Project Meridian
As organizations adopt AI systems and agents, they need to know what exists, what data it touches, and whether it meets baseline security and governance expectations. This product provides that inventory and assessment layer.
Product status
- Concept
- Prototype
- MVP
- Pilot
- Beta
- Production
- Scale
Problem
Organizations are adopting AI systems faster than they can govern them, creating unclear accountability for model and data security.
Why this problem matters
Ungoverned AI usage can expose sensitive data and create compliance exposure as AI-specific regulation matures.
Solution
An inventory and assessment layer that catalogs AI systems in use, evaluates them against configurable governance policies, and tracks remediation over time.
Core capabilities
- AI system inventory
- Configurable governance policies
- Remediation tracking
Architecture
A policy evaluation layer checks registered AI systems against configurable rules, backed by an inventory service that tracks systems, data flows and ownership.
How it works
- 1Register AI systems and agents in use across the organization.
- 2Define governance policies covering data handling, access and provenance.
- 3The platform evaluates registered systems against policy and flags gaps.
- 4Owners track and close remediation items over time.
AI capabilities
- AI system inventory
- Policy-based governance evaluation
Security model
- • Role-based access to inventory and policy data
Designed to align with emerging AI risk management frameworks; no certifications held
Integrations
- • Planned: SSO and API-gateway telemetry connectors
Deployment models
Target customers
- • CISOs and security architecture teams
- • AI platform teams
- • Regulated enterprises adopting AI
Business model
To be determined; likely seat- or system-based SaaS pricing.
Differentiators
- • Purpose-built for AI-specific governance risk rather than adapting generic GRC tooling.
Evidence
Architecture & documentation
Concept brief
ConfidentialTraction
Stage
Concept
Roadmap
now
Inventory data model
Core schema for registering AI systems and data flows.
next
Policy engine
Configurable governance policy evaluation.
later
Automated discovery
Detect AI usage from network and API telemetry rather than manual registration.
Team capability
Investor relevance
Positions the company early in an AI governance category expected to grow alongside AI adoption and regulation.