Your employees are using AI tools you don't control — exposing sensitive data through prompts, uploads, and retrieval pipelines. Most security teams have no visibility.
Take the AssessmentShadow AI is not shadow IT. It is AI usage that bypasses security review — and creates a new category of data exfiltration risk.
Unapproved software installed on company devices. Detectable through endpoint management and network monitoring.
Sensitive data sent to external AI models through prompts, uploaded documents, and RAG-retrieved context — often through approved tools, with no detection layer.
How data leaves your organization
Sensitive Data
PII, IP, credentials
Employee Prompt
Unreviewed input
External AI Model
No org controls
Security leaders are reporting growing exposure across three critical dimensions.
Sensitive data — PII, source code, financial records — shared with external models through prompts and file uploads.
Unmonitored AI usage creates gaps in GDPR, SOC 2, HIPAA, and sector-specific regulatory obligations.
No logs, no trail. Security teams cannot answer what data was sent to which model, by whom, or when.
Traditional security controls were not designed for dynamic, prompt-based AI interactions.
Pattern-matching on structured data formats. Cannot inspect free-form prompts or understand contextual sensitivity in natural language.
Controls who can access a tool — not what data is sent through it. Approved tools become unmonitored exfiltration channels.
The gap: No existing tool inspects AI interactions at the content layer — where the actual risk lives.
Trussed sits between your users and AI models — enforcing policy before data reaches any provider.
Trussed Control Plane
Every prompt and response is analyzed for sensitive content before reaching external models.
Configurable rules block, redact, or flag interactions based on data classification and compliance requirements.
Complete logs of every AI interaction — who sent what, to which model, and what was returned.
Take the AI Governance Readiness Assessment to identify gaps in your AI security posture.
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