Cyber attack prevention with artificial intelligence is one of the most common methods for businesses not only to fight bad actors but also to automate various security processes. Many organizations today pivot on a single element, which is technology. Naturally, to beat your competition and safeguard your data, you need to make sure that all your technology solutions are up-to-date.
Despite the efforts, there are times when businesses are left vulnerable, even with certain security measures. For this reason, it’s important to know what you’re facing and how to prevent the unwanted aftermath of a cyber attack, such as loss of reputation, data leaks, and all that jazz. Experts are constantly searching for new ways to combat fraud and various cyber attacks using more efficient means of protection.
One of the best innovations today remains artificial intelligence. Keep on reading to learn more about this robust technology.
What is Artificial Intelligence?
Unlike humans and animals, machines display a non-natural form of intelligence. AI technology can make decisions by analyzing different patterns. The best part is that there’s no need for human intervention regarding artificial intelligence. AI technology was achieved by evaluating and analyzing different patterns of the human brain. Now, thanks to this groundbreaking innovation, we have intelligent software and different AI-powered machines or solutions.
How Does AI Handle Data?
Let’s take an example to understand AI better. For instance, let’s say a database contains various images. They’re all different, but we can categorize them into two groups. The first one is images with a person’s face, the second one is photos with dogs. That said, each piece of an image has a special tag that requires scanning.
This is when AI comes in. It analyzes the patterns and learns whether the technology guessed the category and analyzed the tag correctly. The process is ongoing, allowing AI to reach a certain error percentage. In other words, we often refer to such decision layering as deep learning, another term that is closely tied to AI.
Three main components of artificial intelligence are:
- Learning. AI quires new knowledge and skills based on experience.
- Reasoning. AI can draw conclusions from different sets of premises.
- Self-correction. AI can correct mistakes and identify errors.
In general, there are a few critical steps of data processing. Like many processes, AI data managing workflow is specific. First, input sensors receive data. Then, the data goes through a Central Processing Unit (CPU).
Afterward, it gets redirected to an AI procedure, which follows with the data entering the statistically weighted matrix of an AI solution. At this stage, each AI node processes data, making a specific decision based on each filter. Once the information reaches the final node, the statistically weighted matrix determines AI’s final decision point.
What’s the Correlation Between AI and Cybersecurity?
While AI and machine learning (ML) solutions relatively aren’t new inventions, AI-powered services are now storming into the cybersecurity market for a reason. From large-scale enterprises to small organizations, AI has become more commonplace for all types of businesses. Currently, we have two main use cases of AI in cybersecurity risk assessment:
- AI and anomaly detection. Artificial intelligence can identify any anomalies during daily activities. By monitoring such data in your network, you can see where the users are entering the network. AI-powered gateway devices can also provide useful analytics and send alerts in case of suspicious activity.
- AI and data classification. Artificial intelligence is extremely beneficial when it comes to classifying and analyzing large data amounts. If you’re a bigger organization, you can use AI to effectively speed up the screening and monitoring procedures. That’s why AI software is able to detect bad actors or malware more efficiently.
How to Use AI to Prevent Malware Attacks?
AI technology is helpful for those who are looking for modern ways to automate threat detection. Traditional software-driven methods, as well as manual ways to combat bad actors, aren’t as efficient as AI-powered tools. The same principle regarding efficiency applies to machine learning. Its methods are used in malware detection. By combining different data points from anti-malware components, the cloud, and the host, AI and ML help organizations detect fraud faster.
How to Use AI to Detect Phishing?
Artificial intelligence makes email analysis faster. But that’s not all. AI-based systems are able to find anomalies and suspicious red flags when screening emails for phishing. AI analyzes metadata and the message content, including alerts based on certain patterns.
As discussed previously, AI analyzes patterns, including email behavior: fraudulent email intents, forged senders, and suspicious topics. For example, a common email scam that raises suspicion is the urgency factor. If the email has a sense of urgency, meaning that it insists on requiring quick action, AI can quickly scan and determine if the email is phishing, spam, or a genuine message.
Why Should You Consider Using AI in Business?
AI isn’t just a buzzword, as the technology proved its success by settling in various markets. Many organizations use AI technology to put an extra layer of security into their cyber attack prevention systems. Employing a ransomware solution and implementing a data backup plan might not be enough to protect yourself from online attacks.
Cybercriminals and fraudsters are creating fake websites and social media profiles, aiming to steal funds and scam users into thinking that they run a legitimate business. Typically, this scheme requires bad actors to falsify business data, such as their address information. AI-powered Business Verification Service can help you automatically scan any company and spot suspicious red flags, eliminating your chances of partnering with the wrong entity.
Conclusion
Artificial intelligence is a powerful tool in the ongoing fight against cyber attacks. Whether you like it or not, AI has many benefits, one of them being efficient data screening. By analyzing huge amounts of information, this technology can spot suspicious patterns. Unlike humans, AI is efficient and more accurate. For this reason, it’s safe to say that we can now reduce the chances of fraud and prevent cyber attacks from damaging any organization’s reputation – all thanks to AI.
