Machine Learning in Cyber Security

Machine learning has revolutionized the field of cyber security. In this article, we’ll explore how ML algorithms help detect threats and protect systems.

Why Machine Learning?

Traditional security systems struggle to keep up with evolving threats. Machine learning offers:

  • Real-time threat detection
  • Pattern recognition
  • Automated response
  • Continuous learning

Applications

1. Anomaly Detection

ML models can identify unusual patterns in network traffic.

2. Malware Classification

Automated identification of malicious software.

3. Phishing Detection

Recognizing fraudulent emails and websites.

Conclusion

Machine learning is transforming cyber security, making systems smarter and more resilient against attacks.