AI cybersecurity is the ability to detect and respond to threats using artificial intelligence (AI). Various types of AI can be used in cyber security, including machine learning and deep learning.
Malware is constantly evolving, so AI cybersecurity tools can detect new malware without requiring the specific code signatures that are often required by other cybersecurity solutions. This is a huge advantage for organizations that are looking to prevent new threats before they happen.
Identifying and stopping attacks is also made easier by AI algorithms, which can automate many tasks that security teams do manually. These include identifying phishing emails and analyzing network traffic patterns for indicators of malicious behavior.
Preventing spear phishing and other more advanced cyberthreats is another major use case for AI in cybersecurity. These tools can monitor large amounts of data and spot suspicious activity, allowing them to intercept hackers before they infiltrate systems.
Ongoing learning, discovering unknown threats, and mapping vulnerabilities are also benefits of AI cybersecurity tools. As attackers devise more sophisticated attack vectors, they are also developing ways to avoid detection and bypass protection.
Integration with existing security systems is a critical factor in AI cybersecurity, as these tools need to be an integral part of an organization’s overall security architecture. This means that they should be able to work with systems that are already being used in an organization’s security operations center (SOC).
When choosing a cybersecurity system that uses AI, look for one that fits into the Zero Trust Security framework. You also want a solution that is easy to deploy, has seamless integration with other cybersecurity solutions, and is maintained in real time.