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
- Deep File Sanitization
- Hardware Enforced Isolation
OPSWAT is Trusted by
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.
Features
Built for Prediction,
Engineered for Speed
- Deep file structure analysis
- ML-Model trained on zero-day threats
More Engines Are Better Than One
- Detect nearly 100% of malware
- Scan simultaneously with 30+ leading AV engines
Stop Threats That Others Miss
- Supports 200+ file formats
- Recursively sanitize multi-level nested archives
- Regenerate safe and usable files
True File Type Detection for Security-Critical Workflows
- AI-Enhanced
- Detects spoofed file types in milliseconds
- Inline enforcement without performance loss
Prevent Sensitive Data Loss
- Utilize AI-powered models to locate and classify unstructured text into predefined categories
- Automatically redact identified sensitive information like PII, PHI, PCI in 125+ file types
- Support for Optical Character Recognition (OCR) in images
Detect Evasive Malware with Advanced Emulation-Based Sandboxing
- Analyze files in a high-speed
- Anti-evasion sandbox engine extracts IOCs
- Identify zero-day threats
- Enable deep malware classification via API or local integration
Enhance Detection with Real-Time Threat Intelligence
- Correlate global IOCs, IPs, URLs, & file reputation across 50B+ artifacts
- Stop emerging threats faster
- Enrich downstream analysis
Secure Your Software Supply Chain
- Manage risks associated with open-source software (OSS), 3rd party components and dependencies
- Ensure codebase transparency, security, and compliance
Detect Application Vulnerabilities Before They Are Installed
- Check software for known vulnerabilities before installation
- Scan systems for known vulnerabilities when devices are at rest
- Quickly examine running applications and their libraries for vulnerabilities
Enable Instant Detection of a File’s Geographic Source
- Detect the geographic source of uploaded files, including PE, MSI, and SFX (self-extracting archives)
- Automatically analyze digital fingerprints and metadata to identify restricted locations and vendors
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
![OPSWAT Technologies Image]()
File Type DetectionTrue File Type Detection for Security-Critical Workflows
- AI-Enhanced
- Detects spoofed file types in milliseconds
- Inline enforcement without performance loss
99%+ AccuracyOn Disguised Extensions![OPSWAT Technologies Image]()
Threat IntelligenceEnhance Detection with Real-Time Threat Intelligence
- Correlate global IOCs, IPs, URLs, & file reputation across 50B+ artifacts
- Stop emerging threats faster
- Enrich downstream analysis
FasterSpeed up overall triage timeTransparentDefend critical environments with greater clarity![OPSWAT Technologies Image]()
Archive ExtractionRecursively 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
160+ Archive FormatsSupported
Deployment Options
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.
On-Premises
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.
Integrations
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.
- Financial Services
Financial ServicesProtect 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.
- GovernmentGovernment
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.
- ManufacturingManufacturing
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.
- Energy & UtilityEnergy & Utility
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.
Recommended Resources
Securing AI Data Pipelines and LLM-Powered Applications
AI-Accelerated Software Development Makes File Security the New Front Line of Cyber Defense
FAQ’s
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.
