The rise of Agentic AI is redefining enterprise identity, access and security: Rajnish Gupta, Tenable India
As enterprises move beyond GenAI experimentation towards autonomous, agentic systems, the security equation is changing fundamentally. AI agents can now interact with applications, APIs, cloud environments and data, make decisions, and execute actions with limited human intervention, creating a new category of machine identities and expanding the enterprise attack surface. In this interview with Express Computer, Rajnish Gupta, Managing Director & Country Manager, Tenable India, examines the security implications of this shift. He highlights the risks posed by excessive permissions, dormant machine identities and limited visibility across interconnected environments, while outlining why least-privilege access, continuous discovery and exposure management need to become integral to the AI lifecycle.
As enterprises move from using AI as a productivity tool to deploying autonomous AI agents that can make decisions and take actions, how fundamentally does this change the enterprise security landscape? Are organisations prepared to treat AI agents as a new class...
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