AI and ML: The Future of Cyber Security
Cyber security has become a pressing concern, especially with the rise of remote work. Experts stress the importance of robust strategies and advanced technologies to protect against evolving threats.
Threat intelligence platforms and threat hunting tools are now vital, given the shift towards remote work. A multi-layered defence strategy, including a sandbox environment, is recommended to strengthen security posture.
Endpoint security solutions must offer malware and APT analysis to effectively combat cyber attacks. The pandemic has underscored the critical role of endpoint security in preventing breaches.
Artificial Intelligence and Machine Learning (AI/ML), also known as AI, are game-changers in cyber security. They can manage, predict, and avert incidents using actionable intelligence. Legacy systems should be replaced with AI/ML for enhanced security.
Capacity building in cyber security is crucial, particularly in local educational agencies. BTech and MTech programs should focus on AI, cyber forensics, Transport Layer Security, cloud forensics, and malware forensics to equip students with the skills needed to secure digital infrastructure and protect data integrity.
A coordinated approach covering people, processes, and technology is essential for effective cyber security management.
In conclusion, the future of cyber security lies in advanced AI and ML for predictive security patterns. Investment in these technologies, along with capacity building in educational institutions, is vital to stay ahead of emerging threats and ensure robust cyber security.
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