It’s virtually impossible to manually keep up with growing cybersecurity threats, firstly, because of the ever-increasing digital surface of businesses, and secondly, because there are too many cyber threats to keep track of.
However, the implementation of AI could revolutionize our approach to cybersecurity by using advanced techniques that not only detect cyber threats but mitigate them in real time.
AI is playing an increasingly prevalent role in cybersecurity because many businesses are adopting it in droves. In fact, the overall market size for AI in cyber security is all set to reach a whopping $38.2 billion by 2026.
The Challenge of Cybersecurity in 2023
Cybersecurity presents unique challenges in 2023 to both businesses and users. Today’s businesses have:
- A massive attack surface that cybercriminals can easily exploit
- Thousands of devices due to the implementation of IoT
- Massive shortfalls in the number of skilled cyber security personnel
- Too much data for humans to wade through
AI tools, on the other hand, have the ability to solve many of these challenges, especially if you also take into account their self-learning mechanisms. Many tools can be used to properly train a self-learning AI to quickly gather data from your information systems. This day is then analyzed and used to cross-reference across billions of data points that are relevant to businesses.
How AI Can Help with Password Protection
Thanks to the use of AI in cyber security, businesses now have the ability to protect their user accounts through authentication. Many ecommerce stores include features allowing users to log in to purchase products and also provide contact forms that can be used to enter sensitive data.
This requires the use of additional security layers to keep this data secure and prevent it from leaking out into the hands of cybersecurity criminals.
The most prominent examples of AI tools include facial recognition and CAPTCHA, which allow businesses to automatically detect whether an attempt to log in is authentic or fraudulent. Moreover, these solutions can prevent cybercrime tactics such as credential stuffing and brute force attacks, which may put an entire organization at risk.
Detecting Phishing Attempts
The human element of cybersecurity remains the biggest risk to businesses – because your cybersecurity posture is only as good as the people operating it.
It is easier for cybercriminals to target users who may not be trained in cybersecurity strategies as opposed to comprising infrastructure.
Phishing emails are becoming more commonplace every day by using sophisticated techniques such as time bombing and angler phishing.
AI can be used to detect incoming emails and detect their content for malicious messages. It can quickly detect the context of the emails and find out whether they are part of phishing campaigns, spam messages, or something more legitimate. AI quickly identifies various signs of phishing, such as forged signatures, email spoofing, and misspelled websites.
For example, cybercriminals often buy and register domain names that are a misspelling on popular websites. For example, instead, a cybercriminal could purchase Amaziion.com instead of Amazon.com. They can build a fake website that mimics the real website, using its logo and design. Users who don’t recognize the signs of a fake website may enter their surname and password multiple times, which can easily comprise all their online accounts.
AI can make short work of phishing scams that rely on confusion or human error.
Increasing Response Times
In order to minimize the impact of a cybersecurity incident, it is crucial to identify threats at the earliest. When a security incident is identified right away, it can be stopped before it has the chance to cause further damage to the network. As a rule, faster threat detection can lead to faster response times.
To improve your organization’s ability to identify and respond to threats immediately, you will have to make AI a crucial part of your cybersuit strategy. Humans simply don’t have the ability to catch threats in real-time, especially if they have a massive amount of data.
AI, on the other hand, can easily find threats right away, allowing your cybersecurity professionals to deal with them right away.
Managing Vulnerabilities
Cybercriminals are using more sophisticated methods and techniques to comprise businesses every year. Many businesses are overwhelmed by the vast number of new vulnerabilities they encounter every other day. Their traditional systems are unable to detect and mitigate these threats in real time.
AI, on the other hand, can easily enable businesses to analyze malicious activity across their digital surface, including their servers and devices. Security solutions that use AI, such as user and entity behavior analytics, can also analyze the activity of users and flag unusual behavior that may indicate a security incident resulting from a zero-day exploit.
Analyzing Huge Volumes of Data
Even a small business is likely to handle a significant amount of traffic to its digital assets every day. It is important to protect all this data from potential threats. Even the most well-trained cybersecurity professionals would be able to check all of this traffic, which means they can easily miss major threats.
However, AI can easily spot threats by going through significant amounts of traffic and keep those networks secure.
The Use of Self-Correcting Models
A self-learning AI can train itself by analyzing datasets and making adjustments to detect cyber security threats more quickly. The system constantly refines its algorithms to improve performance and take appropriate actions for different cybersecurity vulnerabilities.
Blocking Bot Traffic
A very large percentage of online traffic is composed of bots that are capable of causing serious damage to businesses. AI cybersecurity solutions can recognize patterns in traffic data to recognize organic users from bots, including search engine crawlers and even malicious bots. These processes can help businesses assess user journeys, web page activity and implement cybersecurity solutions such as CAPTCHA tools.
Wrapping Up
It’s official; AI is making cybersecurity solutions better, smarter, and faster. Thai technology can be used in authentication, threat detection, and battling bad bots. For best results, we recommend combining traditional technologies with AI-based cybersecurity tools to avert cybersecurity threats.