Prerequisite: None
As organizations adopt AI agents to automate data-driven decision-making, ensuring secure and controlled access to enterprise data becomes a critical challenge. Autonomous AI agents have the potential to streamline queries, automate reporting, and enable real-time insights, but without robust security, they introduce significant risks related to privacy, compliance, and data governance.
This fireside chat will explore strategies for building secure AI agents that balance autonomy with accountability. Key approaches include integrating role-based access control, applying data masking and encryption techniques, enforcing auditability, and embedding policy-driven guardrails into agent workflows. By combining advanced security mechanisms with adaptive learning, enterprises can confidently deploy AI agents that provide intelligent, autonomous data access—while protecting sensitive information and maintaining trust.