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Korzent Labs

Governance-first execution infrastructure for AI systems.

Korzent Labs builds deterministic, policy-bound execution layers that ensure AI systems operate within explicit authority constraints — before execution occurs.

We believe intelligence without governance is incomplete.


🧭 What We Build

⚖️ Korzent

Runtime governance layer for AI systems.

  • Deterministic execution boundaries
  • Policy packs defining allowed actions
  • Cryptographically verifiable receipts (ALLOW and DENY)
  • Fail-closed enforcement model
  • Schema-bound protocol with strict verification

Repository: https://github.com/KorzentLabs/korzent


🚦 Action Gateway

Governed execution boundary for real-world actions.

  • Authority-before-execution enforcement
  • Deterministic wallet / action control
  • Receipt issuance for all decisions
  • Protocol pinning + schema hash verification
  • Versioned policy enforcement

Repository: https://github.com/KorzentLabs/action-gateway


🔐 Core Principles

  • Authority Before Execution
  • Fail-Closed by Default
  • Deterministic Receipts
  • Verifiable Policy Boundaries
  • Explicit Protocol Versioning

Execution is a governed act — not a side effect.


🧠 Why This Matters

As AI systems gain the ability to:

  • Execute shell commands
  • Access databases
  • Trigger financial transactions
  • Operate autonomous workflows

The problem is no longer intelligence.

The problem is control.

Korzent Labs builds the infrastructure layer that ensures AI systems act within defined, auditable, and enforceable constraints.


🌐 Vision

We see a future where:

  • AI systems cannot execute without policy proof
  • Governance is embedded in runtime
  • Receipts are cryptographically verifiable
  • Authority is explicit, not implied

Governance must live in the execution path.


© Korzent Labs

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  2. .github .github Public

    Organization profile and governance overview for Korzent Labs.

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