There’s the added bonus of better functions than the fairly basic At a Glance widget too.

Mac may not be as good for gaming as PCs however, Today’s Macs have plenty of power to play the latest popular games; they’re just a bit less hands-on and customizable compared to their PC counterparts. With our guide, you can make several important changes to help prep your Mac for games and make sure you can play them without a hitch. This article will help you know how to optimize your Mac for gaming. Upgrade your Mac The new Macs are much more gaming-friendly. If your iMac or MacBook Pro (we don’t suggest gaming on anything less) is several years old, you may want to upgrade to a new model in other to optimize your Mac for gaming before tackling your favorite games. The newer versions of the iMac and the MacBook Pro include both integrated and discrete AMD Radeon graphics cards, allowing you to dedicate the discrete card to gaming, a much better outcome than using the GPUs of previous models Want to check the graphics? Head to the Apple menu in the upper-left corner, and select About This Mac. In the Overview section, you’ll see a label for Graphics that will show exactly what GPU is in your Mac. You also have the option to buy an external GPU, or eGPU, that works with your Mac. These will only work with Macs that have Intel processors, but it’s a strong alternative if you have an older Mac and don’t want to buy a new computer right now. Apple has more information on how to manage eGPUs if you are interested. System cleanup and update You want your Mac as clean and speedy as possible for the best gaming experience in other to do this you have to optimize your system. Start by making sure the latest updates have been applied, then take a look at your storage. Delete any apps and downloads that you don’t use or don’t provide much value for you to make sure your Mac has as much free storage space as possible. Clear out your Trash when you are finished. If you want a little help with this project, you can also download a cleaner app like MacKeeper, which will automate this process and help identify junk files. Disable background processes Macs tend to have background apps that are always running, collecting information, or constantly updating. But for gaming, you don’t want anything that’s going to take up your precious RAM, so it’s a good idea to optimize your Mac by disabling some unnecessary background processes. If you don’t use your Notification Center, for example, we suggest starting there. Step 1: Open your Terminal. You can find Terminal in the Utility folder, which is in Applications. Step 2: Paste or type in this Terminal command to get started: launchctl unload -w /System/Library/LaunchAgents/com.apple.notificationcenterui.plist Step 3: Now paste this command to kill Notifications: killall NotificationCenter Step 4: The Notification Center should now be disabled (you may get an alert telling you something is wrong, but that just means it worked). If you ever decide you need the Notification Center again, you can bring it back with this command: launchctl load -w /System/Library/LaunchAgents/com.apple.notificationcenterui.plist You can now launch the Notification Center again. You can also visit the Mac Activity Monitor to see if there are other background apps that you don’t need and can disable. This is very important when trying to optimize your Mac for gaming Close your apps and start up a game When trying to optimize your Mac for gaming you should, Take a final look at any open apps and close down all nonessential ones, especially memory-hungry browsers. You can use the Activity Monitor or gsxCardStatus to see what apps, if any, are using your discrete GPU. You want your game to be the only thing using your discrete GPU when you begin. Now open up your game and get started! You’ll want to spend at least a few minutes messing around so you can look for ways to make the game run as smoothly as possible. If you are using Steam, make sure all updates and patches have been applied before you begin. These are some ways to optimize your Mac for gaming, hope this is of great help and you can enjoying playing your games of your Mac

Before searching for malware, every researcher needs to find a way to analyze it. There are so many ways to do it: one which is building your own environment or using third-party solutions. Today we will take you through all the steps of creating a custom malware Analysis sandbox where you can perform a proper analysis without corrupting your computer. And then compare it with a ready-made service. Why you need a Custom Malware Analysis Sandbox A sandbox allows the detection of cyber threats and analyzing them safely. All information remains secure, and an unsafe file cannot have access to the system. You can safely monitor malware processes, identify their patterns and investigate their behavior. Before setting up a sandbox, you should have a clear goal of what you want to achieve through the lab. There are two main ways to organize your working space for analysis: Custom Malware Analysis Sandbox. Made from scratch by an analyst on their own, specifically for their needs. A turnkey solution. A versatile service with a range of configurations to meet your demands. How to make your own malware sandbox Let\’s take you through all steps that you need to set up the simple environment for malware research:1 — Install a virtual machine Install a Virtual Machine Running malware should happen in an isolated environment to avoid infection of a host operating system. It\’s better to have an isolated computer to install the Malware Analysis Sandbox. There are a bunch of VMs presented in the market: VMWare, VirtualBox, KVM, Oracle VM VirtualBox, Microsoft Hyper-V, Parallels, or Xen.2 — Check artifact 2. Check artifacts Modern malware is sensitive– it knows whether it\’s run on the virtual machine or not. That is why it\’s essential to get rid of artifacts. Check code, remove detection, and others. 3 — Use a different network Another precaution to prevent Malware is to use a different network system. Preventing the corruption of other computers on your network is important. Get a VPN service and set it up correctly. This is a very important precaution in building a Custom Malware Analysis Sandbox 4 — Assign a realistic amount of resources In order to make your system look as authentic as possible to trick any Malware into executing. Make sure that you assign a realistic amount of resources: more than 4 Gb of RAM, a minimum of 4 cores, and disk space of 100 Gb and more. That is a basic requirement to pretend as a legit system. 