The Evolution of AI in Cybersecurity
The integration of cybersecurity and artificial intelligence (AI) has evolved significantly over time. In the early days, traditional methods such as firewalls and antivirus software were prevalent, and AI concepts were limited in practical application due to technological constraints. However, in the late 1990s and early 2000s, AI started to play a role in Intrusion Detection Systems (IDS), using techniques to analyze network traffic patterns and detect anomalies that might indicate a security breach. The use of machine learning algorithms also became prominent, helping to analyze data patterns and identify potential threats. Behavioral analysis, a form of AI, gained prominence in detecting malware and other cyber threats by understanding normal behavior and identifying deviations from the norm.
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