Topsec Large Model Data Security Monitoring System

Product Overview

Topsec Large Model Data Security Monitoring System, based on a hardware infrastructure of multi-core processors and an independent secure operating system, integrates protocol parsing and content recognition technologies to build a full-lifecycle data security risk monitoring system for large models. Focusing on the stages of model preparation, model training, model deployment and model operation, the system leverages built-in security knowledge bases including a compliance feature library, a sensitive data monitoring library and an attack detection library, conducts in-depth parsing of protocols such as network transmission protocols, MCP and A2A, performs multi-dimensional analysis of training corpora, filters non-compliant private data, conducts model evaluation and vulnerability scanning, monitors interactive content in real time, accurately detects attack risks such as prompt injection, and achieves closed-loop monitoring across the entire link of data input, training and deployment, and interactive output, building a solid technical defense for the secure operation of enterprise large models and helping enterprises meet regulatory compliance requirements.

Activity & Announcement

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Advantages

Compliance-Focused Full-Scenario Detection

Centered on compliance, it comes preloaded with a massive library of granular rules covering detection dimensions such as illegal and non-compliant content, sensitive information, and discriminatory content, achieving precise alignment with national regulatory requirements. Combined with a systematic model evaluation question bank, it comprehensively assesses compliance through adversarial testing, bias detection, and other methods. It supports custom rule configuration and integrates technologies including keyword matching and image extraction, catering to both universal and industry-specific compliance needs and avoiding risks in an all-round manner.

Closed-Loop Full-Lifecycle Risk Monitoring

It covers the entire lifecycle of large model training, deployment, interaction, and operation and maintenance. Before launch, it screens training data with a combination of automated testing and manual review; before deployment, it scans models for malicious code; during operation, it dynamically monitors input, output, and API data; during the operation and maintenance phase, it conducts multi-dimensional scanning for component vulnerabilities and API security, forming a watertight closed-loop risk management and control system.

Versatile Deployment for Full-Scenario Adaptation

It supports multiple deployment modes including transparent proxy, forward/reverse proxy, bypass mirroring, and firewall linkage. Adapted to full scenarios such as "user access to large models" and "intelligent agent interaction", it is compatible with both traditional IT architectures and cloud architectures. It flexibly meets the differentiated deployment needs of customers in various industries such as government affairs, finance, and the internet, lowering the threshold for implementation.

High-Precision In-Depth Content Recognition

Equipped with a proprietary deep recognition engine, it integrates multiple algorithms to realize multi-dimensional detection of text and file attributes. It supports multi-language, multi-encoding, and multi-position recognition (including headers and main text), covering all types of data scenarios such as training corpora and transmission data. With accurate and reliable detection capability, it is suitable for complex business requirements.

Applications

Full-Lifecycle Model Data Security Audit Scenario

Through bypass mirroring deployment mode, the system flexibly connects to network nodes, mirrors or distributes large model-related data traffic (including interaction data, API transmission data, etc.) to the system via switch devices, and conducts in-depth security reviews and compliance verification. This deployment method does not require modifying the original network architecture or interfering with the normal transmission of business data. Focusing on the core needs of monitoring and auditing, it achieves full-lifecycle data security auditing for large models while minimizing impact on existing businesses. With simple and efficient network switching, it adapts to the rapid implementation needs of IT architectures in multiple industries such as government, finance, and healthcare.

Solved Problems

Supports continuous operation of large model businesses without modifying existing networks.
Aggregates global model data to achieve comprehensive and non-missed compliance auditing.
Adapts to multi-industry architectures, simplifying deployment processes and reducing implementation costs.

Value to Customers

Compliance Assurance

Aligned with AI-related regulatory requirements, it provides full-lifecycle compliance monitoring and assessment, helps pass regulatory audits, and avoids penalty risks.

Controllable Risks

It defends against large model risks and cyber attacks with four-layer protection covering data, models, applications and networks, reducing security losses.

Efficiency Improvement

It automatically completes scanning, assessment, sorting and alerting, coupled with multi-dimensional reports, to reduce manual intervention and lower management costs.

Business Adaptability

With versatile deployment and full-scenario coverage, it flexibly adapts to business expansion and architecture migration without the need to modify existing infrastructure.

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