The Data Blog
A new year means new predictions for data trends and how they will affect the world of technology! Several trends are expected such as an increase in cloud computing, a large migration of systems to current databases to cloud software, and data privacy and social media data harvesting continuing to be in the spotlight of many.
Thus, to get the jump on others, it may be in your best interest to act quickly to migrate systems or get the next generation for your data needs. Whether it's for testing purposes, storage, or analytics, the future is tomorrow and tomorrow will come faster than you think.
We recommend researching upcoming data driven techniques that fit your need and capabilities and comparing them to your current processes right now. Do the upcoming or freshly introduced technologies look better than what you currently have? If so, you may have to act quickly before competitors jump on board and are the first to invest. So where can you start looking for these up and coming data driven technologies? Well, you've come to the right place.
Learn more at https://www.exactdata.net/
Throughout the last few years, cybersecurity and cybersecurity strategies have drastically altered to combat data breaches and hackers trying to access private information, but did you know that one way it evolved was simply due to the overwhelming amount of information posted online by regular internet users?
Enter misinformation and disinformation; two tactics that are now employed very easily thanks to the plethora of "fake news" and faulty tabloid headlines that are written as clickbait to attract the attention of social media users and website browsers. With an abundance of all of this information on the internet and there not being any signs of incorrect information slowing down, we've entered a new age of fighting cyberattacks; by overloading wrong information.
Misinformation and disinformation, while similar, do have one key difference; misinformation is the accidental or unknowing spread of incorrect information no matter how 'almost factual' or beyond the truth the content is. The important part here is that misinformation is spread without proper intent to do so; users who share content with incorrect data or information are finding themselves misinforming the general public, or those who read their social media posts at least, which leads to the misinformation cause.
Disinformation however, is the spread of incorrect information and data with intent to do just that; lie or upload false statements for any means necessary. Whether it's for political intent, cybersecurity strategy, or because someone just wanted to lie over the internet, the act is classified as disinformation, something that has become very popular over the last few centuries through different means such as espionage and propaganda.
Disinformation campaigns have been around just as long as misinformation campaigns have been, the only difference being intent, but nevertheless both are methods that are being picked up as a cybersecurity strategy and defense mechanism to mitigate people from finding out the truth. Whether the campaign seeks to inflate profits, deflate statistics, or just simply cover up a piece of information, it's easy to say that these strategies have become modernized in the world of technology.
Data collection has to happen at some point, and what better way to know all about someone's interests, plans, aspirations, etc. than by updating databases and collecting new data when people are the most giving? Businesses typically see a staggering 73% increase in their data collection through the holiday season via new recipients for email lists, personal information from buyers clubs or one time purchasers and account holders, and more! Data collection in the holiday season can also be influenced over social media through different advertisement campaigns, cross-promotions, forms, and cookies tracking meant to see who likes what best before that insight goes over to companies so they know what demographics to target. These companies could have any type of product like gifts you might be interested in, or could just be collecting data on what you got or where you were for the holiday season so it knows where to reach you.
The truth is, there is all types of data collection, both on and offline, that occurs during the holiday season that it's almost impossible to track all of it. Through different social media advertisements, online email lists, in-store and e-commerce store purchases, and more, your personal data is collected by businesses and most of the time you won't remember signing yourself up for it.
With more and more people taking notice of their personal data being offered up on a silver platter most of the year let alone during the holiday season, it doesn't take a private investigator to know that something's got to switch. Why keep collecting data like this when there are new and improved techniques to generate your own data, synthetically and ethically? The more synthetic data generation there is on the market, the less we'll have to rely on gathering public data, having our own data sold, and budget or time constraints when trying to obtain a certain amount of data.
Learn more at ExactData.net
Last weekend, a team of private citizens composed of expert codebreaker (computer programmers and mathematicians) were able to solve what's known as the "340 Cipher", a jumbled series of numbers, letters, and symbols arranged by the infamous Zodiac Killer that was sent in letters to taunt police about the crimes he had committed.
