{
  "name": "SMERC",
  "full_name": "SMERC | Pre-Execution Recoverability Control",
  "standard_tagline": "Pre-execution recoverability control before automated actions execute.",
  "acronym_expansion": "Structural Momentum Entropy Range Confidence",
  "category": "pre-execution recoverability control",
  "technical_category": "recoverability-aware runtime permission infrastructure",
  "public_language_rule": "Lead with the sharper category language: pre-execution recoverability control for AI agents and high-impact automation. Use recoverability-aware runtime permission infrastructure as the technical implementation layer. Introduce internal layer names such as SPARK, SPARTa, and DLL only after explaining signal intake, recoverability decision, Governance Routing Workbench, and decision lifecycle evidence.",
  "search_categories": [
    "pre-execution recoverability control",
    "AI agent governance",
    "AI agent deployment governance",
    "deploying AI agents safely",
    "AI deployment risk controls",
    "AI agents in production",
    "safe deployment of agentic AI",
    "runtime controls after AI deployment",
    "runtime AI governance",
    "AI agent permissions",
    "AI agent runtime controls",
    "AI tool-call approval",
    "runtime evidence trust gate",
    "ref gate",
    "typed endpoint contracts",
    "object shape validation",
    "OpenAI Agents approval adapter",
    "OpenAI Agents SDK human in the loop",
    "MCP approval callback",
    "agent action checkpoint",
    "SMERC versus AI guardrails",
    "runtime permission layer",
    "recoverability scoring",
    "agent authorization",
    "runtime AI governance",
    "GitHub Actions governance",
    "cloud automation guardrails",
    "cloud admin governance",
    "financial runtime governance",
    "stablecoin governance",
    "treasury automation governance",
    "payment workflow governance",
    "AML KYT evidence integration",
    "wallet screening evidence",
    "Travel Rule evidence",
    "blockchain analytics governance",
    "smart contract risk governance",
    "infrastructure as code governance",
    "Kubernetes governance",
    "IAM change governance",
    "MCP tool governance",
    "Model Context Protocol governance",
    "agent tool call governance",
    "Microsoft Sentinel replay",
    "Microsoft Defender replay",
    "ILION-Bench v2 replay",
    "security automation recoverability",
    "AI automation controls",
    "deployment governance"
  ],
  "one_line_summary": "SMERC, short for Structural Momentum Entropy Range Confidence, is pre-execution recoverability control for AI agents and high-impact automation, implemented as runtime permission infrastructure that applies hard evidence gates before scoring whether technically authorized actions are recoverable enough to execute.",
  "primary_question": "After detection, identity, policy, and evidence admission, is this automated action recoverable enough to execute now?",
  "potential_company_value": {
    "summary": "SMERC is designed to help companies reduce the blast radius of automated actions by scoring recoverability before execution.",
    "value_hypotheses": [
      "safer automation adoption",
      "less blunt allow/block decisions",
      "better replay and audit evidence",
      "response-action blast-radius reduction",
      "AI-agent tool-call governance"
    ],
    "evidence_required": [
      "design-partner shadow-mode data",
      "reviewer agreement",
      "false release rate",
      "false constraint rate",
      "latency impact",
      "customer workflow ownership"
    ],
    "boundary": "Potential value only; no live incident-reduction, outage-prevention, compliance-certification, or customer-validated savings claim yet."
  },
  "postures": ["ALLOW", "THROTTLE", "FREEZE", "DENY", "ESCALATE"],
  "core_signals": [
    "reversibility",
    "containment_strength",
    "rollback_latency",
    "evidence_validity",
    "anomaly_pressure",
    "impact_scope",
    "authorization_confidence",
    "external_side_effects",
    "sensitive_data"
  ],
  "current_status": "Pilot-grade. Ready for technical review and shadow-mode pilot discussion. Not production-certified.",
  "best_current_pilot": "GitHub Actions shadow-mode scoring for AI-assisted code, deployment, and infrastructure workflows.",
  "implemented_surfaces": [
    "Python recoverability engine",
    "REST API",
    "audit and replay path",
    "pilot review queue and metrics",
    "GitHub PR Guardian for AI-assisted pull-request comments and hash-bound review certificates",
    "End-to-end PR Guardian demo connecting runtime decision, PR artifact, Governance Routing Workbench route, Decision Lifecycle Ledger, and DLL Intelligence",
    "GitHub Actions pilot materials",
    "Public pilot intake page and metadata-only pilot intake report generator",
    "Company reviewer front door for general, cloud-admin, financial runtime, and complete lifecycle proof paths",
    "Complete lifecycle proof connecting admission, pause, unlock, permit verification, synthetic execution, and ledger evidence",
    "Cloud automation guardrails for infrastructure-as-code, IAM, Kubernetes, database, deployment, and destructive cloud-resource actions",
    "SMERC-F external financial signal adapter for consuming AML/KYT-, wallet-screening-, fraud-, Travel Rule-, treasury-risk-, reserve-monitoring-, blockchain-analytics-, and smart-contract-risk-style outputs as evidence",
    "MCP-style tool governance adapter and public MCP runtime governance review page",
    "Microsoft-style security replay adapter for Sentinel, Defender, Azure Activity, and advanced-hunting shaped events",
    "ILION-Bench v2 external replay adapter for comparing binary agent-action labels with SMERC recoverability postures",
    "action-bound permits",
    "signed control evidence",
    "Decision Lifecycle Ledger and DLL Intelligence governance memory",
    "GitHub OIDC support",
    "model and agent fitness routing",
    "SMERC Beacon machine-readable discovery manifest",
    "Agent Handshake Protocol and authenticated runtime API for discovery-to-decision agent governance",
    "scoring-invariant verification for recoverability and executor fitness math",
    "configurable domain profiles",
    "Python SDK",
    "JavaScript SDK",
    "Docker and Render deployment material"
    ,
    "Governance Pattern Atlas and credibility partner review packet",
    "CISO 5-minute proof path and GitHub Actions pilot readiness report"
  ],
  "not_claiming": [
    "production certification",
    "incident reduction without live pilot evidence",
    "replacement for IAM",
    "replacement for OPA or policy engines",
    "replacement for AI gateways",
    "replacement for SIEM, EDR, or approval systems",
    "replacement for human accountability"
  ],
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    "CISO",
    "security architect",
    "platform engineer",
    "DevSecOps team",
    "AI governance leader",
    "agent-framework developer",
    "cloud workflow owner",
    "researcher"
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