Formal vs Private AI

<p>Formal is a security-focused software tool that acts as a programmable reverse proxy for data and infrastructure access. It parses over 15 wire protocols like Postgres, MySQL, MongoDB, and Kubernetes to enforce query-level security policies such as data masking, access control, and auditing. You deploy Formal inside your VPC, ensuring data never leaves your environment, and it requires no changes to your applications or code. It's designed to support security teams by automating privacy enforcement and compliance needs, useful for enterprises managing databases, BI tools, AI agents, and infrastructure sessions.</p> <p>With Formal, you gain centralized control with short-lived credentials, real-time policy enforcement, and detailed logging for every query and session. The software offers unique features like multi-stage policy evaluation, backtesting policies with historical data, and AI-powered anomaly detection in sessions. This makes it ideal for teams seeking to secure cloud data, automate governance, and meet compliance standards such as HIPAA and GDPR without impacting application performance or development workflows.</p>

<p>Private AI offers cutting-edge software that identifies and anonymizes personally identifiable information (PII) across a wide range of structured and unstructured data types. You can deploy it on-premises or in the cloud, supporting multiple file formats and languages. It ensures compliance with global privacy laws including GDPR, HIPAA, and CPRA, so you can confidently safeguard customer data while extracting valuable insights.</p> <p>With integrations like PrivateGPT, the platform enables you to utilize large language models securely by sharing only non-sensitive data with AI APIs. You get expert-ready workflows for data redaction and anonymization, helping businesses — from startups to Fortune 500 companies — maintain privacy without sacrificing the benefits of generative AI and machine learning technologies.</p>