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
- Sanitização profunda de ficheiros
- Hardware Enforced Isolation

OPSWAT tem a confiança de
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.
Características
Built for Prediction,
Engineered for Speed
- Deep file structure analysis
- ML-Model trained on zero-day threats
Mais motores são melhores do que um
- Detetar quase 100% do malware
- Analise simultaneamente com mais de 30 mecanismos AV líderes
Detenha as ameaças que os outros não vêem
- Suporta mais de 200 formatos de ficheiro
- Sanitizar recursivamente arquivos aninhados de vários níveis
- Regenerar ficheiros seguros e utilizáveis
Verdadeira deteção de tipo de ficheiro para fluxos de trabalho críticos em termos de segurança
- Melhorado por IA
- Detects spoofed file types in milliseconds
- Inline enforcement without performance loss
Evitar a perda de dados sensíveis
- Utilizar modelos baseados em IA para localizar e classificar texto não estruturado em categorias predefinidas
- Oculta automaticamente informações confidenciais identificadas, como PII, PHI e PCI, em mais de 125 tipos de ficheiros
- Suporte para reconhecimento ótico de caracteres (OCR) em imagens
Detetar Malware Evasivo com Sandboxing Avançado Baseado em Emulação
- Analisar ficheiros a alta velocidade
- O motor de sandbox anti-evasão extrai IOCs
- Identificar ameaças de dia zero
- Permitir a classificação profunda de malware através de API ou integração local
Melhorar a deteção com Threat Intelligence em tempo real
- Correlacionar IOCs globais, IPs, URLs e reputação de ficheiros em mais de 50 mil artefactos
- Detenha as ameaças emergentes mais rapidamente
- Enriquecer a análise a jusante
Secure a suaSupply Chain Software
- Gerir os riscos associados ao software de fonte aberta (OSS), aos componentes de terceiros e às dependências
- Garantir a transparência, segurança e conformidade da base de código
Detetar vulnerabilidades de aplicações antes de serem instaladas
- Verificar se o software tem vulnerabilidades conhecidas antes da instalação
- Analisar os sistemas para detetar vulnerabilidades conhecidas quando os dispositivos estão em repouso
- Examinar rapidamente as aplicações em execução e as suas bibliotecas para detetar vulnerabilidades
Enable Instant Detection of a File’s Geographic Source
- Detetar a origem geográfica dos ficheiros carregados, incluindo PE, MSI e SFX (arquivos de extração automática)
- Analisar automaticamente as impressões digitais e os metadados para identificar locais e fornecedores restritos
Recursively Extract and Analyze Deeply Nested Archive Files
- Recursive extraction to configurable depth
- Single-pass extraction across all engines
- Archive bomb detection and containment
- Encrypted and password-protected archive support
Opções de implementação

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.

No local
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.
Integrações
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.

Recursos recomendados
Securing AI Data Pipelines and LLM-Powered Applications
Software acelerado por IA torna a segurança de ficheiros a nova linha de frente da defesa cibernética
Perguntas frequentes
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.



























