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.
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
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
- Authority Before Execution
- Fail-Closed by Default
- Deterministic Receipts
- Verifiable Policy Boundaries
- Explicit Protocol Versioning
Execution is a governed act — not a side effect.
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.
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