Sat, 18 Sep 2021

AI is the Future of Cybersecurity

13 Sep 2021, 21:02 GMT+10

Cybersecurity threats have picked up in the past decade and evolved into an issue more severe than it ever was. Technology is advancing at an alarming speed, but that's not all; because so are the ways to exploit it.

Conventional methods to evade cybersecurity risks and threats involved securing the perimeters of your connection to make sure that intruders like hackers and snoopers don't find a way into your business. However, with more and more complexities being introduced, online security has continued to be at greater risk over time.

With today's advanced tools, hackers find it easy to break into an application, software, accounts, and even entire devices, which can result in irrecoverable damages worth millions. A recent study by RiskIQ estimated the cost of cybercrime per minute to be around $856,000.

In a situation where there is never a moment where your data, privacy, and online security is not at risk, it is essential to take additional security measures.

A probable answer seems to be AI cybersecurity solutions. These solutions directly challenge the problems internet users of today seem to be facing. Now, you're probably wondering what AI has to do with cybersecurity? Let's talk about it in more detail!

Artificial Intelligence X Cybersecurity

What do you first think of when AI and cybersecurity are used in a single sentence? Do cutting-edge robots like the ones in science fiction movies come to mind? Or do you instantly start imagining supersmart computers and technology that makes its own decisions?

In both cases, you aren't wrong. But AI can work in many forms. It can be obvious, as in the case of robots, but also remarkably discrete, as in functioning within tiny devices, for example, a smartwatch!

Whether you can see it or not, AI is all around us! From the healthcare industry to the tech industry and now, even the cybersecurity industry. Simply put, AI is the theory of making capable of making machines capable of making intelligent decisions. Scientists have managed to achieve this with the help of complex machine-learning algorithms that teach a computer how to behave like humans.

During the execution of these algorithms, computers process massive and complex datasets independently to learn the behavior that will later be required and to complete tasks. Since this learning is based on memory-efficient machine learning algorithms that comb through humongous amounts of data, the decisions a machine can make are sure to be sound, with a high probability of being the best out of all options available.

This is why AI poses the best solution to cybersecurity issues. But this is just one of the reasons why we need to consider AI as the possible future of cybersecurity. To make a solid case, let's look at more reasons in more detail.

Top cybersecurity practices are robust enough for the next decade

AI will not cancel out existing powerful cybersecurity practices, such as using a USA VPN server to dodge cybersecurity threats, attacks and hacking attempts by browsing privately online and maintaining anonymity. This not only makes sure that your online activities are virtually untraceable, it also encrypts your communication with the internet, adding an extra layer of security which AI will only improve on.

AI can identify threats before they become serious

One of the things that Artificial Intelligence (AI) is good at is pattern recognition, which is excellent when predicting the situations that are likely to arise, way before the systems even show signs.

This means that AI can detect security threats as soon as a past pattern arises. And you know how they say early detection means early solutions, resulting in a more efficient cybersecurity system.

Furthermore, this could also help detect loopholes in the existing systems and data. This is because machine learning can also be used to detect and rectify abnormalities or vulnerabilities in a system to warn users of the coming threat.

Hackers and snoopers stand a lower chance of getting into your data and exploiting it if your security system is robust and efficient. This could also mean spending lesser on the security and recovery tools and software in the long term.

AI can also help prevent credit card fraud

Credit card frauds aren't a new occurrence. They have been happening ever since credit cards first started circulating. Credit card fraud involve purchases made from different or unusual devices using someone else's credit card credentials.

Even though it's hard to detect credit card fraud without advanced technology, AI-powered devices make it easier to verify a cardholder, preventing the chances of credit card fraud. These machines can also help people choose secure passwords by letting them know if their password is too weak or telling them how easy it is to hack.

Help jump on the blockchain bandwagon

It's no secret that blockchain is all the rage these days. Just in the past decade, cryptocurrencies like Bitcoin and Ethereum have taken the digital world by the storm, and with the introduction of NFTs and crypto-backed writing platforms, even artists and writers have found a good place in the crypto-world.

These platforms and currencies are built upon blockchain technology, an innovative solution for securely maintaining a decentralized record of transactions. The same technology can also help maintain medical records safely and even manage criminal record systems by identifying criminals and detecting any loopholes in the system.

What makes this technology ideal when it comes to cybersecurity is the fact that verification keys are no longer required. Instead, in a hacking attempt, the system analyzes the whole record of data chains. Suppose even a single node is found to be uncontaminated by the hacker. In that case, the technology is efficient enough to restore the entire system, making it a far more secure option than other choices.

Most people didn't know that AI models can be used to classify, analyze, and make predictions by combing through the data, which is central to the effectiveness of blockchain technology, making it all the more efficient, secure, and robust.

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