How AI and Big Data Improve Cybersecurity?

Large-scale cyber attacks are becoming more frequent so AI and big data improving cybersecurity are getting more and more acute.

These are dangerous for organizations and targeted companies as well as the customers who use their services.

Businesses do have teams of cybersecurity experts working for them around the clock.

However, it is tricky to predict when and how the next cyberattack would happen.

 

 

As cybercriminals are evolving and finding new ways to get their hands on valuable information, artificial intelligence (AI) is developing faster.

Technology is already a part of our daily lives, and AI is certainly more present too.

The perfect examples are Siri and Alexa, who help us out every single day.

So, could artificial intelligence and big data be the future of cybersecurity? It certainly seems so!

How Can AI and Big Data Improve Cybersecurity ?

Businesses and organizations have a hard time fending off cyberattacks even when they have all the necessary tools for the job.

The reason behind this is the ever-evolving malware that sometimes can’t be identified by regular antivirus software.

Large Scale DDoS attacks are not uncommon either. So traditional cybersecurity methods are not enough nowadays.

Artificial intelligence might be the answer since it can remember all the previous attacks, collect the data, learn the code, and instantly identify a threat.

Malware is widely available to all cybercriminals, so only a clever defense can solve this problem.

If you use artificial intelligence for cybersecurity, the results will be astonishing.

AI as a tool can remove more cyber threats within a day and keep the data safe.

Most Common Cybersecurity Threats

The main principle of AI is that this technology can take in a large amount of information and then create a basic pattern of behavior.

AI will flag anything that seems suspicious or out of the ordinary.

Now it is time to look at the most common cybersecurity threats and how AI can help.

Weak Passwords 

Weak or easy to guess passwords are a considerable cybersecurity problem.

Unfortunately, most of us do still use the same password for multiple online accounts.

If one of them gets compromised, your personal information could be up for grabs.

Phishing is a common way hackers get their hands on your login information.

It could happen to anyone if they are not careful enough.

Luckily, AI can help out with this. Instead of typing in a password, users should log in by scanning their fingerprints or through face recognition.

Biometric logins can be combined with a password, too, as a form of identity confirmation.

The technology behind this feature scans the main parts of your face or a fingerprint, verifying a user.  

But AI doesn’t stop there.

It can analyze the way you enter keys and how fast you do it.

These details can also determine if the login is authentic or not. So AI will spot a fake login instantly.

AI can fully automate this process, allowing tech teams to focus on other priorities.

New Forms of Malware When Talking About AI and Big Data Improving Cybersecurity

Malware is not what it used to be.

It is constantly improving and advancing.

Hackers do recognize the growing interest in artificial intelligence, and they utilize this new technology.

Enter automated malware.

This form of cyber threat doesn’t need a person to operate it. Instead, automated malware is smarter and makes cyberattacks more sophisticated.

With that said, fighting automated malware involves using artificial intelligence.

This technology is quick and can learn malware signatures in no time.

AI is efficient in processing vast amounts of information in seconds.

So even if a hacker changes their code a bit, AI will detect and block the threat thanks to the previous malware attacks.

Not to forget that AI might identify ransomware before it gains access to a system, preventing damage or losing information.

Using artificial intelligence to monitor visitors and traffic on your website is a great idea too.

AI takes a closer look at the pattern of behavior and determines which visitors seem unnatural.

Anomaly detection can intercept cyberattacks and secure a website.

Keeping a Network Safe with AI and Big Data Improving Cybersecurity

Protecting your devices when using a public Wi-Fi network is relatively easy if you use a VPN service.

While a VPN service can somewhat help defend the Internet of Things-like network, AI can help too.

IoT is common today, as we all link our smart devices together.

Even though it is super convenient, remember that IoT is attractive to cybercriminals.

Companies and organizations specializing in IoT do have a lot on their hands in terms of security.

These enormous networks could be a real challenge to even the most experienced tech engineers.

Artificial intelligence can be of use because of its ability to acquire large quantities of data all at once.

This technology will keep businesses one step ahead of cybercriminals.

For instance, AI can find gaps in network security.

Hackers often exploit things like missed updates and patches, but AI will fix the problem itself.

Another great feature of AI is that it can predict network threats.

After all, AI is self-learning and can come up with different situations that could make a network vulnerable to cyberattacks.

Stopping DDoS Attacks

Smart devices are quite vulnerable to DDoS attacks.

They are often a part of IoT, and their users might not know how to stop cybercriminals in their tracks.

But a team of researchers from Singapore and Israel has discovered that AI can identify DDoS attacks and eliminate the threat right away.

This finding should improve the quality of service to many telecommunications providers around the globe.

DDoS attacks can shut down all services, and this leads to a substantial financial loss.

A telecommunications provider should create a detector that is based on AI.

It might seem like a massive and expensive project, but it can save a lot of money in the long run.

Then security experts can teach AI to analyze the data flow and single out the IoT devices which might be in danger.

It means that a detector can warn you if one or more gadgets are open to a DDoS attack.