Security benefits through artificial intelligence combination drive significant improvements to preventively detect and eliminate security threats by developing anticipatory protection systems against evolving complex cyber threats. The digital era produced massive, interconnected networks and advanced systems, resulting in an extreme growth of attacks that required modern AI-powered security solutions for protection. Conventional reactive security approaches, which initiate resolution actions only after an attack has been detected, are proving insufficient against increasingly sophisticated and intelligent attacks, highlighting the necessity for a paradigm shift towards proactive, self-aware, and self-adaptive intelligent security systems The integration of AI into cybersecurity heralds a transformative paradigm, facilitating the creation of sophisticated systems adept at autonomously gleaning insights from extensive datasets, discerning subtle anomalies indicative of malicious cyber activity, and orchestrating preemptive countermeasures with minimal human intervention, thereby neutralizing threats in their nascent stages, before they can propagate and compromise critical systems and data integrity.
@artical{n1442025ijsea14041010,
Title = "AI in Cybersecurity for Proactive Threat Detection and Prevention ",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "14",
Issue ="4",
Pages ="66 - 69",
Year = "2025",
Authors ="Navya Vemulawada"}