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Using AI for cybersecurity can help identify threats, automate malware detection, and improve response times. It can also strengthen an organization’s network by monitoring for vulnerabilities.

AI can also be used to identify patterns in cyber attacks. This helps detect anomalies in real-time, reducing the number of false positives. It can also prevent the spread of malware by identifying new threats before they are exploited. It can also help improve security programs, identifying gaps and recommending resources for weak areas.

Using AI for cybersecurity can be a good option, but it’s important to understand the risks. Machine learning systems can make mistakes, and cybercriminals may use AI for social engineering. If your AI system is trained with adversarial examples, it may not identify threats, or even worse, wait for the right moment to launch a malicious attack.

If you’re using AI for cybersecurity, you should monitor other cybersecurity infrastructure, including email security tools, to ensure your security is effective. You should also use a security policy to identify suspicious activity and enforce a zero-trust model.

AI can also help you build profiles of users and assets. These profiles help AI to recognize deviations from the normal behavior of users and assets. These profiles are built by collecting information from network behavior.

AI can also be integrated with email security tools, detecting spear phishing and potentially malicious emails. It can also be used to block potentially malicious emails, blocking them before they ever reach their target.