HomeCII/OTVimal Mani Discusses Challenges in Generative AI for Cybersecurity

Vimal Mani Discusses Challenges in Generative AI for Cybersecurity

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Vimal Mani, the Head of Information Security, Data Privacy & Protection, and IT GRC Programs at a leading commercial bank in the UAE, is recognized for his leadership and innovation in the field of cybersecurity. With a strong background in implementing robust cybersecurity frameworks and integrating advanced technologies, Vimal has been instrumental in utilizing Artificial Intelligence (AI) to enhance the bank’s security posture.

In a recent interview with The Cyber Express, Vimal shared his insights on the role of AI in cybersecurity, especially within the banking sector. He highlighted the importance of deploying AI-driven technologies for effective threat detection and response, as well as the essential AI Governance, Risk, and Compliance (GRC) standards. Moreover, Vimal delved into the ethical considerations and the balance between data privacy and security, shedding light on future trends in AI that are poised to revolutionize the industry.

When asked about the most effective AI-driven technologies for threat detection and response, Vimal emphasized the importance of Operational Cyber Threat Intelligence (CTI) and AI technologies for digital forensic analysis. He also discussed the challenges faced in integrating AI into cybersecurity practices, such as Algorithmic Bias and Fairness Concerns, and outlined strategies to mitigate these challenges effectively.

Regarding AI Governance, Risk, and Compliance (GRC) standards, Vimal highlighted the need for frameworks to regulate AI-driven systems and ensure data privacy and consumer protection. He stressed the importance of continuous monitoring and auditing of AI systems to maintain transparency and accountability.

In terms of balancing data privacy and cybersecurity requirements, Vimal noted that AI technologies can enhance cybersecurity practices while also posing risks related to biases. He emphasized the importance of building awareness, developing robust GRC standards, and promoting active participation in shaping the future of AI-powered cybersecurity.

Looking towards the future, Vimal anticipated trends such as Real Time Fraud Detection, AI-driven Endpoint Security, Predictive Cyber Security Analytics, and Automated Incident Response to impact the banking sector significantly. He mentioned ongoing studies of AI-driven cybersecurity technologies to align with evolving industry trends.

In terms of team training and integration of AI technologies, Vimal highlighted the importance of conducting security awareness programs and staying updated on the latest AI solutions in the cybersecurity space. He emphasized the need for ethical considerations in implementing AI systems and the importance of adhering to AI GRC guidelines.

In conclusion, Vimal shared successful AI-enabled cybersecurity use cases and stressed the importance of continuous training and learning around AI-driven technologies. He also provided valuable recommendations for CISOs and DPOs in the banking sector to ensure a smooth and effective transition to AI-powered cybersecurity frameworks. Vimal’s strategic approach and forward-thinking mindset position him as a key figure in driving cybersecurity innovation in the banking sector.

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