Make GenAI Risk Visible—and Actionable
This fast paced, interactive workshop helps you define the risk insight measures and operating approach that make GenAI exposures visible, comparable, and actionable across your business. You’ll leave with a practical risk insights plan to detect issues earlier, respond faster, and improve governance confidence over time—so GenAI becomes a governed advantage—not a growing liability.
The Challenge
It can be challenging to manage GenAI risk proactively—because the signals are distributed, fast-moving, and easy to miss:
- Risk data is fragmented across dozens of sources: Signals live in different tools, teams, and logs—making exposure hard to see holistically or monitor consistently.
- Issues surface too late: Without consistent dashboards and anomaly detection, problems are discovered after impact—when response options are limited.
- Governance lacks decision-ready visibility: Risk information isn’t packaged in a way oversight teams can act on quickly and consistently.
Actionable risk insight and mitigation are critical to sustainable GenAI impact.
Our Solution
A structured, hands-on workshop that helps you define a targeted GenAI risk insights plan—so you can detect, communicate, and respond to risk signals with speed and consistency.
- Explore our GenAI Insights Best Practices catalog: Review proven patterns for risk telemetry, anomaly detection, dashboards, and alerting.
- Define your priority risk measures: Select the core indicators that surface emerging exposure across data, model behavior, and real-world usage.
- Define your reporting frequency: Establish an operating cadence for risk insight reviews across delivery teams and governance stakeholders.
- Assign an accountable owner: Clarify who owns risk signal definitions, monitoring, escalation, and response coordination.
- Define actionable next steps: Identify what to instrument, dashboard, automate, and operationalize first to strengthen control at scale.
Area of Focus
- Identifying risk domains in GenAI (data, model, usage)
- Building dashboards to flag anomalies and exposures
- Creating automated response triggers and alerts
- Reporting risk insights to governance teams
- Evolving models with historical and forward-looking risk inputs
Participants Will
- Leave with a defined set of GenAI risk insight measures across data, model, and usage domains.
- Identify a dashboard and anomaly detection approach to surface emerging exposures earlier.
- Define an alerting and response trigger plan to reduce time-to-detection and time-to-mitigation.
- Establish a governance reporting approach that enables faster, more consistent oversight decisions.
- Produce a next-step action plan for what to implement first—monitoring, escalation paths, and operational controls.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 Hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional risk domain map, risk measures worksheet, dashboard/alert design template, and escalation & response checklist