5 — Install popular software If you install Windows and leave it as is, a malicious object will get that it is analyzed. Install a few applications, like Word, browsers, and other programs that all users usually have. This is a Basic method for building your Custom Malware Analysis Sandbox 6 — Open several files We need to be sure that it is a real computer that belongs to someone. Open a few documents to accumulate logs and a few temp files. Several types of viruses check this. When building a Custom Malware Analysis Sandbox, this is a smart move. Note that these programs can be detected by malware when it is running. 7 — Imitate a network connection Some mischievous types of malware check if they can connect to websites like Google. How do you trick a malicious program into thinking that it\’s online? Utilities like INetSim and the FakeNet tool imitate a real Internet connection and allow us to intercept the requests that malware is making. Try to check network protocols between a malicious object and its host server. But beforehand, find out what the analyzed sample is connecting with using WireShark. And it takes some effort not to give up this tool to the malware, be careful, especially during your Custom Malware Analysis 8 — Install analysis tools Prepare the tools you\’ll use for analysis and ensure that you know how to use them. You can go with Flare VM tools or make use of these programs: Debuggers: x64dbg investigates malicious code by executing it. Disassemblers: Ghidra makes reverse engineering easier, with access to the decompiler\’s output. It also can be used as a debugger. Traffic analyzers: Wireshark checks network communication that malware requests. File analyzers: Process Monitor, ProcDOT aim to monitor and understand how processes deal with files. Process monitors: Process Explorer, Process Hacker help to watch malware behavior. 9 — Update your system to the latest version Your system should be up-to-date as well as all software. Filter out the regular Windows changes that are happening quite often. However, your experiment may require a different version, such as how malware exploits some OS errors. In this scenario, choose and get the necessary version set up.10 — Turn off Windows Defender and Windows firewall. Is there a more efficient option to analyze malware? All these steps take a lot of time and preparation. And still, there is a chance that your sandbox will not be secure enough, invisible for malware, and provide the necessary information. So, what is a better solution? Here comes the second option – use a ready-made solution. Let\’s take a look at ANY.RUN. ANY.RUN is an online malware sandbox that you can use for detection, monitoring, and analyzing threats. The best part of it is time and convenience: It takes only a few minutes to complete an analysis of a malicious sample. Most of the tools are ready for you, just choose what you need and start the task. Your files, system, and network are completely safe. The interface is simple enough even for junior analysts. It\’s still can be customizable – select an operating system, software set, localization, and other details for your purposes. But the perk is that you don\’t need to install anything! Take your computer, and you are all set.

Apple is amazing at setting trends. This is why lots of other companies use similar names to Apple’s products and, sometimes, even copy the company’s designs. That said, it’s not every time that Apple makes it right or a feature it’s pushing survives. Here are five iPhone features that are now forgotten by apple and users Let’s start with an iPhone features that many hard-core users loved but most people never heard about: 3D Touch. Unveiled alongside the iPhone 6S, this feature survived until the iPhone XS. 3D Touch started as “Force Touch” on the Apple Watch, but even this longer press was deactivated and removed on Apple’s smartwatches. It was perfect for previewing links, messages, photos, and, of course, watching Live Photos. As of now, you can still do all of that, but that haptic feedback was something unique from Apple. Moving on to other iPhone features that are now forgotten, the iPhone X introduced a new trend with Animojis – which then evolved into Memoji. Not only did companies release their own terrible versions of this feature, but it was also very trendy. Lypsinc, famous people’s impressions, and even more were posted online just to differentiate those who had an iPhone X with TrueDepth from those who didn’t. But with time, Apple made it possible for all users to create their own Memoji, and today it’s very rare to see someone posting their Memoji reaction or even using this feature at all. Talking about the TrueDepth system, can we ever forget about Slofies? Introduced with the iPhone 11, this iPhone function was supposed to be Apple’s next great feature: the ability to record slow-motion films using the front-facing camera. OK, let’s go back to 2016 and iOS 10 to talk about the iMessage App Store. The problem with this feature was that there was not much use for it. Last but not least, One of the more recent forgotten features that came with a new iPhone was App clips, This revolutionary way of using an app without downloading it. Here’s how we described it back during WWDC20: [App Clips] They’re small, brief previews of full App Store apps that don’t put your life on pause to find, install, and run. App clips can be activated right from your lock screen with NFC-enabled app clip codes. App clips in the Apple Store could make purchasing products, picking up orders, and discovering new accessories faster and more seamless. The Apple Store app is already pre-installed on every new iPhone, but users can delete it if they wish. An app clip for the Apple Store app could trigger the scan and buy self-checkout feature or let any visitor quickly check-in for an appointment without needing the full app installed. What do you think about these features that Apple seems to have forgotten on the iPhone? Is there anyone you would love to see them bring back, or are you glad to say goodbye to some of them? There are some features that we maynot have ideas of like how the back of your iPhone a button.

