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From Firewalls to AI: The Evolution of Real-Time Cyber Defense
The traditional Intrusion Detection Systems (IDS) have depended on rule-based or signature-based detection, which are challenged by evolving cyber threats. Through the introduction of Artificial Intelligence (AI), real-time intrusion detection has become more dynamic and efficient. Today we’re going to discuss the various AI algorithms that can be investigated to identify what works best when it comes to identifying anomalies and threats in firewall security. Exploring AI Algorithms for Intrusion Detection Random Forest (RF) is a machine learning algorithm that generates several decision trees and aggregates their predictions in order to classify network traffic as malicious or normal. RF is extremely popular in IDS due to its fast processing, interpretability, and ability…
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