Cyber Defense in Action: How Machine Learning Stops Next-Gen Attacks скачать в хорошем качестве

Cyber Defense in Action: How Machine Learning Stops Next-Gen Attacks

In this video, we explore how machine learning is transforming cyber defense — detecting and preventing next-generation attacks that traditional methods struggle with. From anomaly detection and threat prediction to automated response systems, you’ll learn how ML-based techniques can safeguard networks, data, and infrastructure in real-time. What you’ll discover: The evolving landscape of cyber threats and why conventional defenses fall short Key ML methods: anomaly detection, clustering, classification, reinforcement learning Real-world use-cases: how ML has prevented or mitigated attacks Challenges & limitations: data quality, adversarial attacks, false positives Best practices for deploying ML systems securely in security operations 🔔 Don’t forget to subscribe for more videos on AI, cybersecurity, and next-gen technologies!