Search for content, post, videos

Artificial Intelligence Tools in Cybersecurity

Cybersecurity continues to be a hot topic. According to a World Economic Forum report, the global spending on cybersecurity has now reached $145 billion a year, and by 2035 it is expected to exceed $1 trillion.

As cyber threats become more complex, AI for cybersecurity has become necessary and is becoming a game-changer. Therefore, organizations are massively investing in Artificial Intelligence in order to help cybersecurity professionals identify potential threats, take protective measures, and accelerate response time. By analyzing large quantities of data, AI manages to speed up response times and enhance under-resourced security operations. In this article, we present four cybersecurity AI tools, which you might find useful and start using them in the future.

IBM QRadar Advisor with Watson: By using the cognitive artificial intelligence of IBM, this tool helps reduce the duration of incident investigations. It performs an automatic incident investigation, detects threats with higher risks and it prioritizes the list of investigations based on the greatest risks. In addition, this tool provides insights about users and critical assets. The more details and information you have during an incident investigation the better, that’s because it allows an organization to save a lot of time and effort.

In addition, by using external threat intel feeds, Watson provides great feedback. This is done by applying cognitive reasoning, which helps in identifying the possible threats and connect threat entities related to the original incident such as mistrustful IP addresses, malicious files, etc. Depending on the edition you select, this tool also meets the requirements of ISO/IEC 27001.

Targeted Attack Analytics (TAA): Developed by Symantec by employing AI and Machine Learning, this tool is used to discover hidden and targeted attacks. These hidden cyber-attacks, if not treated, will give hackers access to systems. TAA reveals suspicious actions at each endpoint and gathers information to define whether each action has hidden malicious activity. This will allow users to identify the threat and take the necessary actions. It’s free of charge for existing Symantec Advanced Threat Protection (ATP) customers.

Sophos’ Intercept X tool: This tool is integrated with a deep learning neural network, which helps protect against different malware attacks. It has different specific defense measures, including network threat protection and malicious behavior detection, scanning of files in real-time, data loss protection, etc. Its predictive approach allows users to protect against both known and unknown threats. From detection of malware to ransomware protection, it is packed with layers of robust security. Moreover, it has good reporting features including alerts sent to the admin if there is something wrong with the tool. This tool has no free version, however, a 30-day free trial is available.

The usage of deep learning technology makes this tool more adaptable, functional, and powerful against unknown and complex threats. Deep learning is used for the purpose of outperforming endpoint security solutions that use traditional machine learning or signature-based detection alone.

Cognito: Developed by Vectra, this tool is an AI-driven threat detection and response system inside the cloud, data center, IoT, and enterprise networks. In real time, it gathers, identifies, and prioritizes the biggest risks and responds with automated alerts to the security employees, which allows them to respond in a timely manner. Moreover, it quickly identifies hidden attackers through a combination of machine learning techniques. It has no free version, however, it offers a free trial and you can request a 30-minute demo.

Due to their ability to analyze a much greater volume of data compared to security professionals, organizations should consider adopting these new technologies in order to accelerate growth and stay ahead of threats. AI is one of the tools that will impact most areas of cybersecurity. That is why organizations should keep Artificial Intelligence on top of their cybersecurity strategies.

Leave a Reply

Your email address will not be published. Required fields are marked *