Cybersecurity
Security Threat Detection, Enrichment & Triage
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View ApplicationCybersecurity · App Design
Enterprise AI Usage & Sensitive Data Security Governance
Discovers AI usage/data movement, applies security policies, evaluates exceptions and coordinates controls.
Built for: CISO
End-to-end workflow
How the work moves from signal to outcome.
Stages come from the reference scenario for this application. Each is tagged by who performs it: agent reasoning, governed automation, or human control.
- 01
Employee connects GenAI app to confidential SharePoint data
Governed automation
- 02
Agent detects permission path
Agent reasoning
- 03
Evaluates policy
Agent reasoning
- 04
Revokes risky connection and opens review
Human control
- Every step is logged; exceptions route to the responsible owner.
Enterprise systems
Data sources used in the reference workflow. Integration approach, authentication and permitted actions are assessed for each deployment.
- Microsoft PurviewEnterprise connectivity tailored to your environment
- Microsoft Defender for Cloud AppsEnterprise connectivity tailored to your environment
- Microsoft Entra IDEnterprise connectivity tailored to your environment
- Microsoft 365Enterprise connectivity tailored to your environment
- NetskopeEnterprise connectivity tailored to your environment
- OpenAI Enterprise Admin APIsEnterprise connectivity tailored to your environment
Business value and KPIs
Measures to baseline before a pilot and track afterwards. Fynite does not publish projected results for this application.
Shadow-AI reduction
policy violations
compliance effort
Security and governance
- Define which roles can view, approve and change records — typically owned by the CISO organisation.
- Set approval checkpoints for consequential actions in this workflow before enabling automation.
- Restrict agent actions to an approved list per connected system, using least-privilege credentials.
- Retain an audit trail of evidence, decisions and actions; route exceptions to named owners.
Specific platform controls are confirmed against Fynite's security documentation during evaluation.
Implementation considerations
- Access to Microsoft Purview, Microsoft Defender for Cloud Apps, Microsoft Entra ID with an agreed data scope.
- Business rules and thresholds behind each stage, validated with process owners.
- Baseline values for Shadow-AI reduction and policy violations.
- Test cases covering normal, incomplete-data and exception paths before production.
Questions
About Enterprise AI Usage & Sensitive Data Security Governance.
Discovers AI usage/data movement, applies security policies, evaluates exceptions and coordinates controls. In the reference scenario: Employee connects GenAI app to confidential SharePoint data → agent detects permission path → evaluates policy → revokes risky connection and opens review.
Have another question? Use the assistant in the corner of this page — it knows this application's details.
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Your next business initiative shouldn't take another year.
Start from an existing enterprise application or bring your own requirements. See how Fynite can connect your systems, deploy reasoning agents, and turn complex work into governed execution.