White Paper

Enterprise‑grade security in AI for communications: Building safety where people actually work

As AI becomes embedded in meetings, messages, and contact centers, security has to move closer to the conversations where work happens. This white paper explains how organizations can govern AI in communications without slowing adoption or reducing trust.

This RingCentral white paper outlines how enterprise-grade AI security should be designed for communications environments. It covers why AI changes traditional security models, how to make AI guardrails visible to users and admins, and what controls help protect against risks like prompt injection, retrieval abuse, tool misuse, and cross-tenant leakage.

Key Takeaways

• How AI changes communications security by turning language into an interface
• Why AI boundaries, permissions, and human approvals must be visible to users
• How to strengthen AI resilience through retrieval controls, audit logs, and model governance
• What organizations can do to make AI security explainable, configurable, and auditable

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