How Can AI Help Cybersecurity?

The artificial intelligence is growing by the hour. Every industry is now adopting its feasibility and benefits slowly and gradually. One field that will see the best of AI in the coming years is cybersecurity. There’s no doubt about that.

Every day, organizations are moving to the cloud. In fact, the occurrence of coronavirus pandemic has accelerated cloud adoption. Considering the conditions, cybersecurity is of utmost importance. As businesses move online, they also stand the risk of exposing their personal and sensitive data. For this reason, cybersecurity measures will also increase.

Artificial intelligence can aid these efforts. For instance, an AI-powered spam filter. An AI bot can easily catch a risky email in seconds, much faster than humans. Keeping this in mind, in this article, we will discuss how AI certification can aid cybersecurity.

If you want to improve the cybersecurity of your organization, read on to know how AI can help.

How Artificial Intelligence Can Aid Cybersecurity?

We can’t deny the fact that human intervention is necessary to completely avoid cyber-threats. However, AI can definitely help us achieve this task with much more efficiency in much less time.

1. Updated Database

Artificial intelligence bots can analyze data from an array of sources and find out new threats in the databases. Simply put, AI can collect data from various records, logs, etc. to connect the breach details and find out the threat, which is likely to happen.

Other than this, AI malware capabilities can easily find spyware and malware in multiple business channels much faster than human cybersecurity professionals. This can, instead, help the cybersecurity team to prevent future attacks and secure loopholes quickly to avoid malware.

2. Unusual Activity Monitoring

While what we have discussed above is tracking malware movements, AI can also allow cybersecurity professionals to scan for abnormal transactions in the system. This consistent scanning would be able to notify you as soon as unauthorized access occurs.

Whenever an abnormal activity is detected, it is possible for AI bots to detect if it is a false alarm or actually a threat. This is achieved through constant data-based learning of the AI system.

With this, there are certain attacks that may not create huge abnormalities. This means that these attacks can create small glitches in various places, which a human eye can easily skip. However, AI bots can connect the dots and find this abnormality.

For example, when a hacker enters your system by Home Depot but Targets through 3rd party credentials. This is a normal activity but not really normal.

3. Detection

This function is different from detecting fraud activities. You can use machine learning and artificial intelligence to find bugs, potential weaknesses, and security flaws. For example, you can find out if an application is sending or receiving data from an untrusted source.

Another example is injection SQL vulnerabilities, which can be commonly exploited by viruses.

One of the major areas where artificial intelligence bots can help us are human errors. It is common to see cyberattacks due to human mistakes. However, AI can detect these mistakes to prevent grave damage to the business.

On a wide-scale, AI can help in finding the degree of threat a system is exposed to, which can help the team to rectify the issue.

4. Response

This pointer is concerned with the case scenario where malware has already entered the system. When your team is unable to track the source of the virus or remove it, AI can quickly connect the dots, find instances and sources to move towards damage control.

Later on, you can even extract reports to fix the errors due to which this virus entered the system. So, in a way, AI makes you future-ready.

5. Prevention

Combining all the above capabilities and other features, AI can comprehensively monitor your systems for small and big activities. With the help of this, you can always move towards prevention rather than cure.

With the consistent monitoring offered by AI in a comprehensive manner, it is possible that you may never have to control the damage. You would be able to always prevent the issue.


Artificial intelligence is still growing in this field. Hence, in the future, we will see an AI-powered cybersecurity landscape, which has the capability of managing threats single-handedly without human supervision. This will prevent online threats and vulnerabilities.

Don’t you think that’s amazing?

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