Securing the future: Navigating AI risks in an evolving digital world

In this episode of the EY India Insights Podcast, we address a pressing digital challenge: AI Security. As AI becomes central to organizational operations, it introduces risks that demand proactive management. Mini Gupta, Partner, Cybersecurity Consulting, EY India, shares insights on mitigating these risks while balancing innovation, ethics, and governance.

Mini highlights threats such as adversarial attacks, data poisoning, model inversion, and zero-click vulnerabilities, stressing the need for a lifecycle security approach—from design to deployment—supported by strong access controls, monitoring, and responsible governance.

Key takeaways:

• Top AI security risks include adversarial attacks, data poisoning, model inversion, and zero-click vulnerabilities.
• AI security must follow a full lifecycle approach—starting from secure data sourcing and model design to deployment and monitoring.
• Future trends in AI security include AI-powered threat detection, formal verification for AI systems, secure AI supply chains, and stricter regulations like the EU AI Act and India’s sector-specific guidelines.

Tune in to explore key AI security risks and how organizations can build resilient, ethical, and future-ready AI systems across industries.