Network Security

7 benefits of using AI for cybersecurity

7 benefits of using AI for cybersecurity
Written by ga_dahmani
7 benefits of using AI for cybersecurity

The cyberattack space is massive and has continued to evolve rapidly. For that reason, cybersecurity has become an integral part of every business plan. With cybercrime on the rise, there’s no denying that organizations need more than human intervention to mitigate risks.

Due to these challenges, artificial intelligence and cybersecurity they are becoming the main focus of business technology. AI for cybersecurity can help teams eliminate data breaches and strengthen their security measures.

AI was designed to mimic human intelligence and automate tasks that require 24/7 human oversight and intervention. If used well, it can analyze many events to detect various types of cyber threats, from phishing attacks for malware, ransomwareand zero-day vulnerabilities. These technologies constantly learn by using data from previous cyberattacks to identify potential threats.

This article takes a look at the benefits of artificial intelligence in cybersecurity.

Network traffic monitoring

An organization’s network performs many activities and there is a tremendous amount of data exchange between companies and their customers. This sensitive data needs adequate protection against hackers and other malicious access.

However, IT security personnel cannot independently analyze all of this traffic. AI for cybersecurity can help you identify threats disguised as normal traffic. Unlike humans, AI can process and analyze large amounts of data more thoroughly and in less time.

Threat detection

With the rate at which cyber threats are evolving, it is a fact that traditional rules-based security systems cannot keep up. This is where AI systems come in. AI technologies are equipped with advanced algorithms to detect malware activity, perform pattern recognition, and identify abnormal behavior before system compromise.

AI has superior predictive intelligence with natural language, image, and other digital data processing capabilities that allow it to obtain data for itself through web scraping. This intelligence can provide security teams with insights into the latest attacks to create a better cybersecurity plan.

Vulnerability Management

Proper vulnerability management is the best way to protect an organization’s network. As mentioned above, a large amount of traffic runs through an organization’s network and it becomes imperative to detect, identify and prevent malicious access to this traffic.

Unlike human security personnel, AI can quickly learn network behavior to identify system weaknesses so organizations can focus on ways to mitigate those risks. This can help improve vulnerability management and the organization can secure network systems in time.

risk prediction

AI systems can help determine your IT asset inventory, a documented record of all tangible and intangible assets. Cybercriminals always try to target these assets. With the help of AI in cybersecurityyou can predict how and when a cyber attack will occur and plan accordingly to allocate resources to the most vulnerable areas.

Better endpoint protection

The number of devices we use in our workplace is increasing rapidly and becoming impossible for cybersecurity personnel to keep track of. Artificial intelligence has a vital role to play in protecting devices. VPNs and antivirus solutions can protect your system from malware and data hijacking based on known firms. However, to protect your systems from new threats, you must stay up-to-date with signature definitions.

This can pose a significant threat if your virus definition is delayed due to update failures. In such cases, signature-based protection may not be able to protect you from new malware threats. But, using AI for cybersecurity will help you create a baseline that defines abnormal behavior of endpoint devices.

AI flags any activity that deviates from this baseline and takes appropriate action. You may report unusual activity to appropriate security personnel. So instead of waiting for signature updates like with antivirus solutions, the AI ​​takes a proactive prevention approach against threats.

Reduction of duplicate processes

Cybercriminals are constantly looking for new ways to attack organizations and compromise their network resources. Most of the time, we use the same basic security practices every day. Human security personnel can become bored or experience fatigue and miss a critical network update, exposing your network to threats.

AI was developed to mimic the best of human qualities and eliminate shortcomings. This allows AI to take care of duplicate processes that could wear down your security staff. Perform regular security checks to identify and prevent cyber threats.

incident response

When an attack occurs, organizations must respond quickly to reduce risk and damage. A manual incident response strategy slows threat detection and required response, putting customer data at risk. However, an AI automated response can monitor millions of security activities daily, understand threat patterns, and respond faster to critical events than cybersecurity personnel.

With AI automated incident response, you can prioritize incident response events and ensure you have the necessary resources focused high.

Is AI always effective in cybersecurity?

The use of AI in cybersecurity it is mostly effective. It can help analyze huge amounts of data quickly to detect and prevent unauthorized access before cybercriminals can do any damage. Additionally, AI systems are always on guard, using predictive techniques to identify threats and prevent them from compromising your network.

However, there is debate in the field about how effective AI in cybersecurity is exactly. The problem here is that sometimes small but accurate data is more efficient in practice (data-centric AI). You don’t always need large volumes of information to create accurate models. In fact, more often than not, large data sets can lead AI systems to generate false positives and incorrect results.

According to US data scientist Andrew Ng, in some industries that can’t afford big data sets, it’s better to focus on “good data” rather than “big data.”

How do bad actors take advantage of AI?

AI is a double-edged sword that enables malicious threats and also prevents cybercrimes. Malicious hackers can take advantage of AI tools to improve the accuracy and effectiveness of their attacks. They can use AI to evade detection by learning the most common detection rules. Fuzzing is one of the standard techniques cybercriminals use to expose software weaknesses and exploit them.

Using AI can improve the accuracy and precision of the attack, resulting in more devastating damage. Additionally, cybercriminals can use AI to improve phishing attacks. When AI fuels a phishing attack, cybercriminals can extract only the information they need, making it harder for traditional security solutions to detect malware.

final thoughts

AI is rapidly evolving and is becoming a must-have technology for all companies that want to improve their cybersecurity plan. The landscape of cyber attacks is growing and humans cannot prevent enterprise-level attacks. In addition to that, cybercriminals are also adopting AI in their practices.

The use of AI in cybersecurity offers more information and better threat identification that security personnel can use to reduce data breaches and strengthen their security plans. The time has come to take a decisive step towards using AI for cybersecurity to improve your IT infrastructure.

The charge 7 benefits of using AI for cybersecurity first appeared in EasyDMARC.

*** This is a syndicated Security Bloggers Network blog from EasyDMARC written by Knarik Petrosyan. Read the original post at:

About the author


Leave a Comment