AI Data Gatekeeping
Sensitive Data Is Being Exposed to AI Tools
Employees may unknowingly share sensitive data with AI systems, creating long-term data exposure risks.
No Visibility Into AI Usage and Data Flow
Security teams lack visibility into which AI tools are being used and what data is being shared.
Legacy Controls Break AI Workflows
Blocking tools slows innovation, while traditional DLP lacks the context to understand how data is used in AI interactions.
AI Path Discovery
Matters detects every AI service sanctioned or shadow, currently interacting with your corporate data or being used by employees.
Input/Output Analysis
Our agent analyzes prompts for PII, secrets, or IP before they reach the AI provider, assessing the risk in real-time.
Agentic Redaction
Matters uniquely sanitizes data in-flight, replacing sensitive information with secure tokens so the AI stays useful but the data stays in your control.
Real-Time AI Audit
Continuous monitoring of all AI interactions ensures that usage aligns with corporate safety and ethics policies.
The Matters Standard
Currently securing GenAI deployments for industry leaders in biotech, ensuring research IP never leaves the internal perimeter.
