Agentic Access Management
Paraview Agent Identity Management secures AI Agents with verifiable digital identities, enabling compliant access control and preventing data leakage.
Key Functions
Dimensional Mirror: Full Lifecycle Management of Agent Intelligent Identity
Goes beyond traditional account management to provide trusted identity identifiers based on SPIFFE standards for internal and externally exposed AI Agents. Achieves closed-loop management from Agent creation and credential injection to high-frequency automated certificate rotation, completely eliminating the risk of hardcoded credentials.
Boundary Hub: Multi-Dimensional Protocol AI Security Gateway (AIG)
Integrates MCP (Model Context Protocol) conversion and API security filtering technologies. Smoothly transforms existing enterprise business APIs into standardized tools callable by Agents via a smart protocol stack, and implements real-time Deep Packet Inspection (DPI) and sensitive content interception at the traffic entry point.
Smart Decision: ABAC + Relationship Grid Fine-Grained Authorization
Introduces the OpenFGA relational meta-model, supporting a composite authorization mode based on attributes (ABAC) and relationships (ReBAC). It can handle complex and dynamic permission requirements in AI workflows, achieving authorization precision down to database fields and file slices.
Semantic Shield: RAG Intelligent Knowledge Base Permission Isolation
Designed specifically for RAG scenarios, it uses an AI-driven data governance engine for automated classification and grading of unstructured documents. During the entire process from user queries and vector retrieval to content generation, it verifies the visitor's permissions on data slices in real time, ensuring highly classified knowledge is "invisible, unsearchable, and unobtainable."
Hidden Shield Vault: Large Model Full-Link Token Safe
Adopts Vault secret management technology to provide full-link automated Token transmission and injection services for AI orchestrated workflows. Sensitive credentials transit only in encrypted memory, completely hidden from the LLM model layer and end users, fundamentally preventing Token theft caused by Prompt injection.
Dimensional Mirror: Full Lifecycle Management of Agent Intelligent Identity
Goes beyond traditional account management to provide trusted identity identifiers based on SPIFFE standards for internal and externally exposed AI Agents. Achieves closed-loop management from Agent creation and credential injection to high-frequency automated certificate rotation, completely eliminating the risk of hardcoded credentials.
Boundary Hub: Multi-Dimensional Protocol AI Security Gateway (AIG)
Integrates MCP (Model Context Protocol) conversion and API security filtering technologies. Smoothly transforms existing enterprise business APIs into standardized tools callable by Agents via a smart protocol stack, and implements real-time Deep Packet Inspection (DPI) and sensitive content interception at the traffic entry point.
Smart Decision: ABAC + Relationship Grid Fine-Grained Authorization
Introduces the OpenFGA relational meta-model, supporting a composite authorization mode based on attributes (ABAC) and relationships (ReBAC). It can handle complex and dynamic permission requirements in AI workflows, achieving authorization precision down to database fields and file slices.
Semantic Shield: RAG Intelligent Knowledge Base Permission Isolation
Designed specifically for RAG scenarios, it uses an AI-driven data governance engine for automated classification and grading of unstructured documents. During the entire process from user queries and vector retrieval to content generation, it verifies the visitor's permissions on data slices in real time, ensuring highly classified knowledge is "invisible, unsearchable, and unobtainable."
Dimensional Mirror: Full Lifecycle Management of Agent Intelligent Identity
Goes beyond traditional account management to provide trusted identity identifiers based on SPIFFE standards for internal and externally exposed AI Agents. Achieves closed-loop management from Agent creation and credential injection to high-frequency automated certificate rotation, completely eliminating the risk of hardcoded credentials.
Boundary Hub: Multi-Dimensional Protocol AI Security Gateway (AIG)
Integrates MCP (Model Context Protocol) conversion and API security filtering technologies. Smoothly transforms existing enterprise business APIs into standardized tools callable by Agents via a smart protocol stack, and implements real-time Deep Packet Inspection (DPI) and sensitive content interception at the traffic entry point.
Smart Decision: ABAC + Relationship Grid Fine-Grained Authorization
Introduces the OpenFGA relational meta-model, supporting a composite authorization mode based on attributes (ABAC) and relationships (ReBAC). It can handle complex and dynamic permission requirements in AI workflows, achieving authorization precision down to database fields and file slices.
Semantic Shield: RAG Intelligent Knowledge Base Permission Isolation
Designed specifically for RAG scenarios, it uses an AI-driven data governance engine for automated classification and grading of unstructured documents. During the entire process from user queries and vector retrieval to content generation, it verifies the visitor's permissions on data slices in real time, ensuring highly classified knowledge is "invisible, unsearchable, and unobtainable."
Hidden Shield Vault: Large Model Full-Link Token Safe
Adopts Vault secret management technology to provide full-link automated Token transmission and injection services for AI orchestrated workflows. Sensitive credentials transit only in encrypted memory, completely hidden from the LLM model layer and end users, fundamentally preventing Token theft caused by Prompt injection.
Collaboration Standard: Agent Operation Human-Machine Closed-Loop Confirmation
Automatically triggers a "human confirmation" workflow for high-risk or sensitive write operations performed by AI Agents (such as modifying financial data or sending external emails). While maintaining AI automation advantages, it introduces necessary governance steps to ensure machine behavior always remains under human supervision.
Product Technology Features
●A "Identity-Permission-Instruction" trinity control model designed specifically for Agent interaction modes, deeply adapting to LLM orchestrated workflows.
●Based on OAuth 2.1 and high-frequency certificate rotation technologies, it supports millisecond-level permission convergence and identity revocation to handle high-speed concurrent requests from AI.
●Seamlessly integrates with localized LLMs, cloud-based large models, and various third-party MCP plugins, possessing strong ecosystem compatibility.
●Provides full-link identity tracking and Agent behavior auditing, transforming complex AI black-box decisions into clear, traceable security charts.
Use Cases
Use Cases
Secure Opening of Enterprise-Class "Agent Office Assistant"
When enterprises open self-service Agents integrating IAM capabilities to employees or partners, the platform ensures Agents can only call internal business APIs within authorized scopes and provides full encryption protection for Tokens used in cross-system calls.
RAG Q&A for Highly Confidential R&D Knowledge Bases
In highly sensitive scenarios like R&D, employees access enterprise documents via RAG. The platform filters out knowledge slices employees lack permissions to access in real time, preventing AI from becoming an "unauthorized extraction machine."
AI-Driven Automated Business Orchestration
When an Agent automatically interacts with financial or HR systems for multi-step operations, the platform intervenes in real time during high-risk steps, ensuring every major provision or permission change undergoes a manual final review through a "human-machine confirmation" mechanism.
Business Benefits
● Building a Zero Trust Defense Line in the AI Era: Unifies the management of the growing number of "non-human" AI identities within enterprises, eliminating identity governance blind spots.
● Accelerating the Compliant Implementation of AI Applications: Rapidly empowers businesses with AI technology under regulatory requirements through automated data classification, grading, and compliance filtering.
● Significantly Reducing Operations Costs: Utilizes the MCP gateway to quickly "AI-enable" legacy systems, achieving secure intelligent upgrades without rewriting code.
● Preventing Intelligent Attack Risks: Blocks new AI security vulnerabilities such as Token leakage and Prompt unauthorized access at the underlying architecture level, safeguarding enterprise digital assets.
Related Case Studies
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