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Why Secure Managed File Transfer Is Critical for…
Why Secure Managed File Transfer Is Critical for Manufacturing in the Age of AI
Closing Security Gaps Between Global Operations & AI-Driven Workflows
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OPSWAT
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Secure Manufacturing Starts with Secure Data Movement
Manufacturers are rapidly embracing AI to optimize production, accelerate design cycles, and automate predictive maintenance. But these gains hinge on a secure, efficient flow of data between systems—and that’s where many operations fall short. Legacy file transfer methods like ad hoc SFTP, manual USB transfers, and untracked email attachments leave critical gaps in visibility, control, and security.
It’s not just about efficiency anymore—it’s about visibility, control, and layered defense.
Jeremy Fong
Vice President of MetaDefender Managed File Transfer
Secure Managed File Transfer (MFT) has become foundational to operational continuity in the age of AI. Without reliable, secure file movement, even the most advanced analytics or automation initiatives can stall.
Organizations that continue to rely on ad hoc file transfers or unmonitored SFTP connections are taking serious risks: operational downtime, untraceable data leaks, and weak regulatory posture. Using secure file transfer solutions to bridge OT and IT zones, enforce data protection, and automate file transfers across global operations is essential to avoid disruption and to support the data-driven workflows AI depends on.
Proven Strategies for Efficiency & Protection
Watch our experts talk about secure data flows in manufacturing environments.
Outdated file transfer tools may keep operations running, but only on the surface. Beneath that are systemic weaknesses: poor visibility, weak authentication, no audit trails, and no advanced content inspection or multilayered threat prevention. These aren't just inefficiencies but open doors for attackers, audit failures, and stalled automation.
In many manufacturing environments, removable media like USB drives are still used to transfer files across air-gapped and segmented networks. This creates blind spots that make it difficult to detect malware, validate data integrity, or enforce access controls. As Jeremy Fong noted, “In the beginning, they were letting USB drives in… that’s the main problem.” Even seemingly ‘safe’ transfers can break down under modern demands.
Key risks include:
No policy enforcement: Files move between people and machines without any central oversight or approval flow
Unverified content: Executables, macros, and archives go unchecked; often scanned once (if at all) using a single AV engine
Manual steps and delays: Every file upload or download increases the risk of error, loss, or exposure—especially across IT-OT boundaries
The 2025 IBM X-Force report confirms what CISOs already suspect: “Threat actors are using valid credentials to log in, exploit unpatched vulnerabilities ... with or without AI assistance,” all the while manufacturing remains the top-targeted industry for ransomware. Without role-based access and scanning at every transfer point, attackers only need one unmonitored connection to get into the system.
The bottom line: legacy transfer tools may appear low-cost, but the risk of downtime, data loss, or a failed audit makes them one of the most expensive systems in your plant. It’s time to assess whether your current file transfer practices can keep pace with AI-driven workflows, compliance expectations, and the increasing need for secure cross-domain collaboration.
AI Tools Depend on Secure File Transfers
AI is only as reliable as the data it receives. In manufacturing, that data is constantly moving—from sensors to servers, from design teams to machines, and from vendors to production lines. When these files are outdated, incomplete, or compromised, AI-driven decisions can misfire, and the consequences range from scrap and rework to production downtime. Common use cases make this dependency clear:
Predictive maintenance: It is a method that uses equipment data and machine learning to anticipate failures before they happen. It relies on consistent log files from shop floor equipment. If logs are corrupted or dropped during transfer, scheduled repairs can fail or misalign.
AI-based quality control: Refers to automated inspection systems that use computer vision or machine learning to detect defects in real time. Such systems process images and video files from inspection stations. A single malformed file can crash inference engines or result in false quality signals.
Digital twins: These are virtual models of physical systems that simulate performance using real-time data from the shop floor. They pull updates from CAD files, layout plans, and sensor feeds. If any of these inputs are tampered with, the simulation is no longer a safe basis for decision-making.
AI manipulated performance simulation
As the 2024 Deloitte report notes, “Start with value first… There is no one-size-fits-all approach to employing Generative AI, and there is a wide range of benefits that could be gained.” But those benefits depend on input integrity. Without trusted file flows, manufacturers risk feeding flawed data into systems that automate expensive outcomes.
File-Based Threats Are Evolving
In manufacturing, files move constantly between people, systems, vendors, and zones. But that same movement creates a wide and often unmonitored attack surface. Many security incidents begin not with a direct network breach, but with a single malicious file.
Removable media like USB drives are still used to update controllers, transfer logs, or deliver vendor patches. In some cases, shared cloud folders or unencrypted SFTP sessions bridge the gap between IT and OT environments. These file exchanges often lack authentication, inspection, or tracking, leaving the door open for exploitation.
According to the Dragos 2025 OT Cybersecurity Report, 87% more ransomware attacks targeted industrial organizations year-over-year, with manufacturing hit hardest. Attackers exploit weaknesses in unmanaged file transfers between IT, OT, and third parties. All they need is just one executable file to be trusted and passed through unchecked.
