AI SniffGuard:
API Cost & Safety Guardrails

An active middleware proxy layer that sits between your applications and LLM endpoints. SniffGuard handles prompt caching, rate limits, model fallback routing, and real-time PII masking to cut compute costs while ensuring total compliance.

Architecture

Where SniffGuard Sits in Your Stack

By proxying all model queries, SniffGuard filters prompts and optimizes token routing before requesting expensive APIs.

Client App
SniffGuard
LLM APIs
Capabilities

Core Protection & Cost Optimizations

Engineered to audit queries and govern outbound parameters automatically.

Real-Time Audits

Track API tokens consumed, calculate exact endpoint costs in real time, and flag latency bottlenecks dynamically across departments.

Active PII Masking

Automatically identify and redact sensitive customer profiles, social security numbers, and financial keys before prompt submission.

Automatic Caching

Interprets semantic similarity to cache previous model answers locally. Reduces prompt processing fees by up to 40% on repeated queries.

Value Realization

Guaranteed Optimization Metrics

Realized metrics measured across enterprise data platform pilots.

~25%
Cost Reduction

Average infrastructure and API call compute cost reduction measured across production models.

40%
Tokens Saved

Reduction in prompt input tokens accomplished through semantic caching and system message deduplication.

<12
Months Payback

Average payback period to completely amortize implementation expenses based on verified model savings.

We Win When You Win. Not Before.

AI SniffGuard auditing fees are structured entirely as a percentage of your verified API savings. Start with a complimentary token assessment to identify redundancies.

Get Free Token Audit

Consult With Our AI Architects

Accelerate your models, secure your data foundations, and build value-driven platforms.