AI assisted defense
Machine learning detects unknown threats: based on behavior analysis to identify abnormal traffic, UEBA user behavior analysis, automated alarm grading. Large model assisted SOC: automatically analyze logs, generate reports, and recommend disposal solutions.
AI assisted attack
Automated phishing: AI generates personalized phishing emails, increasing conversion rates by 30%. Deep forgery: AI face swapping videos used for fraud. Intelligent vulnerability exploitation: AI automatically mines and exploits vulnerabilities.
Offensive and defensive game
AI detection AI: Adversarial sample attacks can bypass ML detection. The defense requires adversarial machine learning (Adversarial ML) and model robustness training.
Future trends
AI driven SOAR (security orchestration automation response), big model security assistant, AI governance and supervision. In the next 5 years, the AI security tool market will grow threefold.
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