Today, we’re covering the data scientist job description — what is a data scientist, what does a data scientist do, the qualifications for a data scientist, the data scientist roles and responsibilities, data scientist skills, how to be a data scientist, data scientist requirements, and the data scientist career path.  The data scientist is a relatively new key player in organizations — a new breed of analytical data experts. It involves being part mathematicians, part computer scientists, and they rule the world of big data. Businesses today are wrestling with volumes of unstructured information that’s a virtual gold mine, which can help boost revenue when unearthed. But they really need professionals who can dig in and find valuable business insights, sifting through the useless chaff and finding the precious nuggets of data. That is what data scientist does; that is why they are highly sought after and well paid.  Data Scientist Job Description Organizations are rapidly using more and more data in their everyday operations. A data scientist interprets the raw data and extracts valuable meaning out of it. They then use this information to find patterns and develop solutions that an organization needs to grow and compete.  If we must define a data scientist, it would be someone who makes value out of data. Wondering what exactly constitutes the job of a data scientist? Well, no points for guessing, a day of a data scientist revolves around – as the job title suggests – data and data everywhere.   The data scientist job description involves fetching information from various sources and analyzing it to get a clear understanding of how an organization performs. They use statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. After interpreting the data, they present the results in a clear and interesting way. The objective is to help the organization analyze trends to make better decisions. Thus, a good data scientist needs to have the right combination of technical, analytical, and communication skills.  In order to understand the data scientist role, let’s first understand that the data scientist position has evolved and expanded from the data analyst job position.  Both the data analyst and data scientist organize and analyze big data within an organization. But the data scientist has the additional role of using business sense and communication skills to influence how the organization tackles business challenges.  Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results. For instance, a data scientist working for a social networking site might analyze the types of pages users ‘Like’ and, based on that, decide what kind of advertisements users will see upon logging into their account. Data Scientist Roles and Responsibilities: What Does a Data Scientist Do? Data scientist roles and responsibilities include: Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis Developing prediction systems and machine learning algorithms Presenting results in a clear manner Collaborate with Business and IT teams Data Scientist Skills You need to master the skills required for data scientist jobs in various industries and organizations if you want to pursue a data scientist career. Let’s look at the must-have data scientist qualifications.   Key skills needed to become a data scientist: Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig are desirable. Familiarity with Scala, Java, or C++ is an added advantage. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.  Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.  Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.  Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist\’s job description.  Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., The tableau that helps to visually encode data Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense Degree in Computer Science, Engineering or relevant field is preferred Proven Experience as Data Analyst or Data Scientist How to Become a Data Scientist If you are wondering how to get hired in a data scientist role, then it is best to know that such lucrative jobs do not simply fall out of the sky, it takes time, effort, and knowledge. To pursue a data scientist career, you have to devote time to learn data science, upgrade your skills, search for a job and prepare for interviews. Simplilearn’s Data Science Certification Courses offer an excellent way to learn all the skills we discussed here.  Consider these to start your career as a data scientist. Be Patient: you will apply for several jobs before bagging one Build up Data Analytics, Programming, and Business skills.  Be prepared to answer data science interview questions about how you would behave in various work situations. Remember, recruiters, are more interested in how you solve problems and how you tackle specific situations than your technical knowledge.   Consider earning a certificate in Data Science or Business Analytics  Create a portfolio to showcase some projects that you have done with real data How Much Does a Data Scientists Job Pay? The demand and salary for data scientists tend to be higher than most other ITES jobs. Experience is one of the key factors in determining the salary range of a data science professional.  According to Glassdoor, a Data Scientist in the United States earns an annual average of USD 117,212. Data Scientist Career Path Data Science is currently

