AI Visibility / Shadow AI Compliance
Operational Visibility for AI Usage and Shadow AI Risk
Governance teams need to see how AI is actually being used in the environment. Signal Fabric extracts that visibility directly from live network telemetry.
Problem & Structural Gap
AI Usage Is Happening Faster Than Governance Can See It
Sanctioned and unsanctioned AI services, model interactions and sensitive-data movement are largely invisible to log-based stacks. Policy cannot govern what the SOC cannot see.
What Changes with Signal Fabric
AI Activity Surfaced as Decision-Grade, Structured Signal
Signal Fabric identifies AI service interactions, classifies model usage patterns and exposes sensitive-data movement — without proxies, agents or browser plug-ins.
AI Service Discovery
Sanctioned and shadow AI usage surfaced from live traffic.
Model Interaction Visibility
Structured telemetry on inbound and outbound AI flows.
Sensitive-Data Movement
See where regulated data is moving toward AI endpoints.
Passive, Agentless
No browser plug-ins, no endpoint dependencies.
Evidence for Governance
Retained, explainable records for audit and policy.
Stack-Compatible
Output enriches existing SIEM, DLP and GRC workflows.
Expected Outcome
Governance That Reflects What Is Actually Happening
Risk, compliance and security teams operate from network truth — enabling enforceable AI policy, defensible audit and earlier intervention on shadow AI risk.
Economic Impact
Lower Cost of AI Governance
Avoid bolting on point tools per AI service. Use the upstream signal layer already in place to cover sanctioned and shadow AI together.
Competitive Positioning
The Visibility Layer for AI Governance
Streaming Defense gives governance programs the operational evidence they need to manage AI risk in real environments.
Discuss Your Environment
Walk through Signal Fabric with our team.