AI risk in connected email and calendar platforms

In AI-enabled communications environments, traditional AI risk categories such as model accuracy and hallucinations are overshadowed by the unique challenges posed by email, calendar, and contact platforms due to their inherent connectivity and trust structures. These platforms introduce a different risk model as AI systems inherit the permissions and connectivity of the accounts they operate through, allowing them to take actions such as sending emails or scheduling meetings that can have significant organizational impacts. The risk is categorized into three layers: data exposure risk, agentic action risk, and supply chain and ecosystem risk. Effective governance involves understanding what AI systems can access, the actions they can perform, and the ecosystem of vendors involved, along with ensuring human oversight and implementing controls like OAuth scope management and anomaly detection. The governance should focus not just on the AI model but also on the surrounding workflow, ensuring that permissions are minimized and incident response measures are in place to manage the complex web of interactions within the communications infrastructure.

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