By running a codebreaking software to run 650,000 different simulations. the team was able to produce output which identified the correct sequence of characters. This begs the question, how much farther must AI be advanced until it can begin analyzing and producing potential solutions for ciphers and other types of cryptograms in an efficient capacity?. While it would have to be trained to look for the different kinds of cryptograms and pick the best potential solution based on parameters and context of the cipher, it isn't farfetched that it won't be long before AI can reasonably spit out these types of outputs.
Online today there are already computer programs which can solve types of cryptograms and ciphers; these online tools are however limited and need a certain amount of help to actually solve the puzzles they're fed. Additionally, like the software used to solve the 340 Cipher, codebreaking technology already exists; it's just a matter of refining and training it to become more efficient in its performances.
Only time will tell how advanced we can become with our codebreaking and sleuthing technologies, but the more advanced our AI becomes, the better our odds of solving mysteries which were previously thought to be unsolvable.
Anything and everything can be found online these days; contact information, news articles, pictures of pets and families. All of this is the digital footprint you leave behind from visiting, creating accounts on, and posting on different types of websites, whether it be an online retail service, a social media website, or a subscription to an online blog or magazine.
Simply put, your digital footprint is what you leave behind, a trail or record of some sort, every time you interact with a new website. It's easier to trace when you engage with a website like leaving a review for a product you buy, posting a status on Twitter, liking a YouTube video, or being tagged in a picture on Facebook. However, did you know your digital footprint doesn't just consist of the actions you perform on websites, but the way you browse them too?
For example, simply creating an account can be enough to trace something back to you via your digital footprint. Contact information of some sort can be found and traced back to you through accounts on many websites on the internet and what seemed like just giving away your email address leads many to now have more personal information such as your name, social media accounts, and anything that can be found on them.
Furthermore, hackers or anyone advanced enough to perform cyber attacks are able to steal and manipulate your browser cookies; cookies are normally used by websites to remember user information via their digital footprint, but if they get into the wrong hands, can be used by others to obtain your personal data such as browsing history and sensitive information like your account logins or even financial information.
So how do you limit your digital footprint? By being aware of the trail you leave; fortunately, many websites let you know if they're using cookies and you can easily opt out so your data isn't affected by the website. This will make it so you aren't profiled or 'tracked' by using the website, so you'll also see less advertisements pertaining to the data on the website you disabled cookies on. Additionally, by keeping any social media accounts and information private, or deleting them in general and keeping your internet connection secure, meaning on a private server or ethernet rather than public WI-FI, it gets harder for anyone to tap into your personal information and trace your digital footprint back to you.
While there is no perfect way to disable your digital footprint as just about everything is online these days, you may find it's quite manageable to keep your information private and secure so that your data doesn't end up falling into the wrong hands.
For Black Friday and Cyber Monday, naturally many people will be browsing online and shopping around for the best deals they can find. However, whenever there is a sale to be made or a product to sell, hackers and cyberterrorists may be lurking nearby. Moreover, with the continued restrictions and negative attitudes about in-person shopping due to COVID and the sheer amount of people who go in person to different stores, online traffic and sales are bound to be higher than usual. Thus, companies must be prepared for a substantial amount of incoming traffic and the incoming cyber threats that may perpetuate because of them.
For companies partaking in retail online, advanced firewalls, cloud based payment processing services, multi-authentication, and advanced employee IT trainings are crucial steps for to take to ensure the best possible customer service for any potential customers. Not only will these precautions increase the safety of users hoping to purchase something from an online website, but they are put in place to help company data from being stolen as well. Without proper cybersecurity measures, both consumer data and company data are at risk of being stolen, and the slightest amount of data in the wrong hands can lead to both stolen identities and fraudulent purchases using consumer data, or malware and ransomware attacks against a company, its retail website, or any of its subsidiaries.
