Using Artificial Intelligence in CyberSecurity For Better Protection

Benefits of using AI in cybersecurity

Most of you have heard of the term “artificial intelligence.” It’s currently the latest trend in the IT industry. In simple terms, Artificial Intelligence gives machines brain-like intelligence to perform tasks with critical thinking.

In this article we are going to talk about the importance of artificial intelligence for cybersecurity. Let’s find out how can you improve your cyber security with AI tools and software.

The Importance of Artificial Intelligence

With an increase in the number of cybercrimes. The cybersecurity board is coming up with more and more innovative strategies to counter online hackers. One of the most recent strategies that they adopted is “cyber security artificial intelligence“.

It means implementing the functioning of Artificial Intelligence in its system. As a result, detecting online hackers and curing computer viruses have become much easier. More and more large tech companies are adopting these strategies to get a better level of protection for themselves.

Companies Using Artificial Intelligence For Cybersecurity

Here is the list of the top five AI cybersecurity companies in the USA that use the power of Artificial Intelligence in their products to prevent cyber attacks and win customers.


CrowdStrike Holdings, Inc. is a newcomer to the cybersecurity industry, founded in 2011. The company’s main security system is called CrowdStrike Falcon which mixes cloud and on-device aspects.

The system’s secret weapon is an AI-based detection technology known as user and entity behaviour analytics (UEBA). The UEBA idea is one of the primary inventions that has propelled the system security industry forward, allowing too many new infections into devices due to a defective AV detection mechanism.


Darktrace’s enterprise immune system serves as a foundation for all of the company’s cybersecurity solutions. EIS employs AI techniques and uses unsupervised machine learning to create status rule bases. When EIS is first implemented on a network, it must first build a baseline of usual activity.

In Darktrace jargon, this is referred to as the “pattern of life.” To create this record of standard conduct, traffic patterns for each network, the activity of each network device, and the behaviour of each user are all simulated.


SAP NS2, which was spun up from SAP in 2005, utilises SAP’s data analytics and fusion technology for cybersecurity, collaborating with a variety of US security agencies and organisations.

Their AI and machine learning technology assist national security personnel in processing large amounts of data and protecting sensitive information as it travels via various locations.

SAP NS2 systems perform the difficult task of protecting supply chains. This includes dozens of enterprises working in a range of circumstances, in addition to their work with defence sector customers. AI and machine learning are also used by corporations to defend cloud platforms for a variety of clients.

Secure Vade

Vade Secure is a major email defence company that uses artificial intelligence and machine learning to defend more than 600 million mailboxes in 76 countries against attacks such as spear phishing, ransomware, and malware. We’ll use the money to keep investing in our AI-based threat detection engine and expand Vade’s leadership in email security for ISPs.


Cynet’s network threat detection solutions use AI to analyse threats and take action automatically. Cynet’s philosophy is to make advanced threat protection as simple as using any other system monitoring tool. Cynet 360 is the company’s only product.

This is a comprehensive cybersecurity solution that covers antivirus endpoint protection, threat prediction, user behaviour modelling, and vulnerability management.

5 Practical Applications of Artificial Intelligence in Cybersecurity

Checking for security

Immigration authorities and customs officers can discover persons who are lying about their intentions through security screening. The screening procedure, on the other hand, is prone to errors. Furthermore, human-based screening might result in mistakes since individuals become fatigued and easily distracted.

The US Department of Homeland Security has created AVATAR, a device that analyses people’s body language and facial emotions. AVATAR uses AI and Big Data to detect subtle changes in facial expressions and body language that might arouse suspicion.

A screen with a virtual face that asks inquiries is part of the system. It tracks variations in their responses as well as voice tone discrepancies. The information gathered is compared to elements that might suggest that someone is dishonest. Passengers that appear suspicious are highlighted for additional investigation.

Crime prevention and security

The New York Police Department has been using the Computer Statistics (CompStat) AI system since 1995. CompStat is an early kind of AI that incorporates organisational management and philosophy but relies on a variety of software tools. CompStat was the first tool used for “predictive policing,” and since then, numerous police stations around the United States have utilised it to investigate crimes.

Armoury, a California-based AI-based criminal analysis tool, uses AI and game theory to identify terrorist threats. Armoury is also used by the Coast Guard for port security in Los Angeles, Boston, and New York.

Investigate mobile endpoints

Google is analysing mobile endpoint risks using AI. This study may be used by businesses to safeguard the expanding number of personal mobile devices.

Zimperium and MobileIron have established a partnership to assist businesses to embrace artificial intelligence-based mobile anti-malware solutions. Combining Zimperium’s AI-based threat detection with MobileIron’s compliance and security engine, improves network, device, and application risk mitigation.

Skycure, Lookout, and Wandera are some of the other mobile security firms. To detect possible dangers, each company employs its own AI system.

Advanced cyber-attacks detection

The Energy Saving Trust is a non-profit organisation dedicated to reducing carbon emissions in the United Kingdom. The organisation was searching for a cutting-edge cyber security solution to complement its comprehensive cyber defence strategy. This involves protecting the company’s vital assets from sophisticated cyber-attacks, such as intellectual property and sensitive client data.

The business opted to focus on Darktrace’s Enterprise Immune System after thorough consideration. Machine learning is at the heart of Darktrace’s platform. The platform learns precise patterns by modelling the behaviours of every device, user, and network. Darktrace detects unusual activity automatically and notifies the organisation in real-time.

Energy Saving Trust was able to notice several unusual behaviours as soon as they occurred and warn the security team, allowing them to conduct additional investigations and mitigate any danger before it caused actual harm.

Threat Response Time Reduction

A major financial institution faced sophisticated cyber threats and sophisticated attacks. The bank’s threat identification and response need improvement. The current approach was unable to adequately detect and neutralise emerging threats.

The bank uses Paladin’s AI-based Managed Detection and Response Service (MDR). Paladin threat hunting service is built on machine learning and data analytics.

Exfiltration of data, sophisticated targeted assaults, ransomware, malware, zero-day attacks, social engineering, and encrypted attacks are all examples of this.

So far it all sounds good, right? But, we all need to remember that apart from advantages, each new technology has its disadvantages too. So now, let us talk about some of the disadvantages of artificial intelligence and cybersecurity.


Artificial intelligence (AI) is quickly becoming a must-have tool for improving the effectiveness of IT security teams. Humans can no longer scale to adequately safeguard an enterprise-level attack surface, thus AI provides much-needed analysis and threat detection that security professionals can employ to reduce breach risk and improve security posture.

Furthermore, AI may assist in identifying and prioritizing risks, directing incident response, and detecting malware assaults before they occur.

Despite its drawbacks, AI will help enterprises improve their cybersecurity posture. Want to see how you can use Artificial Intelligence in cybersecurity protocols? Contact WPG today to get cyber security services.

Picture of Hitesh Patel
Hitesh Patel
Hitesh Patel is an engineer turned business owner of WPG Consulting. He is a techie enthusiast who believes in finding creative IT solutions to solve consumer problems.

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