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AssuranceGrid vs Trusys AI

Trusys AI

7.0#3 in ai governance softwareFrom $69 a month
Free planWebAPISelf-hosted
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What both publish

FactAssuranceGridTrusys AI
DeploymentThe maker says most organizations can get running in a few weeks with pre-built frameworks and guided onboarding, without consultants.Trusys offers a fully managed cloud-hosted service and self-hosted deployment in a customer's data center.
IntegrationsThe maker says built-in evidence connectors for GitHub, Okta, BambooHR, and AWS collect compliance evidence automatically.The maker says SaaS agents connect via API, custom agents via SDK, and coding agents via MCP.
Intended usersAssuranceGrid says it is designed for organizations with small security or compliance teams that need to satisfy customers, auditors, and regulators.The site identifies AI and ML engineering teams, Chief AI Officers, compliance leaders, CISOs, GRC heads, and platform engineering leads as intended users.
ProductAssuranceGrid combines AI governance and enterprise GRC in one system of record.Trusys describes itself as an enterprise AI assurance platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle.
SecurityThe service runs on AWS Fargate behind an Application Load Balancer, with PostgreSQL in an isolated subnet that has no direct internet route.The maker states that the platform is SOC 2 Type II certified and evaluation data is encrypted at rest and in transit.
SupportStarter includes standard support, Growth priority support, and Enterprise dedicated support.The site advertises 24/7 enterprise support; the Professional plan includes priority support and Enterprise includes dedicated support.

AssuranceGrid plans

  • Starter$3,000 a year
  • Growth$12,000 a year
  • EnterprisePriced on request

Trusys AI plans

  • StarterFree
  • Professional$69 a month
  • EnterprisePriced on request

Pick AssuranceGrid if…

You want what its maker publishes above — check its page for the details.

Pick Trusys AI if…

It is aimed at AI and ML engineering teams, CISOs, Chief AI Officers, compliance leaders, GRC teams, and platform engineering leads responsible for production agents. It may suit organizations seeking evaluation and runtime policy controls for AI systems.

Charts they share