Advanced persistent threat autonomous defense mechanisms using scalable AI models
Keywords:
scalable AI models, autonomous defense, advanced persistent threats, cybersecurityAbstract
Various APTs target networks and steal data, compromising cybersecurity. Conventional security solutions seldom identify and stop sophisticated threats due to their static and signature-based nature. We study scalable AI models as autonomous defense systems that can adapt to APT techniques. Machine and deep learning development, application, strengths, weaknesses, and implementation issues in real-world cybersecurity situations are explored. The article covers AI-driven anomaly detection, real-time threat response, and adaptive threat intelligence. Scalable AI protects against APTs by considering data privacy, model interpretability, and computational restrictions. Scalable AI models may enhance cybersecurity by boosting proactive defenses, detection, and reaction times.
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