Introduction
With increasing cyberattacks, machine learning became a critical tool in cybersecurity in 2023. ML-driven systems detect anomalies in real time, preventing data breaches before they occur.
🔐 Key ML Cybersecurity Innovations
- Behavioral Analytics: AI identifies unusual user activities.
- Automated Threat Detection: ML spots malware faster than traditional software.
- Fraud Prevention: AI models flag suspicious banking transactions.
🚀 Future of AI in Cybersecurity
As cybercriminals also adopt AI, a continuous arms race between hackers and security systems is expected.
