Is AI The Future of Cyber Security?

Cybersecurity issues have become a big threat to every company. Businesses will fall victim to a ransomware attack every 11 seconds by 2021. Also, the global ransomware damage costs are predicted to hit $20 billion by 2021.

Companies are looking for different ways to prevent themselves from cyberattacks. They are even willing to pay a premium salary to cybersecurity experts, which makes a master’s in cybersecurity completely
worth it. When it comes to defending against cyberattacks, artificial intelligence can prove beneficial. It can be trained to learn patterns in order to identify any deviation in it.

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Here are a few reasons why AI is the future of cybersecurity.

1 – Analyzes Past Fraud Patterns to Identify Threats

When it comes to detecting cyberattacks based on analyzing past fraud patterns, AI has proven to be extremely useful.

Machine learning, a subset of AI, uses previous datasets and statistical analysis to make assumptions about a computer’s or network’s behavior.

It can sort through millions of files from different logs and records and identify new threats that are being spread by hackers.

They can even eliminate them from the system before the malware can exploit a vulnerability in your network.

2 – Detects Frauds In Real-Time

In 2019, companies took an average of 206 days to detect a data breach. Artificial intelligence, on the other hand, can detect threats within a few minutes after the first outbreak.

Windows Defender AV is one of the great real-life examples of ML detecting and protecting customers from cyber threats. During the Bad Rabbit ransomware outbreak, Windows Defender AV protected customers from the attack just 14 minutes after the very first encounter.

For ecommerce sites adopting measures to protect their site from hacking, AI has proven to be immensely beneficial. AI can stay up-to-date on current malware attacks. It can also scan your system to see how vulnerable it is to any potential threats.

3 – Makes Biometrics More Reliable

Most of us use the same password for personal and professional accounts, which makes it vulnerable to hackers. Biometrics were introduced as an alternative to passwords.

However, cybercriminals have found a way to bypass biometrics too. For example, hackers can get through a face recognition system by using your images from Facebook or Instagram.

AI, when integrated with biometrics, processes the user’s facial features through built-in infrared sensors and neural engines. It then creates a sophisticated model of the user’s face by recognizing key correlations and patterns.

Apple is one of the brands that use AI and ML for strengthening the biometrics. Apple integrated AI and ML in the iPhone X’s Face ID. Apple says, “there’s one in a million chance of a random person unlocking your phone.”

4 – Detects and Prevents Phishing Attacks

Phishing is one of the most common ways used by hackers to get into an organization’s network. Phishing emails are responsible for 94% of ransomware attacks.

AI can identify phishing emails and remediate much faster than humans. Besides, AI and ML work at scanning phishing attacks from all over the world to better understand the ongoing trend. AI can then alert the email receiver that it is a phishing email, thereby preventing the attack.

Fireeye uses AI and ML to identify risks, minimize false positives, and protect their clients against all advanced threats. It can track and block impersonation, spam, and phishing attempts.

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5 – Uses Behavioral Analytics to Notice Unusual Activities

AI can analyze the user’s behavior to detect any potential threats to a company’s network

Machine learning algorithm learns the way you use your device and online platforms and creates a pattern of your behavior. It could include everything from your typical login time, the way you type, and scrolling patterns.

If, at any time, the AI algorithm notices unusual activity in the usage patterns, it can immediately flag it as suspicious.

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Splunk is one such company that offers security against unknown threats through user behavior analytics. It uses machine learning to discover abnormalities in the behavior that traditional security tools miss.

Final Thoughts

When it comes to preventing cyberattacks, AI can be your best friend. It can analyze past fraud patterns to identify potential threats. Besides, it can detect data breach in real-time. AI also has the potential to strengthen biometrics, prevent phishing attacks, and analyze your usage patterns to identify threats.

Noor Qureshi

Experienced Founder with a demonstrated history of working in the computer software industry. Skilled in Network Security and Information Security.

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