MetaDefender® Platform Guardrails for LLMs
Secure files, content, and data before they reach your LLM. Stop file level threats, reduce RAG poisoning risk, enforce one-way transfer, and protect your AI investment.
- Prevention First Security
- 深度文件消毒
- Hardware Enforced Isolation
OPSWAT 得到以下机构的信任
The New AI Attack Surface
File-Borne Malware in AI Pipelines
Malicious payloads hide inside common business files like PDFs, Office documents, and archives. Typical AI guardrails focused on text do not neutralize embedded file-level risks.
Knowledge Manipulation Through Untrusted Documents
Malicious or deceptive documents can enter retrieval pipelines, get indexed, and silently influence model outputs over time, turning the knowledge base into an attack vector.
Sensitive Data Exposure to AI Systems
Users upload financial data, source code, credentials, and customer records into AI workflows. Once exposed to external models or poorly governed services, organizations face loss of data control and potential regulatory liability.
Embedded Prompt Injection Inside Files
Instructions hidden inside uploaded documents, rather than typed directly into chat, can manipulate model behavior and downstream tools when retrieved through RAG or agent workflows.
Unknown and Zero-Day File-Based Threats
AI workflows encourage massive content ingestion, increasing exposure to previously unseen threats. Detection alone is not enough. Prevention must occur before content enters the pipeline, or organizations risk regulatory penalties and reputational harm from undetected breaches.
Prevention First Security for Enterprise AI
MetaDefender Core applies a prevention-first model to AI content flows and secures what enters the model, what gets indexed, and what crosses trust boundaries.
File Sanitization and Threat Removal
Strips embedded objects and out-of-policy content, and regenerates safe, usable files. Neutralizes both known and unknown malware without relying on signature-based detection.
Secure RAG and Knowledge Pipelines
Ensures only trusted, policy-approved content is indexed into retrieval systems and vector stores, reducing RAG poisoning risk and long-lived knowledge manipulation.
Sensitive Data Control
Enforces what content is allowed into public LLMs, internal copilots, and external AI APIs, scanning for PII, PHI, credentials, and financial data using OCR-powered hidden text detection.
Policy-Driven Enforcement and Quarantine
Organizations define what content is permitted, what must be sanitized, and what is blocked or quarantined, creating a true control layer for enterprise AI content handling.
Hardware-Enforced One-Way Transfer (Optical Diode)
For high-assurance environments, MetaDefender Optical Diode™ provides a hardware-enforced, unidirectional data path with no return channel, preventing data exfiltration even if downstream systems are compromised.
特点
防止敏感数据丢失
- 利用人工智能驱动的模型将非结构化文本定位并分类到预定义的类别中
- 自动对125多种文件类型中的已识别敏感信息（如个人身份信息、个人健康信息、支付卡信息）进行脱敏处理
- 支持图像中的光学字符识别 (OCR)
利用基于仿真的高级沙箱技术检测规避性恶意软件
- 高速分析文件
- 反规避沙箱引擎提取 IOC
- 识别零时差威胁
- 通过API 或本地集成实现深度恶意软件分类
利用实时Threat Intelligence加强检测
- 在 50B 以上的人工制品中关联全球 IOC、IP、URL 和文件声誉
- 更快地阻止新出现的威胁
- 丰富下游分析
Secure 软件 Supply ChainSecure
- 管理与开放源码软件 (OSS)、第三方组件和依赖性相关的风险
- 确保代码库的透明度、安全性和合规性
在安装之前检测应用程序漏洞
- 安装前检查软件是否存在已知漏洞
- 在设备静止时扫描系统，查找已知漏洞
- 快速检查运行中的应用程序及其库是否存在漏洞
即时检测文件的地理来源
- 检测上传文件的地理来源，包括 PE、MSI 和 SFX（自解压压缩包）
- 自动分析数字指纹和元数据，识别受限地点和供应商
部署选项
Cloud Native
Deploy MetaDefender Core in your cloud environment for scalable, on-demand AI pipeline protection.
Integrates with cloud-based AI workflows via REST API, supporting elastic scaling for variable file ingestion volumes across LLM applications and RAG pipelines.
企业内部
Full on-premises deployment for organizations requiring complete control over data and infrastructure.
Air-Gapped / High-Assurance
Air-gapped deployment with MetaDefender Optical Diode for hardware-enforced unidirectional data transfer.