Taking anti-cyberattack measures can lead to a better user experience on a website, improved website performance, and more satisfied customers when they know their financial and purchasing data are safe from any potential cyber criminals or hackers looking to make a quick steal.
Leanr more at www.ExactData.net
Cybersecurity may not be the first thing on everyone's mind during the year 2020, but it definitely shouldn't be the last. CrowdStrike reports that approximately 56% of all surveyed organizations have faced at least one ransomware attack within the 2020 year, with approximately 27% of these organizations paying the hackers to end it. Due to the pandemic we find ourselves in, cybersecurity experts predict an increased amount of ransomware attacks across the world, and many even believe that eCrime and cyberattacks can pose one of the biggest threats to businesses in 2021 and in years to come if not properly dealt with.
Additionally, by companies allowing most employees to work remotely from home, cyberattacks are even more likely to occur; without a VPN, antivirus program, or proper security measures, both personal and professional data are at more risk than ever before, something hackers are continuing to take notice of. As such, the fear for increased cyberthreats is justified and until employees return to a secure and safe network, their data will continue to be at risk.
To minimize risk, one should certainly follow proper cybersecurity guidelines such as not opening emails from unknown sources or downloading anything that seems suspicious. Moreover, using a VPN, secure wireless connections, or uploading work to different clouds to separate personal and professional data can help stop hackers in their trace, and help ensure they aren't rewarded for their efforts.
While the year 2020 may almost be over, the long lasting impact of COVID-19 and its effect on both the real and digital world are far from disappearing.
AI is being weaponized by cybercriminals to develop increasingly sophisticated malware and attack methods, requiring organizations to deploy advanced heuristic solutions rather than relying on known vulnerability and attack signatures.
Synthetic data technologies can play an important role in training the AI to detect advanced heuristic solutions. As a sophisticated rules-based engine, the data models can be configurable to generate true and false positives and negatives of every conceivable variation of a heuristic threat. The data models can also be configured to output the expected AI system response file. This combination creates the necessary massive amounts of tagged data to develop and deploy an AI solution for detecting and preventing advanced heuristic threats efficiently and effectively.
Learn more at www.exactdata.net
Advanced persistent threats backed by nation-state actors are now a major part of the global security landscape. Cybercriminals unofficially supported by the state can execute DDoS attacks, cause high-profile data breaches, steal political and industrial secrets, spread misinformation, influence global opinion and events, and silence unfavorable voices. As political tensions grow, we can expect these activities to escalate – and maintaining security in the face of advanced, globally distributed attackers with access to zero-day exploits will require big business and government organizations to deploy equally advanced solutions to detect and eliminate known and emerging vulnerabilities.
Synthetic data technologies can offer a significant advantage developing and deploying solutions to guard against advance persistent threats by leveraging the synthetic data to emulate the most realistic conditions in a target network. Network normal traffic is real traffic with complex base rate content that is all plausible and can mirror the content, IP address structure, reporting hierarchy, document types, and subject matter-specific content and emails for any industry or client. This provides behavior-based control of the data domain mix in addition to the traffic mix that has become the foundation of cyber testing techniques. Every event is linked/consistent with every other event, except where (by design) it is not linked. Simple and varying degrees of anomalies can be introduced to provide detailed system scoring and support performance tuning.
Learn more at www.exactdata.net
More and more businesses are coming to realize that having an effective cybersecurity strategy and cyber incident response plan is a necessity, not a luxury. Information security training is becoming commonplace for all staff to improve cyber-hygiene and maintain a solid security posture on all levels of the organization. Security is gaining a permanent place in the software development lifecycle, with SecDevOps/DevSecOps processes to integrate security at all stages of development. A businesses security is only as good as the weakest link. It makes no sense to have the most secure systems in the world, and then release confidential data to technology partners or legal firms that have some of the weakest cyber security postures.
This is where synthetic data because a key part of a businesses cyber security strategy by eliminating threats from the weakest links in you companies’ data ecosystem.
Learn more at www.exactdata.net