Ransomware remains one of the biggest threats to individuals and corporations, primarily because cybercriminals relentlessly look for loopholes. With traditional measures struggling to keep pace with cyber threats, the shift to artificial intelligence (AI) and machine learning (ML) can be revolutionary. With such technologies, detection is automated, damage mitigation strategies are devised, and even attacks are predicted ahead of time. In this article, we review the innovative approaches and AI-enabled solutions that enhance cybersecurity strategies against ransomware.
The Roles of AI in Prevention and Threat Detection
With AI technologies like natural language processing and image recognition, identifying anomalies is faster, more precise, and far better than having to rely on existing systems. By leveraging AI, machine learning algorithms can be combined to identify unique patterns that directly correspond to anomalies. For AI security solutions, the accuracy of cyber attack detection in a real-world environment is reduced by 96% when compared with traditional methods.
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