Independent systems research instituteResearch institute/Est. 20262026
Academic papers, regulatory consultation responses, implementation notes, and system status tracking from AnimusLab.
| Project / paper | Type | Status |
|---|---|---|
| Anchor | Research System | Active Development |
| Canon | Research System | Released v0.1.0 |
| FSB Consultation Response | Regulatory Submission | Submitted |
| RBI Consultation Comments | Regulatory Submission | Submitted |
| ICAIF Paper | Research Paper | Under Preparation |
We present Anchor, a federated governance engine that unifies pre-deployment static code analysis with runtime decision auditability (anchor-audit v6.0.1) under a single cryptographically signed constitution.
This research paper evaluates the performance characteristics of cryptographically verifiable governance pipelines, demonstrating sub-millisecond execution times suitable for high-frequency trading and high-assurance AI agents.
AnimusLab's formal response to the FSB's public consultation on responsible AI adoption in financial services, highlighting the need for deterministic, cryptographically auditable governance systems.
AnimusLab's formal comments on the RBI's draft guidelines for AI model risk management, highlighting AST constraints and decoupled enforcement mechanisms in commercial banking.
How Anchor's C-extension Rust kernel uses memory-mapped buffers (memmap2) and PyO3 ABI3 bindings to eliminate latency overhead in enterprise runtime governance pipelines.
My technical thesis on why post-inference scanning is a systemic failure, and how I built the PolicyEngine to scan code structures at the AST level using Tree-Sitter.
My design decisions regarding user privacy, explaining why I built a decoupled three-tier persistence topology that keeps raw code assets off central servers.
An explanation of the Sovereign Relay Protocol and how I designed temporal ledger synchronization to allow regulators to audit localized spokes securely.