A growing trend of password-less technologies are emerging, such as fingerprint, face detection, and voice activation, their implementation is still limited. Web and native applications still need to use a password as a primary means of authentication. Mobile devices make up a large percentage of our online activities. From entertainment to news, sports, payment services, file storage, instant messaging, social media, and other wide-range of services available on mobile. All of these services hold our data and personal information; hence, the use of authentication. We are going to discuss in detail the 10 best password managers for Android and Ios Devices. According to a survey by LastPass, approximately 35% of people tend to re-use passwords because they don’t want to forget. And 45% re-use because they believe their accounts are not valuable to any hacker. This is mostly because a lot of people have a hard time keeping a list of the multiple passwords they have generated for different online accounts over time. Hence, the need to use an effective password manager. Now, there are a lot of password managers out there but we are going to bring you the best 10 password managers for android and Ios devices according to reviews and surveys conducted on the users of these managers. Keeper Keeper is one of the most secure password managers for android and IOS devices. With over 84,000 reviews, it has an impressive 4.6-star rating on the Google play store and over 10million downloads. Some of its functionalities and features include the following. Record creation and auto-fill Keeper permits you to create password records and auto-fills records. This information will later be used to auto-fill login forms on the web. Likewise, other useful auto-fill information, such as addresses and contact. It also includes an option to create your payment card records such as debit or credit cards for quickly filling online forms. Import of existing records Keeper allows you to import all saved passwords on your computer. This allows you to have a central location for all your password storage. BreachWatch It also includes a new feature known as BreachWatch, which monitors the internet for stolen login credentials that match yours and send you an alert so that you can better protect yourself. 1Password 1Password is a popular password manager for Android and IOS devices. It is easy to use and comes with cheap and affordable plans called family plans. The app comes with an AES 256-bit secured vault, where your files can be securely stored. It also integrates with dropbox for a more secure authentication. There is also a feature known as 1Password watch-tower, which alerts you regularly on the current state of vulnerabilities regarding vulnerable websites and passwords. 1Password also enables you to generate strong and unique passwords for every website you visit and has the ability to securely stored credit card information when you make online transactions. When searching for best password managers for your Android and IOS devices, 1Password is one of the best password managers out there. Tenorshare 4uKey Tenorshare 4uKey is also one of the password managers for Android and IOS devices It is available for iPhone SE(2nd) and iOS/iPad 13.5 or newer. This password manager is more famous for its recovery abilities. Tenorshare 4uKey can unlock iPhones whose password you have forgotten. This is especially useful in cases where you need to transfer ownership of an old iPhone device. The recovery also clears all the data on the device and starts the phone afresh. It also has an integration with 1Password, which gives the ability to transfer all the saved passwords on Tenorshare to it. LastPass LastPass is a top-class password manager for Android and IOS devices. It can store passwords, credit card information on all the websites you visit. The ‘Families’ plan has setup the storage of all family members’ accounts to keep record of each person’s passwords on all the websites they visit. It can also help with autofill login credentials when you visit websites with saved credentials.It has over 5 million downloads on Playstore, it is quite highly used. Google Password Manager This is a password manager developed by Google for Android and IOS devices It works smoothly on all devices running Google chrome. It serves as a cloud storage for all your chrome browser passwords. You can retrieve the passwords on any browser when you visit passwords.google.com and log in with your Google account. It also helps with the autofill of login credentials. it also helps with generating secure passwords while registering online sites. Samsung Pass Samsung Pass is an ‘identity management-as-a-service platform for Samsung devices. This is a distinct credential management platform that is basically passwordless and uses biometrics such as fingerprint, iris, and face recognition to authenticate a user. The user’s biometrics are encrypted to avoid man-in-the-middle identity theft. This ensures that you do not need to remember any password to log in to your favorite apps. DashLane Dashlane is an easy-to-use password manager. It is available for Android and iOS devices. It has the ability to store passwords for all the apps that you use and those on the web. Like