One step ahead of agentic AI: The security team’s new playbook

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By Sujatha Iyer, Head of AI (Security), Zoho Corp

Agentic AI systems that are capable of contextual reasoning, retrieving relevant information from different systems, and acting autonomously, can create enterprise value only when built on privacy-first boundaries. When the access is not properly scoped, even a single overbroad query to an agent that operates across multiple enterprise systems can end up triggering a cascade of security vulnerabilities.
For instance, if a manager asks a payroll AI agent what the salary structure for a particular job level is, the agent should not inadvertently reveal the exact salaries of individual employees instead of returning an approved compensation range. Understanding the nuance between simple analytics queries and queries involving sensitive data can make or break AI adoption.

As businesses are rushing to win the AI race, key decision makers should not forget that hasty AI integrations will only add to the security team’s...

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