Conleash uses a risk lattice, policy engine, and refinement loop to deliver scoped, consent-driven authorization for MCP tool calls, reaching 98.2% accuracy and 99.4% escalation catch rate on 984 traces with 8.2 ms overhead and higher user preference in a 16-person study.
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A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.
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Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization
Conleash uses a risk lattice, policy engine, and refinement loop to deliver scoped, consent-driven authorization for MCP tool calls, reaching 98.2% accuracy and 99.4% escalation catch rate on 984 traces with 8.2 ms overhead and higher user preference in a 16-person study.
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A Systematic Review of User Experiments Measuring the Effects of Dark Patterns
A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.