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Compliance & Cost Controls
Defensive engineering to protect data and budgets.
Opening LLMs to your userbase is financially and legally dangerous without rigorous controls. We architect platforms where security, PII redaction, and strict compute spending controls are first-class citizens embedded directly in the middleware.
Stop fearing unexpected cloud bills or GDPR violations. Our defensive architecture catches anomalies before text is tokenized, routing expensive workloads only when absolute necessity demands it.
Key Capabilities
- ✓Semantic caching using Redis/Upstash
- ✓LLM firewalling and prompt injection mitigation
- ✓PHI/PII auto-redaction pipelines
- ✓Model fallback networks (Cost-based routing)
- ✓Token quotas and IP rate limiting
TL;DR / Key Takeaways
- →We use smaller open models (Llama-3) for 90% of traffic, saving GPT-4.o for hard edges.
- →Aggressive IP gating and session token tracking protects your margins.
- →Audit logs are maintained for all generation tasks safely.
How It Works
1
StrategyRisk assessment and SLA definitions.
2
BuildImplement token counters, Redis caches, and text filters.
3
DeployPush middleware at the edge to block bad requests early.
4
OptimizeGranular dashboard analysis of token spend per capability.
Use Cases
Healthtech AIZero PHI leakage guarantees post-generation.
High-Traffic ModalitiesCaching frequent queries to reduce 80% redundant spend.
Metrics
0 PHI Leaks38% Less Fraud Pos.
Tech Stack & Tools
Redis CachePresidioGuardrails AIAWS WAF