Protect the Data That Powers AI and Analytics
Data lakes have become one of the highest-value targets in modern enterprises. OPSWAT helps ensure only trusted data enters, resides in, and moves from your data lake before it is used by AI, analytics, and business systems.
- Trusted Data Ingestion
- Continuous Threat Detection
- Secure Data Transfer
OPSWAT is Trusted by
Data Lakes Are Becoming Prime Targets for
Cyber Threats
Untrusted Data Enters Enterprise Data Lakes
Organizations continuously ingest files, datasets, documents, images, and third-party content into data lakes. Traditional security controls rarely inspect these assets before they are stored and trusted.
Malware Can Hide in Valuable Data Repositories
Traditional security controls often focus on network access and user permissions, leaving stored files and datasets unchecked for embedded threats.
AI and Analytics Depend on Trusted Data
Data poisoning, malicious files, and manipulated content can impact analytics results, AI models, and business decisions long before security teams identify the source.
Secure the Entire Data Lake Lifecycle
OPSWAT helps organizations protect the data that fuels AI, analytics, and business operations by securing how data enters, resides in, and moves from enterprise data lakes.
Sanitize Data Before It Enters
Inspect files, documents, archives, media, and datasets before they are ingested into the data lake. This helps prevent malware, weaponized content, and risky files from becoming part of trusted enterprise data.
Protect Data at Rest
Continuously scan and monitor stored data to detect threats that may have bypassed earlier controls, become newly detectable, or been introduced through internal and external workflows.
Protect Data as It Moves
Securely transfer approved data between environments, networks, and trust zones, including high-security analytics and AI environments that require strong isolation.
One Platform Across the Data Lifecycle
Build Trust Into Every Stage of the Data Lifecycle
Stop Threats Before They Reach the Data Lake
Inspect and sanitize incoming files and datasets before they become part of your organization's trusted data repositories.
Continuously Protect Stored Data
Monitor and scan data lake storage locations to identify hidden threats, dormant malware, and non-compliant content.
Secure Data Movement Across Trust Boundaries
Transfer approved data into protected analytics and AI environments without exposing critical systems to network-based attacks.
Where Trusted Data Matters Most
From AI and analytics to cloud, OT, and cross-domain environments, OPSWAT helps organizations ensure the data behind critical decisions is secure, validated, and continuously trusted.
AI/ML Training Data
Protect the data used to train AI models, LLMs, and RAG applications by ensuring only trusted documents, code, datasets, and knowledge repositories enter AI pipelines. By preventing malicious or poisoned content from becoming part of training and retrieval workflows, organizations can improve AI reliability, accuracy, and trustworthiness.
Enterprise Analytics Platforms
Secure the business data that powers analytics, dashboards, and reporting platforms by inspecting and monitoring financial, operational, customer, and third-party data throughout the analytics lifecycle. This helps organizations improve confidence in business insights, reduce risk from malicious content, and support more informed decision-making.
Cloud-Native Data Lakes
Protect cloud-native data lakes across AWS, Azure, and Google Cloud by securing data ingestion, continuously monitoring stored content, and enforcing trust across distributed environments. This enables organizations to scale analytics and AI initiatives while maintaining data integrity, governance, and compliance.
Cross-domain Data Sharing
Enable secure movement of data across networks, security domains, and trust boundaries by validating content before transfer and enforcing one-way data movement where required. This allows organizations to share critical information safely while reducing cyber risk and preventing threats from crossing into protected environments.
OT & Industrial Data Lakes
Protect operational technology (OT) data as it moves from industrial environments into data lakes, analytics platforms, and AI systems by inspecting content, enforcing secure one-way transfer, and continuously monitoring stored data. This enables trusted industrial analytics, predictive maintenance, and operational intelligence while preserving the security and availability of critical operations.
- AI/ML Training Data
AI/ML Training Data
Protect the data used to train AI models, LLMs, and RAG applications by ensuring only trusted documents, code, datasets, and knowledge repositories enter AI pipelines. By preventing malicious or poisoned content from becoming part of training and retrieval workflows, organizations can improve AI reliability, accuracy, and trustworthiness.
- Enterprise Analytics Platforms
Enterprise Analytics Platforms
Secure the business data that powers analytics, dashboards, and reporting platforms by inspecting and monitoring financial, operational, customer, and third-party data throughout the analytics lifecycle. This helps organizations improve confidence in business insights, reduce risk from malicious content, and support more informed decision-making.
- Cloud-Native Data Lakes
Cloud-Native Data Lakes
Protect cloud-native data lakes across AWS, Azure, and Google Cloud by securing data ingestion, continuously monitoring stored content, and enforcing trust across distributed environments. This enables organizations to scale analytics and AI initiatives while maintaining data integrity, governance, and compliance.
- Cross-domain Data Sharing
Cross-domain Data Sharing
Enable secure movement of data across networks, security domains, and trust boundaries by validating content before transfer and enforcing one-way data movement where required. This allows organizations to share critical information safely while reducing cyber risk and preventing threats from crossing into protected environments.
- OT & Industrial Data Lakes
OT & Industrial Data Lakes
Protect operational technology (OT) data as it moves from industrial environments into data lakes, analytics platforms, and AI systems by inspecting content, enforcing secure one-way transfer, and continuously monitoring stored data. This enables trusted industrial analytics, predictive maintenance, and operational intelligence while preserving the security and availability of critical operations.
Support Data Security, AI Governance, and Regulatory Compliance
By securing how data enters, resides in, and moves across data lakes, OPSWAT helps organizations strengthen compliance, governance, and risk management programs.
Get Started in 3 Simple Steps
Assess Your Data Lake
Work with OPSWAT experts to identify your data lake architecture, data sources, and security requirements. We'll help uncover potential risks, including malware, sensitive data, and compliance gaps.
Build Your Protection Strategy
Design a solution tailored to your environment by selecting the appropriate MetaDefender technologies to scan, classify, sanitize, and protect data throughout its lifecycle.
Deploy and Optimize
Implement the solution with guidance from OPSWAT and continuously strengthen your data lake security through automated scanning, policy enforcement, and ongoing monitoring.
FAQs
OPSWAT helps protect documents, spreadsheets, PDFs, archives, images, source code, engineering files, third-party datasets, and other business-critical content commonly stored in enterprise data lakes.
Yes. OPSWAT supports cloud and hybrid environments, helping organizations secure data stored in platforms such as AWS, Azure, Snowflake, Databricks, and other enterprise data repositories.
OPSWAT helps ensure data used for AI training, retrieval-augmented generation (RAG), and analytics is inspected, validated, and continuously monitored before it is consumed by AI systems.
No. OPSWAT complements data governance, IAM, encryption, and monitoring solutions by helping organizations establish trust in the data itself before it is used.
OPSWAT can validate data before transfer and leverage MetaDefender Optical Diode technology to enable secure one-way movement of approved data into protected environments.
The solution supports on-premises, cloud, and hybrid deployments to meet a wide range of operational, security, and compliance requirements.
Organizations in financial services, healthcare, government, defense, manufacturing, energy, and critical infrastructure often use data lakes to support analytics, AI, and operational intelligence initiatives and can benefit from stronger data trust.
