FAQ from Aporia
What is Aporia?
Aporia is the first unified AI Control Platform delivering real-time, model-agnostic guardrails — enabling organizations to govern, secure, and scale AI with confidence.
How to use Aporia?
Integrate Aporia in minutes via API, proxy, or SDK. Define policies once, enforce everywhere — whether you're running RAG pipelines, agent frameworks, or fine-tuned LLMs in production.
How does Aporia work?
Aporia sits between your application and LLM provider — inspecting every input/output in real time. Using behavioral analytics, rule-based triggers, and ML-powered anomaly detection, it blocks risks before they reach users — all while logging full context for audit and improvement.
What are some key features of Aporia?
From prompt-level injection defense and hallucination scoring to SQL query validation, cost-aware monitoring, and explainable root cause reports — Aporia delivers enterprise-ready control without compromising agility or performance.
What are the use cases of Aporia?
Financial institutions use Aporia to meet regulatory AI assurance requirements. Healthcare providers deploy it to protect PHI. SaaS platforms embed it to ensure brand-safe customer interactions. DevOps teams rely on it to automate AI incident response and model lifecycle governance.
How can I integrate Aporia with my AI models?
Two lightweight integration paths: (1) Route traffic through Aporia’s OpenAI-compatible proxy, or (2) Call Aporia’s REST API directly. No model retraining, no infrastructure overhaul — just plug-and-play AI control.
Does Aporia support different types of AI models?
Yes. Aporia natively supports LLMs (GPT, Claude, LLaMA, Mixtral), tabular ML models (XGBoost, LightGBM), computer vision models (YOLO, ResNet), and multimodal stacks — unifying observability and control across your entire AI stack.
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