🎉 AI Engineers: Aporia's 2024 Benchmark Report and mutiSLM has been released. View the report here>>

Compliance & Security

Compliance & Security

Comply with all existing and future regulation, and ensure your AI and its data is secure, robust, and reliable.

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Your Data Stays Yours

Gain peace of mind knowing your sensitive data never leaves your cloud environment. Aporia ensures your models are secure against both external and internal vulnerabilities, helping your organization meet the highest security and privacy standards.

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Achieve Regulatory Compliance

Ensure regulatory compliance by actively monitoring model biases and maintaining data integrity at scale.

Leverage comprehensive alert systems, custom dashboards, and explainability tools to uphold transparency, accountability, and adherence to regulatory standards in data handling and model performance

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Robust and Reliable AI

Get to the Root Cause

Use Aporia to maintain robustness and reliability in your AI systems by rigorously testing them and preparing them to handle unexpected situations or data without failure. Implement thorough contingency plans to safeguard against potential issues.

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Deliver Secure & Reliable AI Agents


Look what our customers have to say about us

“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”

Felix D.

Principal, MLOps & Data Engineering

“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it."

Orr Shilon

ML Engineering Team Lead

“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”

Aviram Cohen


“With Aporia's customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”

Guy Fighel

General Manager AIOps

“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”

Daniel Sirota

Co-Founder | VP R&D

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