Model Governance

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Model Governance — The Right Model for Every Task

Cogniforce’s LLM Matrix governs how requests are evaluated and routed across multiple foundation models—OpenAI GPT, Claude 3, Gemini 2.5 Pro, and Mistral 8x22B—to deliver reliable results with control, transparency, and compliance.

How it works (plain language)

  1. Understands the request
    The system classifies intent (drafting, analysis, extraction, summarization) and sensitivity.

  2. Applies policy
    Jurisdiction, data-handling rules, and business constraints (e.g., EU-only processing, zero-retention requirements) are checked.

  3. Selects the best model
    The Matrix routes to the model that best fits the task profile and policy—balancing quality, latency, cost, and risk.

  4. Executes with safeguards
    Prompt Sanitization runs upstream; model calls operate under zero data retention agreements. Guardrails and content filters apply.

  5. Explains the decision
    Each response is tagged with model used, policy route, latency, and citations; events are logged for audit.

Controls for security & engineering leaders

  • Routing policies: Task-based rules for model selection (quality/latency/cost), region pinning, and fallback order.

  • Provider allowlists: Restrict to approved models/versions (e.g., GPT variant X only, Claude 3 only).

  • Data boundaries: Enforce EU-hosted processing, zero-retention execution, and redaction requirements.

  • Guardrails & moderation: Policy blocks, category filters, maximum context/output limits.

  • Quotas & budgets: Per team/project limits with alerts; cost and token usage observability.

  • Full auditability: Immutable logs capturing route rationale, model/version, timestamps, token use, and outcome status.

Why it matters

For Business Stakeholders

For Security & Tech Leaders

Consistent, high-quality outputs by matching tasks to the best model.

Enforceable controls over where and how models run (region, retention, allowlists).

Faster responses and lower operational load.

Transparent routing with verifiable logs for audits and incident reviews.

Predictable costs through policy-driven selection.

Reduced risk via Prompt Sanitization, guardrails, and EU-only processing options.

Result: A governed, explainable orchestration layer that turns a diverse model stack—OpenAI GPT, Claude 3, Gemini 2.5 Pro, Mistral 8x22B—into one reliable system aligned with enterprise policy, performance targets, and compliance obligations.

Prompt Sanitization ›