Starkguard
5.7#37 in ai governance softwareWeb
Visit| Fact | Starkguard | Trusys AI |
|---|---|---|
| Integrations | Enterprise plans list SSO/SAML integration and API access; the site does not name specific identity providers or other third-party integrations. | The maker says SaaS agents connect via API, custom agents via SDK, and coding agents via MCP. |
| Intended users | Starkguard describes its intended users as AI deployers, including DPOs, legal teams, and compliance leads who need self-service governance workflows and audit-ready evidence. | The site identifies AI and ML engineering teams, Chief AI Officers, compliance leaders, CISOs, GRC heads, and platform engineering leads as intended users. |
| Product | Starkguard combines AI Governance, IT Audit, and Business Continuity applications in one workspace with shared members, roles, and an audit log. | Trusys describes itself as an enterprise AI assurance platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. |
| Security | The privacy policy states that data is encrypted in transit with TLS 1.3 and at rest with AES-256, and that access control is role-based. | The maker states that the platform is SOC 2 Type II certified and evaluation data is encrypted at rest and in transit. |
| Support | Plan support response times are listed as 72 hours for Essential, 48 hours for Professional, and 24 hours for Enterprise; contact inquiries are typically answered within 24 hours. | The site advertises 24/7 enterprise support; the Professional plan includes priority support and Enterprise includes dedicated support. |
| Trial | The maker advertises a 14-day free trial; after it ends, an account without a selected paid plan moves to read-only mode. | The site offers a free trial with no credit card required and says users can get started in about 10 minutes. |
You want what its maker publishes above — check its page for the details.
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.