Validate, secure, and continuously monitor every model to ship trusted AI.
As AI moves into production, most teams lack real-time insight into model deployment, data governance, and control enforcement. Shadow AI, misconfigurations, and untested updates make assurance elusive — leaving organizations exposed to risk and audit delays.
Starseer validates models and datasets before and after release. It inventories every AI asset, enforces enterprise policies, tests security posture, and keeps a continuous record that maps to frameworks like NIST AI RMF, EU AI Act, ISO, and OWASP AI Top 10.
Build a live AI Census by integrating with Splunk, Elastic, Microsoft, Gravwell, and your repos. Surface approved and unapproved services, downloaded models, datasets, and workflows
Define enterprise guardrails once and enforce everywhere. Validate models and datasets against usage, privacy, safety, residency, access, and retention policies.
⊙ Automated AI red teaming and posture assessments
⊙ Model hardening and dynamic remediation
⊙ Runtime protections and prompt guardrails
Broker access to internal and external AI services. Enforce who can use what, apply guardrails at the edge, and centralize usage and spend.
Build trust baseline with AI Census and Discovery.
Starseer offers model-agnostic visibility and actionable controls across the entire AI ecosystem.