Cybersecurity is a huge concern today! While the companies are continually spending a fortune on cybersecurity, the cost of security breaches is seeing a new high every day. Highly equipped companies are not shying away from spending multibillion dollars towards a plethora of security products to safeguard their data and web presences. Yet, the chief information security officers do not vouch on the reliability of these products and admit that the data remains highly exposed to cyber threats. In this scenario, Cyber Security AI Companies are offering workable solutions. Artificial Intelligence (AI) and machine learning are gearing up in the field of cybersecurity and bringing on the forefront; the ways to enforce better cybersecurity practices to minimize the attack surfaces. This is a prevention method that really works better than chasing after the malware activities.
Let us take a look.
Cyber Security Vs. Artificial Intelligence – An Insight
AI today is being used to detect the cyber attacks and the success rate is quite promising. As per varied IT sector’s academic researches about cyber attacks and security, AI is proving to be an integral tool when it comes to the detection and prevention, with a success rate varying between 85% to 99%. There are varied cybersecurity products that saw improvement in the light of AI, such as DarkTrace. This product alone claims a success rate of 99% with the lowest false positives.
What types of artificial intelligence applications are being used by Cyber Security AI Companies?
There are a number of applications that fall in the domain of Artificial Intelligence Cyber Attack and human imagination has a lot to do with it. Here are a few forms of applications infused with AI that work wonders.
• Spam Filter Applications
• Network Intrusion Detection and Prevention
• Fraud Detection
• Botnet Detection
• Secure User Authentication
• Cyber Security Ratings
• Hacking Incident Forecasting
These applications such as SpamAssassin, which is an open source code for spam mail filtering, make extensive use of machine learning algorithms. Other common machine learning algorithms in cyber attack systems are Random Forest, Decision Tree, and Support Vector Machines. The most common being the Deep Learning algorithm that uses artificial neural networks.
How Artificial Intelligence detects malware or malicious activity?
When Artificial Intelligence Security Companies develop applications to differentiate between normal software and a malware, there are a number of distinct features that they determined beforehand. The features are – accessed APIs, accessed fields on the disk, accessed environmental products (camera, keyboard etc), consumed processor power, consumed bandwidth, and amount of data transmitted over the internet.
These features help a great deal to develop the detection system and thus the software is tested on pre-determined attributes through the eye of Artificial Intelligence, reducing the risk of cyber attack manifolds.
In the current times, a number of leading cybersecurity AI companies are developing applications and are continually focusing on the domain; enhancing their worth at the same time. The IT sector has seen a considerable growth in the number of startups that are focusing on cybersecurity domain. As per CBInsight, the development of applications related to artificial intelligence cybersecurity is on the 5th place.
In case you would like to discuss the cybersecurity aspects of your company’s web presence and online information; we are just a call away!
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