Okta Survey on AI Governance in Indian Organizations Reveals Growing Security Gaps

Indian enterprises are moving quickly to embrace artificial intelligence, but a new study suggests that governance and security frameworks may not be keeping pace. The latest Okta survey on AI governance in Indian organisations reveals a growing gap between AI adoption ambitions and the controls required to manage AI securely at scale.

Based on polls conducted during Okta’s AI Identity Summits in Mumbai and Bengaluru, the findings show strong enthusiasm for AI-powered transformation across customer experiences, applications, and business operations. At the same time, they expose concerns around visibility, access management, and oversight of AI-driven systems.

AI Adoption Is Moving Faster Than Governance

The research found that nearly 73% of respondents believe their organisations are either very prepared or somewhat prepared to deliver AI-powered digital experiences. This reflects the growing momentum behind AI adoption across Indian enterprises.

However, preparedness appears to weaken when governance enters the conversation. Only 14% of respondents reported having full visibility into all AI agents and non-human identities operating across their environments. Even fewer organisations appear ready to manage AI risks consistently across complex digital ecosystems.

This signals a key challenge for businesses: adopting AI is one task, but governing it effectively is becoming an entirely different one.

Visibility and Control Remain Key Concerns

As AI agents become increasingly integrated into enterprise systems, organizations need the ability to monitor and control them. Yet the survey suggests many companies are still building these capabilities.

Only 17% of respondents said they could restrict or suspend an AI agent across all environments if required, while 51% said they could do so only in certain situations. Confidence levels were similarly modest when it came to managing non-human identities such as APIs, service accounts, and AI agents.

The findings point to a broader issue facing India enterprise cybersecurity teams: maintaining trust and control as automated systems gain access to more business-critical data and workflows.

Identity Security Moves to the Centre of AI Strategy

According to Matthew Graham, organisations are shifting their focus from simply adopting AI to governing it consistently and securely.

The survey found that only 14% of respondents were very confident that AI agents had access only to the systems and data necessary for their tasks. This highlights the growing importance of identity-based security models as enterprises expand their AI initiatives.

As AI agents, APIs, and other non-human identities become more common across Okta Platform tenants and enterprise environments, stronger lifecycle management, visibility, and access governance are becoming essential.

A Critical Phase for AI Maturity

The research suggests that Indian enterprises are entering a new phase of AI maturity. The conversation is no longer centred solely on innovation. Instead, organisations are increasingly focused on balancing innovation with accountability, security, and trust.

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