Aporia
Aporia was an AI guardrails and observability platform for production LLM and ML applications, known for low-latency guardrails covering hallucination, prompt injection, PII, toxicity, off-topic responses, and custom policies, alongside full ML monitoring for drift and data quality. Coralogix acquired Aporia in late 2024 and the Aporia guardrails technology is now offered as part of the Coralogix AI Observability and AI Guardrails product line, with the standalone Aporia.com experience consolidated into Coralogix's portfolio.
Aporia publishes 4 APIs on the APIs.io network. Tagged areas include AI Guardrails, ML Observability, LLM Monitoring, Coralogix, and Acquired.
Aporia’s developer surface includes engineering blog, documentation, and 5 more developer resources.
APIs
Coralogix AI Guardrails
Coralogix AI Guardrails is the post-acquisition continuation of Aporia's guardrails product, intercepting prompts and responses between applications and LLMs to enforce policies...
Coralogix AI Observability
Coralogix AI Observability combines Aporia's monitoring capabilities with Coralogix's logging and tracing backend to provide end-to-end visibility into LLM and agent application...
Aporia Guardrails (Legacy)
The original Aporia Guardrails product offered millisecond-latency policy enforcement on LLM prompts and responses with a library of pre-built detectors (hallucination, prompt i...
Aporia ML Observability (Legacy)
Aporia ML Observability provided monitoring for classical ML models including drift detection, data quality checks, performance tracking, and custom monitors. Now consolidated i...
Features
Low-latency policy enforcement on LLM prompts and responses with a library of pre-built detectors.
Detect ungrounded or fabricated responses in RAG and general LLM applications.
Identify direct and indirect prompt injection attempts.
Screen prompts and responses for personally identifiable information.
Build organization-specific policies for restricted topics, competitor mentions, and brand-safe responses.
Drift, data quality, performance, and custom monitor support for classical ML.
Native integration with Coralogix observability backend post-acquisition.
Use Cases
Enforce policies on prompts and responses in production GenAI applications.
Block ungrounded responses from retrieval-augmented generation pipelines.
Prevent off-topic, competitor, or off-brand responses from customer-facing LLM apps.
Detect distribution drift in classical ML models in production.
Integrations
Guardrails for OpenAI Chat Completions and Assistants.
Guardrails for Anthropic Claude models.
Guardrails for Azure-hosted OpenAI deployments.
Guardrails for models accessed through AWS Bedrock.
Native integration for LangChain chains and agents.
Integration for LlamaIndex RAG applications.
Native integration with Coralogix logging, tracing, and observability backend.