Overview
BRINGING AI TO SENSITIVE WORKFLOWS
Customer records, employee information, contracts, and billing data can make AI more useful, but they may contain values organizations do not want exposed to a model. DMI Q Lock (Q Lock) applies consistent protection between supported applications and AI models while users remain in familiar tools.
Business Benefits
USE MORE BUSINESS DATA
Apply AI to sensitive workflows while controlling detected private values.
PRESERVE USEFUL CONTEXT
Protect values without stripping away the context AI needs.
REDUCE APP-LEVEL CONTROLS
Avoid building separate protection logic for every workflow.
MAINTAIN MODEL CHOICE
Support approved cloud, on-premises, and local models.
KEEP FAMILIAR TOOLS
Protect interactions without adding manual masking steps.
CENTRALIZE GOVERNANCE
Apply policies consistently through a shared, customer-controlled layer.
FEATURES
CONTEXT-PRESERVING PROTECTION
Replace detected values with consistent, request-specific tokens so AI can retain useful relationships and context.
POLICY-BASED RESTORATION
Restore eligible values before results return, while keeping designated identifiers removed.
BROAD DATA DETECTION
Detect supported personal, financial, account, access-key, and configured identifiers.
CUSTOM POLICIES
Configure models, protection categories, and masking rules by team or workflow.
MODERN AI WORKFLOWS
Protect supported files, structured data, streaming, tool calls, agents, and MCP workflows.
GOVERNANCE AND MODEL CONNECTIONS
Review protected interactions and connect supported cloud, on-premises, and local models.
Model
Insights
