Features - Mirror Engine

Drift Index v2

Multi-Vector Drift Detection

Traditional monitoring catches catastrophic failures. Drift Index catches everything else — the gradual shifts that erode trust over time.

Our multi-vector approach analyzes three distinct drift dimensions simultaneously:

Semantic Drift — Changes in meaning and accuracy over time
Tonal Drift — Shifts in voice, personality, and interaction style
Contextual Drift — Loss of relevant context and conversation state

Real-Time

Continuous monitoring with sub-second detection latency

Consistent

Same voice, same persona, every interaction

Voice Lock

Identity Preservation

Users expect consistency. When your AI shifts personality mid-conversation or sounds different across sessions, trust erodes immediately.

Voice Lock maintains:

✓ Consistent tone and communication style
✓ Stable personality traits across all interactions
✓ Predictable response patterns
✓ Brand-aligned communication

Session Memory Seal

Context Persistence

Context windows expire. Sessions time out. Users leave and return. Without proper state management, every return feels like starting over.

Session Memory Seal ensures:

✓ Full conversation history preserved
✓ User preferences retained across sessions
✓ No cold starts or context re-establishment
✓ Seamless continuity for long-running workflows

Zero

Cold starts eliminated. Context never lost.

F752 Governance Extension

Purpose-built for classified and regulated environments requiring formal governance protocols.

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Audit Trail

Complete logging of all AI decisions, inputs, outputs, and governance interventions for compliance review.

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Policy Enforcement

Runtime policy checks ensure AI behavior remains within defined boundaries at all times.

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Consent Protocols

Formal consent verification for sensitive operations with full documentation.

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Override Controls

Structured override request flow with authorization requirements and audit logging.

Technical Architecture

How Mirror Engine integrates with your existing AI infrastructure.

Model-Agnostic Layer

Mirror Engine operates as a governance layer between your application and any LLM. Swap models without changing governance. Maintain consistent behavior across GPT, Claude, Gemini, Grok, or sovereign models.

Real-Time Processing

Sub-second latency governance checks. Drift detection, voice lock verification, and policy enforcement happen in the request pipeline without adding noticeable delay.

API Integration

RESTful API for seamless integration. Drop-in replacement for direct LLM calls. SDKs available for Python, JavaScript, and enterprise platforms.

Deployment Flexibility

Cloud-hosted, on-premises, or air-gapped deployment options. Your governance runs where your security requirements demand.

The Integrity Stack