AI Access Management
Key Functions
Identity Governance
Establish a next-generation intelligent organizational framework to manage the lifecycle of digital identities (AI Agents), including account and secret management, fine-grained access control, and interaction between non-human and human identities.
Security Control
Implement efficient security control through behavior monitoring, data flow control, and dynamic access governance mechanisms.
Authorization
Enable effective access management with features such as AI agent access control, context-aware authorization, and prompts authorization.
Identity Governance
Establish a next-generation intelligent organizational framework to manage the lifecycle of digital identities (AI Agents), including account and secret management, fine-grained access control, and interaction between non-human and human identities.
Security Control
Implement efficient security control through behavior monitoring, data flow control, and dynamic access governance mechanisms.
Authorization
Enable effective access management with features such as AI agent access control, context-aware authorization, and prompts authorization.
Identity Governance
Establish a next-generation intelligent organizational framework to manage the lifecycle of digital identities (AI Agents), including account and secret management, fine-grained access control, and interaction between non-human and human identities.
Security Control
Implement efficient security control through behavior monitoring, data flow control, and dynamic access governance mechanisms.
Authorization
Enable effective access management with features such as AI agent access control, context-aware authorization, and prompts authorization.
Product Technology Features
Define access policies based on user attributes and provide full auditing and monitoring capabilities throughout the policy execution process.
A decision engine embedded within proxy agents that evaluates user access requests in real time using identity tokens and policy definition languages.
Deploy diverse agents across RAG pipelines, database connectors, and MCP API callers. These agents interface with the decision engine to filter access requests from users or AI agents.
Use Cases
Use Cases
RAG & MCP Data Access Control
Paraview’s RAG Intelligent Access Control solution integrates trusted identity verification, dynamic policy enforcement, and multi-level data filtering. It enables precise user-permission-data mapping and ensures secure access through RAG-specific policy slicing. Paraview’s MCP data protection solution establishes a full-chain framework of “Identity Authentication – Dynamic Authorization – Data-Level Governance.” It includes unified user login, JWT token verification, dynamic interception via MCP filters, and fine-grained access control at the table/column level to safeguard data security.
Intelligent Decision Auditing Loop
AIAM enables secure third-party AI ecosystem access via time-bound JWT tokens with scope restrictions. Real-time logging and NLP-based compliance reports align with data protection regulations. Reverse permission checks and behavioral analytics ensure traceability. A dynamic policy engine with ABAC integration supports a closed-loop compliance framework—from external access to internal decision-making.
Dynamic Data Governance
AIAM delivers full-spectrum protection—from identity authentication and access decisions to complete data lifecycle governance. Trusted identities and JWT-based dynamic authorization ensure secure access. ABAC plugins filter unauthorized data during RAG, while data masking removes sensitive content at generation. Execution is secured through async approvals and cross-system token mapping. Real-time monitoring triggers index rebuilds and cache invalidation, closing the loop on data governance and minimizing leakage or contamination risks.
AI Agent Security Defense
AIAM manages hybrid identities (digital employees and AI agents) across their lifecycle, adapting access boundaries through organizational mapping, trusted labels, and RBAC/ABAC policies. On task activation, AI agents are assigned dynamic permission tags. Contextual anomaly detection (e.g., IP, frequency) enables real-time access freezing. End-to-end auditing ensures transparency, preventing data misuse and enabling secure, trusted human-AI collaboration.
Business Benefits
Trusted Identity
By unifying identity directories and adopting multimodal authentication technologies, the platform establishes a trusted identity profile for all roles and scenarios in AI development, effectively eliminating the risks associated with anonymous access.
Dynamic Access Control
A context-aware ABAC (Attribute-Based Access Control) policy engine enables on-demand, dynamic granting and revocation of access rights, ensuring minimal exposure of sensitive data and AI models.
Data Protection
With secure access controls and dynamic authorization mechanisms, the platform provides end-to-end encryption across the entire data lifecycle—including display, transmission, and usage—safeguarding against internal and external threats.
Comprehensive Governance
Extending across hybrid cloud, edge devices, and containerized environments, the platform unifies the management of identities for users, devices, and applications within the AI ecosystem, closing visibility and control gaps.
Compliance Assurance
Automated audit logging and intelligent report generation help fulfill regulatory requirements, delivering a complete compliance enforcement loop.
Related Case Studies
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