most password managers, you only have to remember the password to the app itself. EnPass Enpass is a digital information manager. It is primarily used to store passwords but also can be used for credit cards, bank accounts, licenses, and IDs. It works on Android and iOS devices. Enpass keeps password storage locally on the device, and also has an integration with third-party cloud providers, such as Google Drive, Dropbox, One Drive, etc. to sync your credentials with the cloud. Hence, Enpass does not store users’ credentials on its own servers. Msecure MSecure emphasis on simplicity and convenience. It has a Security Center for reporting weak, duplicate, or old passwords. Password Safe This is recognized on PlayStore as Password Safe – Secure Password Manager and on iOS as Password Safe and Manager. The password manager is totally offline and stores all passwords on the users’ devices, however, it has an export function that can be used to sync your

Over 100 million Samsung customers have Android 12 available on their devices. And while even more devices continue to get closer to receiving the latest Android OS and One UI versions, Google is working on Android 13 in the background. We will talk about the list of Android 13 compatible Samsung devices. The first Android 13 Developer Preview build was released in February, though it wasn’t made available for any Samsung phones or tablets. Nevertheless, we can assume that future, public versions of Android 13 will be accompanied by a new version of One UI — possibly called One UI 5.0. Samsung’s firmware update policies give us a pretty good understanding of which Galaxy smartphones and tablets are eligible for the upcoming Android 13 / One UI 5 update. Check out the lists below and feel free to let us know in the comment section if your device is present. List of Android 13 compatible Samsung devices Galaxy S series Android 13 compatible devices Galaxy S22 Ultra Galaxy S22+ Galaxy S22 Galaxy S21 FE Galaxy S21 Ultra (LTE/5G) Galaxy S21+ (LTE/5G) Galaxy S21 (LTE/5G) Galaxy S20 Ultra (LTE/5G) Galaxy S20+ (LTE/5G) Galaxy S20 (LTE/5G) Galaxy S20 FE (LTE/5G) Galaxy S10 Lite Galaxy Note series Android 13 compatible devices Galaxy Note 20 Ultra (LTE/5G) Galaxy Note 20 (LTE/5G) Galaxy Note 10 Lite Galaxy Z series Android 13 compatible devices Galaxy Z Fold 2 5G Galaxy Z Flip Galaxy Z Flip 5G Galaxy Z Fold 3 Galaxy Z Flip 3 Galaxy A series Android 13 compatible devices Galaxy A73 Galaxy A53 Galaxy A33 Galaxy A71 5G Galaxy A71 Galaxy A51 5G Galaxy A51 Galaxy A52 Galaxy A52 5G Galaxy A52s Galaxy A72 Galaxy A Quantum Galaxy Quantum 2 Galaxy A42 5G Galaxy A03s Galaxy A12 / A12 Nacho Galaxy A32 Galaxy A32 5G Galaxy A22 Galaxy A22 5G Galaxy A23 Galaxy A13 Galaxy A03 Galaxy M series Android 13 compatible devices Galaxy M42 5G Galaxy M12 Galaxy M62 Galaxy M01 Galaxy M22 Galaxy M31 Galaxy M32 Galaxy M32 5G Galaxy M52 5G Galaxy M33 Galaxy M23 Galaxy F series Android 13 compatible devices Galaxy F42 5G Galaxy F62 Galaxy F12 Galaxy F22 Galaxy F23 Galaxy Xcover series Android 13 compatible devices Galaxy Xcover 5 Galaxy Tab series Android 13 compatible devices Galaxy Tab S8 Ultra Galaxy Tab S8+ Galaxy Tab S8 Galaxy Tab S7+ (LTE/5G) Galaxy Tab S7 (LTE/5G) Galaxy Tab S7 FE Galaxy Tab S6 5G Galaxy Tab S6 Lite Galaxy Tab A7 Lite Galaxy Tab A8 10.5 (2021)

Hackers have posted reliable screeshots to back reports of an Okta security breach. Okta provides single sign-on user authentication tools in the enterprise sector, with a huge range of blue-chip clients. Its tools are available for Mac and iOS, as well as Windows and Android. An Okta compromise is a big help to business customers as it provides single sign-on access to both devices and services, so it can potentially allow attackers very substantial access to cause an okta security breach to your data. Okta is a secure identity cloud that links all your apps, logins and devices into a unified digital fabric. With Okta, you’re up and running on day one, with every app and program you use to work, instantly available. Whether you’re at your desktop or on the go, Okta seamlessly connects you to everything you need. Reuters reports. Authentication services provider Okta Inc is investigating a report of an okta security breach, the company said on Tuesday, after hackers posted screenshots showing what they claimed was its internal company environment. An okta security breach could have major consequences because thousands of other companies rely on the San Francisco-based firm to manage access to their own networks and applications. Independent security experts say that that the evidence provided is solid. “I definitely do believe it is credible,” said independent security researcher Bill Demirkapi, citing pictures of what appeared to be Okta’s internal tickets and its in-house chat on the Slack messaging app. Dan Tentler, the founder of cybersecurity consultancy Phobos Group, said he too believed the breach was real and urged Okta customers to be “very vigilant right now.” Okta itself confirmed a security breach, which it said was the result of a support engineer’s account being compromised. It says this occurred in January and it was ‘contained.’ However, it is quite alarming that the company did not notify customers at the time, and no details are yet available on the exact or amount of data accessed.