The use of AI in cybersecurity is growing rapidly and is having a significant impact on threat detection, incident response, fraud detection, and vulnerability management. According to a report by Juniper Research, the use of AI for fraud detection and prevention is expected to save businesses $11 billion annually by 2023.
In terms of detecting and responding to security threats in a more efficient and effective manner, AI has been helping businesses in lots of ways. For example, AI can be used to identify patterns in data that may indicate a security threat. This information can then be used to help businesses take steps to prevent or respond to the threat. AI can also be used to monitor and analyze a business's cybersecurity infrastructure for vulnerabilities. This information can then be used to help businesses patch or fix these vulnerabilities before they can be exploited by hackers.
AI is also widely used in web filtering to help organizations and individuals protect against malicious websites and content on the internet. Its AI algorithms analyze and classify web content in real-time, which allows web filtering software to quickly identify and block websites that contain harmful content, such as malware, phishing scams, and inappropriate material. These algorithms can also learn and adapt to new threats over time, making web filtering more effective and efficient. AI also helps personalize web filtering, allowing individuals and organizations to customize their web filtering settings based on their specific needs and preferences.
Integrating AI into business cybersecurity infrastructure can help businesses in a number of ways. However, it is important to take steps to ensure that the AI system is secure from hackers. One way to do this is to use a cloud-based AI system that is constantly updated with the latest security features and protections.