What are some effective AI penetration testing methods?
AI penetration testing methods include automated vulnerability scanning, machine learning for threat detection, and behavior analysis.
Can you explain how machine learning is used in penetration testing?
Machine learning algorithms analyze patterns in data to identify potential vulnerabilities and predict attack vectors.
What tools can I use for AI-based penetration testing?
Some popular tools include Metasploit, Burp Suite with AI plugins, and OWASP ZAP with machine learning capabilities.
Are there any limitations to using AI in penetration testing?
Yes, AI can struggle with false positives, requires quality data for training, and may not adapt well to novel attack methods.
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