Cybersecurity is evolving at breakneck speed, and traditional methods of threat detection and protection are struggling to keep pace with today’s increasingly sophisticated cyberattacks. That’s where Artificial Intelligence (AI) steps in. AI is no longer just a nice-to-have tool; it’s now the backbone of modern cybersecurity strategies. By enabling real-time threat detection, predictive analytics, and automated defenses, AI is identifying and stopping security breaches faster and more accurately than ever before.
We had the opportunity to speak with Srividya Kannan, Founder and CEO, Avaali Solutions, to explore how AI is revolutionizing cybersecurity and what lies ahead as this game-changing technology continues to evolve over the next decade.
How AI Has Improved Threat Detection?
Artificial Intelligence (AI) has emerged as a game-changer in the evolving landscape of cybersecurity. Traditional threat detection methods often struggle to keep pace with cybercriminals’ rapidly changing techniques. Conversely, AI leverages advanced algorithms and machine learning to identify and mitigate threats more efficiently and effectively.
Key Improvements Brought by AI in Cyber Threat Detection
1. Real-Time Threat Detection and Response
AI systems can process vast amounts of data in real-time, enabling them to detect threats instantly. Unlike traditional methods that rely on pre-defined rules and signatures, AI can identify patterns and anomalies that suggest suspicious activity, providing immediate alerts and responses.
2. Behavioral Analysis
This story is from the October 2024 edition of PCQuest.
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This story is from the October 2024 edition of PCQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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