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Enterprise Agentic AI Governance

Least privilege, human oversight, grounding, and emergency shutdown for autonomous agents.

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What this package does

A cross-industry agentic AI baseline aligned with NIST AI RMF and OWASP agentic application guidance.

Designed for

  • AI platform teams
  • Security teams
  • Risk and compliance

What's included

  • Approved models and tools
  • Irreversible-action approval
  • Sensitive-data and tenant isolation
  • Grounding, disclosure, and kill switch

Controls in this bundle

ControlActionParameters
approved_model_providerblockallowed_providers=["openai"], allowed_models=[]
agent_tool_allowlistblockallowed_tools=["read"]
irreversible_action_approvalreview—
sensitive_data_egressblock—
cross_tenant_leakageblock—
required_groundingreviewminimum_citations=1
required_ai_disclosurereview—
high_impact_human_oversightreview—
incident_kill_switchblock—
prohibited_use_caseblockprohibited_use_cases=["social_scoring","emotion_inference_employment"]
agent_spend_limitreviewmax_spend_usd=100
required_human_escalationreviewminimum_confidence=0.8
model_version_approvalblock—
predeployment_evaluation_gateblockrequired_evaluations=["security","adversarial"]
immutable_logflagretention_days=2555

Profile tiers

Switch profiles in Studio to retune default thresholds across the whole bundle without rewriting any control by hand. This package ships at enterprise — anything you've already tightened by hand is preserved on switch.

Every control in this package uses identical parameters across all four profiles. Switching profile in Studio has no effect here.

Attestation

The canonical hash of these bundle bytes is sha256:0f86b1e0ee02bd5308aba2047276e869dcabe28e8ff3ea8d0162cc4a9a7580db. The same hash is computed at lock time, at Stripe checkout, and again on the runtime side before any byte is honored.

Want to customize first? Opening this package in Studio prefills the canvas with the 15 controls above. You can add, remove, or retune any of them before you lock the hash and pay.

Open in Studio
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DataVibe is AI output governance infrastructure — the layer between AI systems and business operations. Runtime policy gates, human oversight, immutable evidence, public certification, and Enterprise Shield indemnification for valid claims.

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