Introduction
As AI agents become more autonomous, ensuring they operate within defined policy boundaries becomes critical. This post explores how Weilliptic enforces policies at the infrastructure level, providing guarantees that traditional systems cannot.
The Policy Problem
Traditional AI systems face policy enforcement challenges:
- Reactive Enforcement: Policies checked after actions are taken
- Bypassable: Agents can potentially circumvent checks
- Opaque: Difficult to verify policy compliance
- Fragile: Policy violations may go undetected
Infrastructure-Level Enforcement
Weilchain enforces policies at the infrastructure level:
- Proactive: Policies checked before actions execute
- Unbypassable: Enforcement is built into the execution layer
- Transparent: All policy checks are visible and auditable
- Reliable: Cryptographic guarantees of compliance
Key Mechanisms
Policy Applets: Policies encoded as verifiable WASM applets that execute before agent actions.
Pre-Execution Checks: Every action is validated against policies before execution.
Immutable Logging: All policy decisions are permanently recorded.
Compliance Proofs: Cryptographic proofs of policy compliance.
Technical Implementation
The system uses:
- WASM Sandboxing: Isolated execution environment for policy checks
- Cryptographic Signatures: Every policy decision is signed
- On-Chain Storage: Policies stored immutably on-chain
- Real-Time Validation: Policies checked in real-time during execution
Benefits
- Guarantees: Cryptographic guarantees of policy compliance
- Transparency: All policy decisions are visible
- Auditability: Complete audit trail of policy enforcement
- Flexibility: Policies can be updated while maintaining auditability
Use Cases
- Financial Services: Enforce trading limits and risk policies
- Healthcare: Ensure HIPAA compliance automatically
- Enterprise: Enforce data access and usage policies
- Regulatory: Meet compliance requirements with provable enforcement
Conclusion
By enforcing policies at the infrastructure level, Weilliptic provides guarantees that traditional systems cannot match, enabling trustworthy autonomous AI systems.