While increasing organizational productivity and efficiency, AI and analytics also come with some concerns

Murtaza Bhatia, Director, Cyber-security, India, NTT DATA

“Data collection must be done with explicit consent within defined timeframes. This data must be stored in secure locations, allowing for deletion upon request, and processing should only be undertaken for specific, identified purposes by authorized personnel.”

Murtaza Bhatia, Director, Cyber-security, India, NTT DATA points out that businesses are facing various cybersecurity threats. Their concerns primarily revolve around data security and privacy, with the adoption of AI and machine learning introducing new complexities. “AI and analytics, while offering advancements in organizational productivity and efficiency, also present certain risks when they are leveraged by adversaries. These technologies enable faster recognition and exploitation of vulnerabilities, accelerating attack methodologies beyond previous capabilities. This affects various threat vectors, including application-level attacks, ransomware, encryption, and cloud security. While organizations seek to enhance their analytics and productivity through AI, adversaries exploit similar technologies to shorten attack cycles and bypass defences more effectively. As technology continues to advance, organizations must remain vigilant and adaptive to mitigate these evolving risks effectively,” Murtaza comments.