BotNet News

Your source for Online Security News

AI cybersecurity

The best AI cybersecurity solutions are able to quickly and efficiently scan systems and networks for vulnerabilities that attackers can exploit. They also provide valuable threat intelligence that helps organizations protect their data, applications, and infrastructure from attack. They can also help streamline incident response processes by detecting and analyzing threat patterns, and automatically isolating affected systems and triggering incident response workflows to minimize the impact of cyberattacks.

Unlike traditional antivirus software that uses signatures to expose threats, AI-powered cybersecurity solutions use machine learning to identify malicious activities and protect against attacks that would otherwise slip through the cracks. This technology analyzes data from multiple sources across the organization’s network, correlates and contextualizes it, and develops threat profiles. AI can then detect and respond to these threats in real-time, avoiding costly breaches and minimizing the impact of an attack.

AI can detect many different types of threats — from malware that uses zero-day vulnerabilities to targeted attacks against remote workers using compromised devices. It can do so by comparing live activity to a model of “normal” behavior from both the organization and individual users, identifying anomalies that may indicate a security breach or compromise.

Ensure the best AI cybersecurity tools are in place by following all best practices for security and conducting vendor evaluations. Also, implementing a zero-trust model that verifies people and systems continuously can strengthen your defenses against threats. Finally, compartmentalizing AI processes can improve the security of your solution by separating and protecting critical training and model parameters from manipulation.