Cybercrime is a growing epidemic. Most large corporations have teams of IT security personal working full time. They ensure that the systems and networks are impenetrable. But even with the resources like that of Microsoft, cybercriminals can find a way.
Experts are trying to figure out how to stop it from spreading and find a viable solution. I received an online security suite with my Spectrum Triple Play package. But I fear it may not be enough to protect me fully. That is why I have been doing extensive research. It was clear that AI could be the only viable solution to the cybercrime epidemic. After all, if it can do wonders for so many other things, why not cybercrime. The biggest of all the online threats.
How Big is Cybercrime?
Did you know that cybercrime is $1.5 Trillion a year industry? Yes! That’s more than some countries’ yearly GDP! And while you may think that cybercriminals mostly target large conglomerates and corporations. You would be wrong. The fact is that most cybercriminals target regular folk. Like us.
It leaves us wide open to attacks. But luckily for us, we have something in the works. Artificial Intelligence. As you read this article, you will be interested to know that experts are working tirelessly. Sonner that you think, we will be able to give cybercriminals a run for their money; well, our money.
5 Ways AI Can Stop Cybercrime
Artificial Intelligence and Machine Learning aren’t simply buzzwords anymore. These technologies are currently being applied successfully for a myriad of things. AI and ML are game-changers in automation, education, and customer service. They are being used to support tools to protect s against cybercrime.
- Information Verification and Protection
- Threat Discovery
- Vulnerability Management
- Protection from Phishing
- Securing the Network
#1. Information Verification and Protection
Most of the time, the only security protocol we have to rely on is our passwords. But we tend to be lazy with changing them. Some of us use the same password or iterations of it for everything. F course it makes remembering them easy. But think about how unsafe that is.
AI is being developed to make it so that we don’t need passwords. Technology like facial recognition can replace the need for passwords. Today, nearly every device has a camera connected with it. That takes care of the hardware issues. But AI like the one used in Apple’s Face ID is sophisticated enough to recognize your face even after a shave or a new hairstyle.
#2. Threat Discovery
One of the major issues with cybersecurity has always been threat detection. Cybercriminals get into your system without you realizing that they are trying. Until it’s too late and they have already made it past your security protocols. But machine learning has proven useful in stopping this.
Machine learning technology is capable of successfully detecting malware before it does any damage. Since it can continuously analyze data, it can detect when something is trying to attack. This early detection can allow the system to stop the attack before any damage is done to the security protocols.
#3. Vulnerability Management
Traditionally, finding a vulnerability in the system was a challenging task. It could take up to hundreds of man-hours to detect just a single vulnerability. But not anymore. AI systems do not wait for a vulnerability to be detected. They are designed to proactively find vulnerabilities.
How do they do it? AI systems can combine the data they learn from the dark web, like hacker discussion. They can also find patterns that hackers use as well as their reputations. With all this information they can analyze how a threat might affect the system.
#4. Protection from Phishing
Phishing attacks are one of the most common cyber-attacks. They rely on unsuspecting victims to open emails that contain malware for phishing. Did you know that on average, one in every 100 emails has phishing malware? But don’t worry. Artificial Intelligence and Machine Learning can stop these attacks beforehand.
How? AI systems are capable of tracking more than 10,000 phishing attacks at a time. Not only that, but they can also track the source and react much quicker than us. So before a phishing attack can overwhelm a system, the AI can track it and stop it. Aren’t you glad we have AI on our side?
#5. Securing the Network
When it comes to network security, there are two main things to focus on. The first is the network topography, which is unique to every organization. The second is the security policy itself. The problem is that both these tasks take a lot of time to handle. But Artificial Intelligence can automate a lot of the process.
By automating the process, we can expedite it. By leaving the AI to observe and learn the different network traffic patterns. And by allowing it to suggest policies that we can integrate with the existing security protocols. This way we can save on resources and create better network security.
With these uses of AI, we can increase our online security. And make it more difficult for cybercriminals to attack us. I realize that AI is not just some software used by things like Spectrum internet support to operate efficiently. It is a very advanced and flexible system that can help us tremendously. And not just with cybersecurity but with countless other applications as well.