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The cybersecurity landscape is undergoing a fundamental shift as artificial intelligence reshapes both digital infrastructure and the nature of threats. Organizations are no longer dealing with isolated attacks but with adaptive, AI-driven risks that challenge traditional defense systems. At the same time, businesses continue to rely on outdated tools, creating gaps in visibility and response.
In this episode of the Analytics Insight Podcast, host Priya Dialani speaks with Muraleekrishnan Nair, Chief Technology Officer, Cybersecurity, Cloud, and Infrastructure (C2i), UST, on how enterprises must rethink security in an AI-first world.
The discussion explores the limits of legacy security models, the growing role of AI in both defense and attack strategies, and the urgent need for zero-trust frameworks and cyber resilience. Here are the excerpts from the interview:
Older security systems were built for fixed networks with clear limits. That setup no longer holds. Cloud use and remote work keep users and data in constant motion. Attackers now go after user access, not just systems. Firewalls alone cannot keep pace, so organizations need tighter monitoring and stricter access control.
AI has changed the rules on both sides. Security teams now use it to detect threats faster and analyze vast data in real time. At the same time, attackers deploy AI to mimic voices, create fake identities, and launch sophisticated scams. This creates a constant race where defense must evolve as quickly as offense.
While the speed is great, the uncertainty is that developers are not always sure what is inside the code. There is a chance that hidden security threats may creep in as well. This makes human oversight critical. Security checks must begin at the development stage, not after deployment.
Zero trust is an approach that changes the mindset from ‘trust by default’ to ‘verify everything.’ In an AI-driven model, identities are not only related to human beings but also to machines and automated agents. Each request is verified in real time and is restricted to performing only specific functions. The risk of abuse is reduced, especially in environments vulnerable to AI manipulation.
Protection alone is no longer enough. It is essential for an organization to be prepared for failures and to have recovery plans in place. Cyber resilience is another concept that deals with how an organization can recover quickly after an attack. It includes having backup systems in place.
To understand the full context, watch the full conversation to learn more about how auto repair is becoming more transparent, reliable, and customer-focused.
