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Enterprise Layer Intelligence
Categories/Cybersecurity/Relyance AI
Relyance AI

Relyance AI

Founded by Abhi Sharma & Leila R. Golchehreh in 2020

Track data flows and enforce runtime guardrails across your artificial intelligence systems

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Relyance AI to track dynamic data flows and enforce security controls across your machine learning systems. It discovers internal models, classifies sensitive information, and maps end-to-end data lineage from source code to production. Relyance Guard sits between your models and external systems to inspect incoming and outgoing actions in real time. This allows you to block sensitive data leaks, prevent data misuse, and enforce corporate governance policies before unauthorized actions execute. It also gives security teams visibility into agent behaviors.

What Relyance AI does

Map end-to-end data lineage across systemsClassify sensitive customer and business dataInspect runtime model queries and responsesBlock prohibited actions initiated by automated agentsGenerate compliance audit reports for data flowsTrack model usage across engineering source repositoriesRuntime guardrail enforcement between models and external resourcesAutomatic discovery of internal models and data servicesReal-time sensitive data classificationEnd-to-end data lineage mapping from source code to modelsPrevention of sensitive data exfiltration and leaksAutomated policy and compliance checksInspection of agent action blueprints before execution

Pricing breakdown

Pricing model: Book a demo

Frequently asked

AWSAWSGoogle CloudGoogle Cloud

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Relyance AI, data security, data posture management, DSPM, AI governance, runtime guardrails, data lineage, data classification, sensitive data protection, compliance monitoring, AI security, data leakage prevention, data flow mapping, real-time data tracking, agent guardrails