Machine Learning (ML) is redefining cybersecurity by leveraging data-driven algorithms to detect, predict, and mitigate threats in real-time. Traditional security systems rely on predefined rules, while ML adapts dynamically to evolving cyber threats.
Key Applications of ML in Cybersecurity
✅ Threat Detection & Prevention – ML models analyze patterns to identify malware, phishing, and zero-day attacks.
✅ Anomaly Detection – AI-driven systems detect unusual network behavior, reducing insider threats.
✅ Automated Incident Response – ML-powered SIEMs accelerate response to cyberattacks.
Example:
🔹 Google’s Safe Browsing uses ML to detect phishing sites.
🔹 Darktrace employs AI to combat cyber threats in real time.
🛡️ Stay ahead with AI-driven cybersecurity!
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