The Future of Data Safety With Artificial Intelligence8 min read
What does the future of data safety offer us? In the digital world, data is the most valuable resource but also the most vulnerable asset of any organization. That’s why data protection against malicious attacks and general abuse is often considered the number one priority of many businesses and individuals.
However, traditional data safety practices are not enough anymore. Hackers can penetrate even the most intricate defenses, and manually warding against various cyber attacks is no longer an option.
Luckily, artificial intelligence is finding its way to cybersecurity, and it can help take data protection to a whole new level. We’ll briefly go over the best data safety practices and discuss how data safety can be improved by AI.
Best Data Safety Practices
There are some basic precautions everyone can take to avoid falling victim to the misuse of data. Here are some of the absolutely necessary ones.
No matter where your sensitive data is stored, you need to make sure it’s password-protected. A strong password is the first line of defense against malicious hackers and data leakage. It should be long and complex, and you should change it regularly.
Even if someone figures out the password, with multi-factor authentication, they’ll have another layer of security to penetrate. This can be a code sent to a private device via text or a biometric factor, such as a fingerprint.
You can obscure sensitive data with the help of cryptography. Even if they lay their hands on it, third parties can’t read content if it’s encrypted. Only those who have the encryption key can unscramble it.
The easiest way to lose your data is to put all your eggs in one basket. That’s why you need to back it up and keep it safe. Our BackupGuard platform makes it easy to back up your website content and restore it anytime in case of a disaster.
AI Features That Make It Useful in Data Security
The idea behind AI is for computer software to imitate all the best traits of human intelligence but take them to the next level. Thanks to the great progress in the development of AI, it has found uses in many fields. Here’s what makes it great for implementation in data security:
- Machine learning — This allows the software to learn and develop on its own through examples and practice with minimal input.
- Automation — AI-based software can do repetitive tasks that take us forever to finish in seconds. This is great for processing large quantities of information.
- Deep learning — Inspired by the way we structure and process information in our brains, deep learning allows AI software to learn from unstructured data, make predictions based on historical trends, and more.
How AI Is Used in Data Security
Data breaches happen all the time, and they can affect millions of people, as was the case with the infamous 2013 Yahoo incident, for example. As hackers get more advanced, AI becomes more relevant for cybersecurity. Although experts in this field have not yet fully embraced this technology, people are slowly finding various uses for it in data protection.
As new and more elaborate cyber threats keep emerging, security teams are starting to rely on AI-based tools to keep their defenses up and running.
For example, a Security Information and Event Management (SIEM) tool provides security teams with real-time analysis of any alerts and helps them eliminate any threats faster. Another example of an AI solution for data safety are the Security, Orchestration, Automation, and Response (SOAR) tools, which help detect threats and even deal with minor ones without human intervention.
One of the most common causes of data breaches are unaddressed (and often, undetected) vulnerabilities in the system. Security teams are often forced to prioritize bigger issues, leaving other vulnerabilities to the mercy of hackers.
AI-based User and Entity Behavior Analytics (UEBA) tools are a great way to detect any anomalies before they’re exploited. The software learns patterns of regular usage and analyzes unusual behavior in order to recognize malicious intent.
Data Center Security
Data centers are of the highest importance in data protection. To ensure nothing happens to them, security teams have started implementing AI solutions, which monitor and optimize data center processes. They can monitor temperatures, backup power, bandwidth usage, and much more and alert the maintenance team of any changes. This way, they can fix any minor issues before they lead to much bigger problems.
Artificial intelligence can also help you stay compliant with any data protection laws. Even though it’s in your best interest to keep customer data private and secure, data breaches and leakages can happen.
However, AI-based software can automate your compliance workflows and eliminate the possibility of human error in the process. It can also help customers amend and remove their data without human intervention.
How AI Is Shaping the Future of Data Safety
AI is the future of data safety. There are many benefits to using AI for data safety. For starters, AI-based software can analyze and process large amounts of data in a blink of an eye, making cybersecurity processes much more efficient.
Moreover, as AI takes on more and more tasks leaving security personnel to deal with more advanced problems, it also eliminates human error from the equation. Unlike people, AI algorithms are immune to accidental slip-ups.
Because AI learns from examples and identifies patterns with incredible efficiency, it is also much better at detecting even the tiniest and sneakiest threats. The software will flag these as irregularities and check them instantly.
The ability to act in real-time allows it to detect irregularities and respond much faster than a human security team could possibly do.
So AI is making data protection practices much better, faster, and more effective, and it’s progressing at a high speed. Nevertheless, we also need to remember that hackers have access to AI-based technologies as well, and they can use them for nefarious purposes.
We have yet to see what all of this means for the future of data safety.
Jennifer Wilson is a writer at Qeedle.com She knows business processes and operations management inside out. As she understands all the challenges of running a small business firsthand, it’s her mission to tackle the topics that are most relevant to entrepreneurs and offer viable solutions.
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