New Product Introduction: Reduce The Risk of Failure
Launching a new product, or New Product Introduction (NPI), is a high-stakes journey, fraught...
In manufacturing, data security is often discussed in abstract terms--firewalls, passwords, backups--but in practice, it is fundamentally practical, and operational.
An MES or operations data system sits at the center of production execution. It knows what is being built, how it is being built, how machines are behaving in real time, and more. If that system is compromised, unavailable, or manipulated, the impact is immediate, operational, and financial.
For that reason, data security in MES environments must be treated as a primary design requirement, not an add-on. A secure system must do two things at once:
The only reasonable exception is when a system is hosted in a company's own, tightly controlled cloud account, managed by internal IT, and accessible exclusively through a secure VPN from within the corporate network. Even then, access should be restricted, monitored and logged.
When an MES is deployed inside the corporate network, behind the firewall and existing security controls, an attacker must defeat multiple independent barriers. First they must penetrate the corporate environment itself--an event that should trigger alerts across intrusion detection, endpoint monitoring, and network security tools. Only then do they face the additional challenges of discovering and compromising the internal operations system. This layered approach dramatically reduces risk and increases the likelihood of early detection.
Best practice is to keep operational systems under the customer's direct control. That means installation within the customer's IT environment, governed by their firewall rules, network segmentation, and cybersecurity policies. Production systems should not depend on external parties for basic security enforcement, nor should they be reachable from the public internet.
Beyond expense, cloud architectures often introduce vendor lock-in. Proprietary services, data models, and deployment patterns can make future migrations difficult or impossible.
Security complexity also increases as more endpoints, APIs, and integrations are exposed.
For many manufacturers, controlled, on-premises or privately managed cloud deployments offer a better balance of security, cost predictability, and long-term flexibility.
User account management is another critical boundary. MES user accounts should be owned and managed by operations management, not inherited from Active Directory or other third-party identity providers.
If a corporate Windows account is compromised, the MES should not automatically be exposed because it mirrors the same credentials. Operations systems require their own security domain, separate from office IT.
Credential handling must also meet modern standards. User and machine accounts should always be encrypted, with strong password enforcement that includes sufficient length, complexity, and lockout policies. Credentials must be stored using one-way cipher implementations. Any system that stores passwords in plain text--or in reversible form--represents a serious and unacceptable risk.
For this reason, real-time data replication should be a baseline requirement for MES platforms.
Production data should be mirrored continuously to a secondary server with separate administrative credentials. If a primary system fails or is suspected of compromise, it should be possible to isolate it immediately and continue operations with an up-to-the-millisecond system state.
This replication can be extended to an offsite location to support full disaster recovery, but the key principle remains the same: recovery should be immediate, predictable, and simple. Overly complex recovery architectures often fail when they're needed most.
Access within the system should follow the principle of least privilege. Standard users should only be able to see and modify what is required for their role. Role-based access control allows permissions to be constrained by product line, operation, or facility, reducing both accidental misuse and insider risk.
Equally important is auditability. Secure MES platforms maintain detailed audit logs of logins, logouts, and user activity. Transaction logs capture what work was performed and when. Change logs record every update to processes, products, and bills of material (BOMs). These records are essential not only for compliance, but for understanding incidents, troubleshooting issues, and conducting forensic analysis when something goes wrong.
If this sounds too complicated, let us disabuse you of that notion. It's straightforward and fast to implement using today's modern software technologies.
Automated data archiving and data warehouse integration help manage long-term data growth while preserving access to historical records.
Self-monitoring systems further reduce risk by detecting issues early and minimizing reliance on constant manual oversight.
Strong MES and operations data security is not achieved through a single feature or technology choice. It's the result of disciplined architectural decisions, layered defenses, and a clear understanding of how manufacturing systems actually operate.
If this sounds a bit like a military exercise, that's because it is. And it needs to be, considering the growing, evolving and escalating risks out there.
Keeping systems private, minimizing access paths, enforcing strong credential and role controls, maintaining real-time recovery, and designing for simplicity are not optional enhancements. They are foundational requirements.
When these principles are applied consistently, MES platforms become significantly harder to attack--and far more resilient when something inevitably goes wrong. And that can only be good for your operation.
Visit Intraratio.com for more information on how our MES can help keep your operation up and running through whatever the world can throw at it.
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