AI Access Management
Control Who Accesses AI Systems and Data
As AI systems access sensitive data and make consequential decisions, controlling who can train, deploy, and interact with these systems becomes critical. GRAVITI implements access management frameworks designed specifically for enterprise AI environments.
Microsoft Azure
Amazon Web Services
Google Cloud
IBM Cloud
Oracle Cloud- Full flexibility in deployment options. We are not commercial partners of software vendors
Who Is It For
AI access management is for organizations where AI systems access sensitive data or influence decisions that require controlled authorization.
- Security teams extending identity and access management to cover AI platforms and ML infrastructure
- AI platform teams managing multi-tenant environments with varying permission requirements
- Compliance officers who need auditable access controls for regulated AI use cases
- Data governance teams controlling which datasets AI models can access for training and inference
Our Approach to AI Access Management
GRAVITI extends enterprise identity and access management (IAM) principles to AI-specific environments: ML platforms, model registries, training infrastructure, inference endpoints, and AI-powered applications. We implement role-based and attribute-based access controls tailored to the AI lifecycle.
Our engineers design permission models that govern who can access training data, initiate model training, promote models to production, invoke inference endpoints, and view model outputs. Each action is logged with full audit trails that satisfy regulatory and internal governance requirements.
We also implement data access controls for AI systems themselves—governing which datasets a model can access during training, what personal data can flow through inference pipelines, and how model outputs are restricted based on the requesting user's authorization level.
Connecting to systems already in your organization
Our solutions include integration with popular market systems, as well as any additional system as needed
How We Deliver
- AI Asset Inventory: Catalog all AI systems, data stores, and endpoints requiring access governance
- Permission Model Design: Define roles, permissions, and access policies for the AI lifecycle
- IAM Integration: Connect AI access controls with enterprise identity providers and SSO infrastructure
- Audit Logging: Implement comprehensive access logging for all AI system interactions
- Review Workflows: Establish periodic access review and certification processes for AI system permissions
Expected Outcomes
- Granular, role-based access controls across all AI systems and data assets
- Complete audit trail of AI system access for compliance and security investigations
- Reduced risk of unauthorized data access through AI training and inference pipelines
- Automated access provisioning and de-provisioning aligned with employee lifecycle events
Service Model
- Assessment: 2-week AI access audit and permission model design
- Build: 6-10 week access control implementation, IAM integration, and audit logging deployment
- Managed: Ongoing access review support, policy updates, and incident investigation assistance
Frequently Asked Questions
How does this integrate with our existing IAM infrastructure?
We integrate with enterprise identity providers (Okta, Azure AD, Ping Identity) and extend existing RBAC/ABAC frameworks to cover AI-specific resources. The goal is a unified access management approach, not a parallel system for AI.
Can you control what data AI models can access?
Yes. We implement data-level access controls that govern which datasets are available for model training and which data can flow through inference pipelines. These controls are enforced at the infrastructure level, not just the application layer.
How do you handle access for automated AI pipelines?
Automated pipelines use service accounts with scoped permissions following the principle of least privilege. Pipeline credentials are managed through secrets management infrastructure with automatic rotation and usage auditing.
Secure Your AI Systems
AI systems are accessing your most sensitive data. Let GRAVITI implement the access management framework that ensures only authorized users and processes interact with your AI infrastructure.
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