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
- 深層檔案淨化
- Hardware Enforced Isolation
OPSWAT 獲得以下機構的信賴
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.
特點
多引擎比一個引擎好
- 檢測近 100% 的惡意軟體
- 與 30+ 知名的 AV 引擎同時掃描
防止敏感資料丟失
- 利用 AI 驅動的模型將非結構化文本定位並分類為預定義的類別
- 自動對 125 種以上的檔案類型中已識別的敏感資訊（如個人身份資訊、個人健康資訊、支付卡資訊）進行遮蔽處理
- 支援影像中的光學字元識別 （OCR）
利用先進的模擬沙箱偵測惡意軟體
- 高速分析檔案
- 反避難沙箱引擎擷取 IOC
- 識別零時差威脅
- 透過API 或本機整合啟用深度惡意軟體分類
蒐集威脅情資
利用即時Threat Intelligence增強偵測能力
- 關聯全球 50B+ 工件的 IOC、IP、URL 和檔案信譽
- 更快阻止新興威脅
- 豐富下游分析
保護 您的Software Supply Chain
- 管理與開源軟體 （OSS）、第三方元件和依賴項相關的風險
- 確保代碼庫的透明度、安全性和合規性
在安裝應用程式漏洞之前檢測它們
- 安裝前檢查軟體是否存在已知漏洞
- 在設備處於靜止狀態時掃描系統以查找已知漏洞
- 快速檢查正在運行的應用程式及其庫是否存在漏洞
啟用對檔案原產地來源的即時檢測
- 檢測上傳檔案的地理來源，包括PE、MSI和 SFX（自解壓存檔）
- 自動分析數位指紋和元資料，以識別受限制的位置和供應商
部署選項
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.
本地
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.
整合
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.
- 金融服務
金融服務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.
- 製造業製造業
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.
- 能源與公用事業能源與公用事業
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.
推薦的資源
確保 AI 資料管線與大型語言模型驅動應用程式的安全性
AI加速Software 檔案安全成為網路防禦的新前線
常見問題
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.