Legacy tools may scan for known malware, but that’s no longer enough. Manufacturers need to treat every inbound file as a potential threat, and not just those from untrusted sources, but also those coming from partners or internal teams. Thus, to protect their segmented environments, manufacturers now require enhanced cybersecurity measures, such as:
Multiscanning: Using multiple AV engines in parallel to improve detection accuracy
Adaptive Sandboxing: Executing suspicious files in an isolated environment to detect evasive behavior
These technologies don’t just block known threats. They help defend against zero-days and weaponized files that a single antivirus engine can miss. And they do so automatically, without slowing down operations. With AI and automation amplifying data flows, every file transfer becomes either a potential threat vector or a point of assurance.
The difference lies in whether it’s inspected, controlled, and tracked, which is something best achieved through policy-based solutions like Managed File Transfer (MFT). MFT provides centralized control, access restrictions, and full audit logging across segmented networks.
File movement is either a potential liability or a strategic advantage. A security-first MFT gives manufacturers the ability to govern file flows with confidence. OPSWAT’s MetaDefender Managed File Transfer™ combines multilayered threat prevention with policy enforcement, role-based access, and full auditability. Files are automatically scanned with multiple AV engines, sanitized using OPSWAT’s Deep CDR™ technology, and detonated in MetaDefender Sandbox™ if needed—all before reaching critical systems.
A global automotive manufacturer uses this approach to handle inbound files from external vendors. The process begins at a MetaDefender Kiosk™, where a user uploads files from a USB drive onto a secure system. From there, MFT orchestrates scanning and applies approval policies, transferring files through a data diode into the OT environment. As Jeremy Fong explained: “You plug a USB into the Kiosk on the IT side, and then you have an MFT that connects to a diode. ... that orchestrates file delivery into the OT environment.”
MetaDefender MFT integrates seamlessly into existing environments and scales to support complex, multi-zone architectures. At the same time, it supports key security measures and operational capabilities, including:
Role-based access control: Enforcing who can upload, download, or approve files
Detailed logging and audit trails: Supporting compliance with NIS2 and ISA/IEC 62443
Protocol flexibility: Enabling secure transfers over SFTP, SMB, SharePoint, and custom APIs
Workflow automation: Triggering transfers based on time, events, or logic-based rules
Instead of patching together email attachments, cloud shares, and one-off scripts, manufacturers get a unified, auditable system for trusted file movement, ready for both security teams and regulators.
Secure File Transfer Enables Scalable AI Use Cases
AI adoption in manufacturing doesn’t succeed on algorithms alone. It depends on reliable, high-integrity data flowing between systems, zones, and partners. Without a secure and automated file transfer backbone, scaling AI workloads can create more risk than reward.
MetaDefender MFT can eliminate the manual steps and hidden gaps that stall or compromise automation. Files move according to defined policies, not ad hoc scripts or user workarounds. This creates a solid operational foundation for AI initiatives—especially when they span multiple teams, locations, or data sources.
With policy-driven MFT in place, manufacturers can:
Enable file transfer automation through schedules, API calls, or logic-based triggers
Implement Logic-Based File Transfers that enforce conditional workflows
Enforce RBAC (role-based access control) to limit upload, download, and approval rights
Trigger movement based on production events, schedules, or logic-based rules
Track and audit all activity, enabling forensic readiness and regulatory compliance
For example, an AI system tasked with analyzing vibration logs from the shop floor can receive those files instantly, without manual intervention. This not only improves security but also accelerates adoption. When data is trusted and transfer is secure, AI use cases scale faster, with less friction between IT, OT, and compliance teams.
AI-enhanced automated file transfers
Recommendations for Manufacturing Leaders
As data volumes grow and compliance demands tighten, manufacturing leaders must ensure their systems can move files securely, consistently, and with full accountability. To reduce risk and prepare for scalable AI integration, manufacturers should:
Phase out manual transfers that lack authentication, logging, or verification
Replace legacy FTP and email-based workflows with centralized, policy-enforced MFT
Enforce malware scanning and sanitization on all inbound files, including those from known partners
Ensure full traceability with audit logs, approval workflows, and integration into compliance reporting
These steps don’t just strengthen cybersecurity. They also reduce operational delays, lower the cost of compliance, and improve confidence in the data fueling AI systems and decision support tools.
Securing the Foundation for AI-Driven Manufacturing
As manufacturing evolves with rising data volumes, increased connectivity, and growing reliance on AI, organizations face a new operational challenge: moving files securely, efficiently, and with confidence.
Legacy transfer methods were not designed for this scale or complexity. They lack the visibility, control, and security that modern operations demand. By adopting secure MFT solutions with built-in policy enforcement, threat prevention, and auditability capabilities, manufacturers can align file movement with their broader goals: automation, compliance, and resilience.
In the age of AI, secure file transfer is not just an upgrade. It’s the foundation for safe, scalable innovation. Explore how MetaDefender Managed File Transfer can help you secure file movement across your manufacturing operations without compromising security or slowing down progress.