集成
It scans at every stage, from file upload portals and RAG ingestion pipelines to CI/CD workflows used in AI model and chatbot development. The platform connects to existing enterprise AI environments, including cloud platforms such as AWS and Azure, without requiring changes to application logic or model infrastructure.
Where MetaDefender Core
Fits in the AI Stack
MetaDefender Core acts as the AI security gateway, inspecting and sanitizing content before file upload, before RAG ingestion, before tool execution, and before data crosses a trust boundary.
Protect AI Copilots Handling Sensitive Financial Data
Financial institutions using LLM-powered copilots for research, compliance, and customer service need to prevent sensitive data leakage and ensure that uploaded documents are free of embedded threats. Proactive DLP and Deep CDR™ Technology enforce content-level controls before files reach the model.
High-Assurance AI with Hardware-Enforced Isolation
Government and defense agencies require the highest levels of data assurance. MetaDefender Core sanitizes all content entering classified or sensitive AI environments, and MetaDefender Optical Diode ensures no data can flow back through the ingestion path — meeting strict cross-domain transfer requirements.
Secure AI-driven Analytics in Operational Environments
Manufacturers using AI for predictive maintenance, quality control, and supply chain optimization must protect against file-borne threats entering through data ingestion. MetaDefender Core provides policy-driven enforcement at every ingestion point, with air-gapped deployment options for isolated OT networks.
Secure AI Deployments Across OT and IT Environments
Energy and utilities organizations deploying AI for operational intelligence need to ensure that untrusted files and data feeds cannot introduce malware or manipulate models connected to operational technology networks. MetaDefender Optical Diode enforces one-way data transfer between IT and OT zones.
- 金融服务
金融服务Protect AI Copilots Handling Sensitive Financial Data
Financial institutions using LLM-powered copilots for research, compliance, and customer service need to prevent sensitive data leakage and ensure that uploaded documents are free of embedded threats. Proactive DLP and Deep CDR™ Technology enforce content-level controls before files reach the model.
- 政府政府
High-Assurance AI with Hardware-Enforced Isolation
Government and defense agencies require the highest levels of data assurance. MetaDefender Core sanitizes all content entering classified or sensitive AI environments, and MetaDefender Optical Diode ensures no data can flow back through the ingestion path — meeting strict cross-domain transfer requirements.
- 制造业制造业
Secure AI-driven Analytics in Operational Environments
Manufacturers using AI for predictive maintenance, quality control, and supply chain optimization must protect against file-borne threats entering through data ingestion. MetaDefender Core provides policy-driven enforcement at every ingestion point, with air-gapped deployment options for isolated OT networks.
- 能源与公用事业能源与公用事业
Secure AI Deployments Across OT and IT Environments
Energy and utilities organizations deploying AI for operational intelligence need to ensure that untrusted files and data feeds cannot introduce malware or manipulate models connected to operational technology networks. MetaDefender Optical Diode enforces one-way data transfer between IT and OT zones.
推荐资源
Securing AI Data Pipelines and LLM-Powered Applications
人工智能加速Software ，使文件安全成为网络防御的新前沿
常见问题解答
MetaDefender Core supports over 200 file types including PDFs, Office documents, archives, images, media files, source code, and executables, covering the full range of content commonly ingested by enterprise AI systems.
Deep CDR™ Technology does not rely on detecting known threats. It strips all active content from files and reconstructs clean, usable versions, neutralizing both known and unknown malware, including zero-day threats.
Yes. MetaDefender Core inspects and sanitizes files before they are indexed into vector stores or retrieval systems, reducing the risk of RAG poisoning and long-term knowledge manipulation.
The MetaDefender Optical Diode is a hardware-enforced, one-way data transfer device. It physically prevents data from flowing back into a protected environment — required for defense, critical infrastructure, and any deployment where software-only controls are insufficient.
MetaDefender Core integrates via REST API or ICAP at any data ingestion point, including file upload portals, RAG pipelines, CI/CD workflows, and AI training data feeds. No changes to application logic or model infrastructure are required.
Yes. MetaDefender Core provides secure input validation, complete audit trails, file hashing, and logging that support compliance with the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, and other emerging AI regulatory frameworks.
Yes. Proactive DLP scans for PII, PHI, financial data, and credentials. It also uses OCR to detect and redact hidden text within images and visual content that could bypass human review.
MetaDefender Core deploys cloud-native, on-premises, or in air-gapped architectures. For high-assurance environments, it pairs with the Optical Diode for hardware-enforced unidirectional transfer.
