Hear from our SOC manager and Sr. Data Analyst as they share how we leverage AI security dashboards to monitor AI usage, uncover AI security concerns, and convert this into actionable insights.
Learn how to:
- Monitor AI adoption, uncover risky AI usage, and gauge overall AI risk level using the AI Usage and AI Risk Assessment Dashboards
- Manage risky user and model behaviors using the AI Guardrails Dashboard
- Monitor and control AI app-to-app traffic using the AI Gateway Dashboard
- Monitor MCP usage using the Agentic Broker - MCP Dashboard
For more information, check out our Advanced Analytics forum.
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Check out some customer questions below, or feel free to comment and continue the discussion!
Q: Where can I access this Activity in the AI Apps dashboard within the console?
A: Visibility into user activities can be found in the "Activity in AI Apps" section of the AI Usage Dashboard.
Q: How can Netskope monitor and control the use of unsanctioned AI to protect against sensitive data leakage?
A: The AI Usage Dashboard is a great starting point; it allows you to uncover unsanctioned AI apps, understand the corresponding user activities, and monitor data movement to unsanctioned/non-corp app instances.
Q: How is Netskope helping its customers monitor shadow AI?
A: The AI Usage Dashboard helps with shadow AI hunting by providing visibility into unsanctioned/suspicious AI usage; the AI Risk Assessment Dashboard helps you uncover risky AI apps being used and understand why they are considered risky.
Q: Is this monitoring AI used through apps (e.g., ChatGPT Desktop, etc.) or AI used through browser?
A: The AI Usage Dashboard provides visibility into AI apps and sites accessed through browser.
Q: If we have built a custom internal app (AWS Bedrock), can we classify this as an AI app for these dashboards?
A: Yes, you can assign custom categories to your custom internal apps and then leverage the "Other Category" field in Advanced Analytics Application Events to identify apps with custom categories.
Q: I believe this only can be used if Netskope recognizes the apps/web AI right? Lets say there is new AI that we discovered, can we also manually classify this as well?
A: Yes, by default, the AI Usage Dashboard only returns AI apps recognized by Netskope. If a new AI app is discovered, please send a new app request through "App Catalog" in your Netskope UI.
Q: How do we restrict instance level access to Gen AI apps like Claude, Github Copilot?
A: You can tag your instances as sanctioned/unsanctioned and then configure policies controlling interactions with these instances (e.g., Block Data Downloads to Unsanctioned Instances in Claude).
Q: How do you measure the effectiveness of your AI security controls?
A: The AI Usage Dashboard provides comprehensive visibility into policy actions and user coaching trends, which is a great option to measure your AI security control effectiveness.
Q: How do you balance security vs. the need to innovate and experiment?
A: Deploying coaching policies allows you to gently implement AI usage control without impacting your AI use cases and innovation.
