Whitepaper: Bauxite Intercept
Secure LLM Governance & Resource Isolation
1. Executive Summary
As enterprises scale Large Language Model (LLM) adoption, they face a critical governance gap: how to protect sensitive data and control costs without introducing massive architectural complexity.
Bauxite Intercept provides a high-performance, deterministic interception layer that performs real-time streaming PII redaction and active financial governance. By combining a zero-latency deterministic path with a deep semantic inspection engine, Bauxite ensures that PII never leaves the organizational perimeter while tracking the environmental (ESG) and financial impact of every prompt.
2. Hybrid Persistence: The Vault Architecture
Bauxite moves beyond simple “stateless” proxying by introducing a tiered persistence model that balances speed with auditability.
2.1 Volatile Context (Open Core)
In the free tier, PII mappings live strictly in-memory. Data is structurally incapable of persisting beyond the request lifecycle. This mode is optimized for local development and high-throughput, low-sensitivity workflows.
2.2 Encrypted Zero-Trust Persistence (Shield/Fortress)
For production governance, Bauxite utilizes an Encrypted SQLite Vault. This enables:
- Context-Preserving Anonymization: Mapping
[email protected]to[PERSON_1]across multi-turn conversations. - Persistent Audit Trails: Recording every redaction event for HIPAA, SOC2, and GDPR compliance without storing the PII itself.
- ROI Tracking: Calculating cost deltas when Smart Routing redirects simple queries to smaller, cheaper models.
3. Resource Isolation: The Straitjacket
Most modern AI infrastructure treats memory as elastic. Bauxite treats it as a hard security boundary.
3.1 Deterministic Memory Ceiling
Bauxite enforces a strict 20MB memory limit (configurable) for the redaction engine. If a request would cause the engine to exceed this heap limit, it is rejected immediately with 507 Insufficient Storage. This prevents “runaway” data collection and protects against memory-based side-channel leaks.
3.2 Sandboxed Extensibility (WASM)
Custom redaction logic for proprietary enterprise data is executed via WebAssembly (WASM). This provides native-speed performance in a secure, isolated sandbox, preventing custom code from compromising the core proxy’s stability.
4. Technical Characteristics
| Property | Implementation | Outcome |
|---|---|---|
| Runtime | Go (CGO-Free) | Static, portable binary |
| Isolation | WASM / sync.Pool | Secure, zero-dependency sandboxing |
| Persistence | Encrypted SQLite (AES-GCM) | Compliant, encrypted audit trails |
| Networking | Optional mTLS | Identity-based Zero-Trust access |
| Observability | Prometheus / TUI | Real-time financial and risk metrics |
5. Compliance & ROI Models
5.1 The Insurance Model (Risk Mitigation)
Bauxite quantifies the “Insurance Value” of the proxy by tracking every prevented PII leak. Enterprises can precisely report to auditors that 10,000+ sensitive data points were mitigated over a 30-day window.
5.2 The Token Optimizer (Financial Governance)
Smart Routing enables Bauxite to identify simple, low-complexity prompts and route them to local SLMs or “mini” cloud models. The ROI is calculated in real-time as the delta between the original model cost and the actual optimized cost.
6. Conclusion
Bauxite Intercept enforces security through constraints, not expansion. By sitting at the network boundary and applying deterministic resource limits and cryptographic identity, it turns a potential liability (LLM traffic) into a governed, sustainable, and auditable enterprise asset.