NK MEHTA
CEO & MD, Secure Network Solutions India Pvt. Ltd.
It has been a natural progression for SNS to deliver AI-integrated cybersecurity solutions, and we have been doing so for the past couple of years. Our team has undergone intensive training to design, deploy, manage, and deliver AI-integrated security solutions, and we continue to upskill as the technology evolves. The key challenges we see are security—fully trusting AI for threat detection and prevention—followed by skills, particularly AI-aware security professionals, compliance in explaining AI decisions to regulators and auditors, and finally infrastructure readiness.
To address risks such as deepfakes, cyber fraud, and data privacy, cybersecurity solutions integrated with AI are trained using techniques implemented by OEMs, commonly known as adversarial training, which strengthens AI models and minimises risk. In terms of data privacy, OEMs have implemented controls such as data minimisation, data anonymisation, on-premise deployments, data localisation, regulatory compliance, and certifications to demonstrate privacy safeguards. These measures collectively help reduce privacy concerns while deploying AI-driven security solutions for customers.
Cybersecurity design for cloud-native and hybrid architectures is shaped by scalability, privacy, multi-tenancy, continuously learning AI, and performance, requiring different approaches, skills, and deployment mechanisms. SNS continuously focuses on skill-building through an in- house learning management platform and dedicated teams for cloud security services. As Digital India accelerates digitisation across identity, payments, healthcare, education, and public services, AI-integrated cybersecurity becomes critical. SNS continues to safeguard such initiatives through strong OEM partnerships and in-house trained cybersecurity specialists.
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