Faced with increasingly automated cyberattacks, traditional defense methods are no longer enough. Artificial Intelligence is now the essential shield for anticipating, detecting, and neutralizing web threats.

1. Zero-Day Threat Detection

AI excels where classic virus signatures fail. By analyzing millions of transactions, Deep Learning models identify unprecedented malicious behaviors (Zero-day) even before they are listed in global databases.

2. Combatting Phishing and Social Engineering

Phishing attacks have become extremely credible thanks to generative AI. In response, security tools now analyze email semantics and website structures to block fraud attempts with surgical precision.

3. User Behavior Analytics (UBA)

Instead of just checking passwords, AI monitors User Behavior Analytics. If a user logs in from an unusual location or exhibits a different typing rhythm, the system can instantly require multi-factor authentication (MFA).

4. Automated Vulnerability Patching

AI drastically reduces "exposure time." It can scan an application's source code, identify a security flaw, and suggest (or apply) a patch automatically before the vulnerability is exploited.

5. Ethical Challenges and "Adversarial AI"

The main challenge lies in the fact that hackers also use AI. This digital arms race requires strict governance and transparency in how security algorithms make decisions to avoid massive false positives.

In conclusion, AI transforms web security from a reactive posture to proactive resilience, capable of adapting in milliseconds to the constantly evolving threat landscape.