Enterprise AI Compliance and Security Audit Platform
Beta AI Compliance Shield
Unified AI audit and supervision platform supporting sensitive information filtering, illegal content interception, operation tracking and compliance reporting.
Background
Large-scale enterprise AI adoption brings risks of data leakage and non-compliant output.
Audit Requirements
Urgently need unified audit and supervision platform ensuring auditability and traceability.
Insufficient Monitoring & Early Warning
Lack of real-time data analysis and anomaly detection capabilities, difficult to identify security risks in advance, reactive response is inefficient.
Solution Content
Entry Control
Connect to internal and external model services and tools, detect and desensitize sensitive information at request entry.
Output Filtering
Filter non-compliant content (political, pornographic, discriminatory, hateful, false promises, etc.) according to enterprise rules, mark suspected violations for audit reporting.
Audit Trail
Encrypted logs and operation traces, generate audit reports by user/department/system; integrate with authentication and authorization systems to control access to sensitive capabilities.
Deployment
Deployed on enterprise intranet, core inference and analysis logic carried by proprietary computing, ensuring data does not leak.
Key Advantages
Let data speak — let results be visible
Full Traceability
All operations encrypted and traceable
Sensitive Data Blocking
99% accuracy in sensitive data detection
Real-time Alerts
Real-time anomaly detection and risk alerts
Security Architecture
Zero-trust architecture with full access control
Technical Capabilities
Deep technical capabilities powering your business
Intelligent Sensitive Data Recognition
NLP-based identification and filtering of personal privacy, trade secrets, financial data and other sensitive information, supporting custom sensitive word libraries and recognition rules with 99% accuracy ensuring data security
Compliance Content Review
Automatically detects and blocks non-compliant content (politically sensitive, pornographic/violent, discriminatory/hateful, false advertising, etc.), supports multi-dimensional compliance rule configuration, suspicious content auto-flagged and reported for audit
Complete Operation Audit
Records complete logs of all AI interactions (requests, responses, users, time, models, etc.), supports encrypted storage and multi-dimensional audit report generation by user/department/system, meeting compliance requirements
Anomaly Detection & Alerts
AI-based abnormal behavior detection, real-time monitoring of user request frequency, content patterns, data access, automatically alerting on anomalies (such as bulk data leaks, malicious prompt injection, etc.)
Target Industries
This solution is designed for the following industries and use cases
Finance
Healthcare
Government
Education
Large-Scale Web Services
High Data Security Enterprises
Implementation Process
Expert-guided implementation ensuring seamless project delivery
Requirements Analysis
Review compliance requirements and sensitive data types
Rule Configuration
Configure sensitive word library and compliance review rules
System Integration
Integrate AI services and authentication/authorization systems
Testing & Validation
Functional, stress, and security testing
Launch & Training
Admin training, official launch, continuous optimization
FAQ
Common questions answered
With large-scale AI adoption in enterprises, three major risks emerge: 1) Data leakage risk: Employees may inadvertently input trade secrets, customer privacy and other sensitive information into AI systems, causing data breaches; 2) Compliance risk: AI-generated content may contain politically sensitive, discriminatory, false advertising and other non-compliant content, leading to legal risks and brand damage; 3) Audit requirements: Highly regulated industries like finance, healthcare, and government require AI use to be auditable and traceable. AI compliance audit platforms can uniformly control all AI interactions, intercept risks in real-time, record logs, and generate compliance reports, serving as infrastructure for enterprise AI security governance.
We use multiple techniques to ensure auditing doesn't affect business: 1) Asynchronous processing: Non-blocking operations like sensitive info detection and log recording executed asynchronously, not affecting response speed; 2) Cache optimization: Common sensitive words and rules preloaded in memory, detection latency below 10ms; 3) Distributed architecture: Audit service can scale horizontally, supporting high concurrency scenarios (10000+ QPS); 4) Streaming interception: For generative AI streaming output, uses edge generation and detection strategy, non-compliant content cut off in real-time; 5) Performance monitoring: Real-time monitoring of audit service performance, bottleneck alerts and auto-scaling. In actual deployments, audit overhead typically adds only 5-15ms latency, negligible impact on user experience.
Platform provides flexible rule configuration: 1) Sensitive word library: Supports importing Excel/CSV format libraries, can be grouped by category (customer privacy, financial data, product codes, etc.), supports regex and fuzzy matching; 2) Compliance rules: Visual rule configuration interface, supports multi-condition combinations (e.g., 'contains political sensitive words + public-facing scenario = high risk'), flexibly defining intercept/mark/release strategies; 3) Whitelist mechanism: Configure whitelists for specific users, departments or scenarios to avoid false interceptions; 4) Continuous optimization: Platform records all detection logs, supports false positive/negative analysis, continuously optimizing rule library; 5) Expert services: We provide industry compliance expert consulting to help enterprises review compliance requirements and configure rules.
Audit log security is a core platform capability: 1) Encrypted storage: All logs encrypted with AES-256, hierarchical key management, only authorized admins can access; 2) Access control: RBAC-based permission management, different roles view different scope logs (e.g., department admins only view department logs), all access traced; 3) Tamper-proof: Uses blockchain or digital signature technology ensuring logs cannot be tampered with, meeting legal evidence requirements; 4) Backup & archiving: Supports automatic backup and long-term archiving, meeting compliance retention requirements (e.g., 3-7 years in finance); 5) Data desensitization: Supports automatic desensitization of sensitive info when exporting audit reports, avoiding secondary leaks.
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