Cybersecurity is no longer just an IT issue in today’s manufacturing environments. For every security update, manufacturers must also balance operational continuity; security patches come with maintenance windows, and system changes must align with production schedules.
Meanwhile, AI-driven cyber-threats are targeting manufacturing environments with increased speed. In response, manufacturers’ security and IT teams are leveraging automation to accelerate a multitude of security tasks, like vulnerability scanning and patch management. But aligning these individual tasks across IT and security teams is where there is a challenge.
According to Adaptiva’s State of Patch Management 2026 Report, 74 percent of organizations cite the coordination of vulnerability prioritization and remediation as their biggest security issue. These findings underscore the importance of ensuring people, processes, and systems across security operations do not add friction.
Today’s manufacturers who are successfully protecting their environments without disrupting production are not just automating more tasks, but improving the workflows and processes that help teams evaluate, approve, and deploy updates.
What Automation Has Already Delivered
Security and IT teams within manufacturing today rely on AI as an essential foundation of their modern cybersecurity architecture. Within the past two decades, automation has helped manufacturers improve the efficiency of patch distribution across large, dispersed environments and reduce the manual effort required by automating repetitive administrative tasks.
Automation has also been crucial in enabling production teams to scale endpoints, servers, and connected devices with limited staff. Across the manufacturing industry’s mix of cloud-based systems, on-premises systems, and legacy components, automation enables the rapid deployment of security updates across plants, facilities, and remote locations worldwide.
While automated tools help IT and security teams execute individual tasks faster, such as detection and remediation, bottlenecks remain in connecting the two systems, which still rely on manual coordination.
Why Manufacturers Aren’t Getting the Full Value of Automation
By leveraging automation to address individual patching tasks rather than the entire remediation process, manufacturers find themselves manually coordinating production schedules, maintenance windows, testing requirements, and operational approvals, which slows deployment. In manufacturing environments, remediation decisions rarely happen in isolation.
Security teams must coordinate with plant managers, production teams, maintenance personnel, and operational technology stakeholders before updates can be deployed. Even when patching tasks are automated, the surrounding decisions often remain highly manual.
Furthermore, the fragmentation caused by partially automated workflows creates visibility gaps, which in turn leave assets, legacy systems, third-party applications, or operational technology (OT) environments outside of regular patching workflows and further exposed to risk. The complexity increases when organizations operate across both IT and OT environments.
Traditional IT systems may be patched frequently, but OT often requires more extensive testing and validation to avoid unintended disruption. This creates uneven remediation cycles and additional coordination requirements that automation alone cannot solve.
The unique complexity of manufacturing environments, combined with resource constraints, adds to the difficulty of maintaining consistency across IT and OT environments. This is also supported by data that shows that despite patch deployment cycles shortening dramatically over the past few years, bottlenecks remain in operations, with 56 percent of organizations still feeling exposed to risk of known vulnerabilities.
As such, manufacturers taking the biggest strides forward in balancing security and operations are not just automating more tasks; they are creating entire workflows where automation streamlines, builds resilience, and consistency into patch management operations.
What High-Performing Manufacturers Do Differently
While expanding AI tools can improve the efficiency and speed of individual processes, to uncover the true value of automation, manufacturing leaders should ask questions focused on tangible patching outcomes.
- Do remediation efforts still depend on manual coordination, and if so, where?
- How much time is drained by approvals, testing, and maintenance windows?
- Are patching workflows covering all critical IT, OT, and third-party assets?
- Can patching operations match the speed of modern threat timelines without interrupting production?
- Are success metrics focused on deployment activity alone or actual risk reduction?
The manufacturers making the most progress are not the ones deploying the most automation… they are the ones reducing friction between security and operations. Rather than treating remediation as a series of isolated tasks, they focus on streamlining the entire process from vulnerability identification through deployment and validation.
Automation Is the Foundation, Not the Finish Line
As manufacturers across the board continue on the path towards modernized security architectures to keep pace with the evolving threat landscape, automation remains a game-changing technology for IT and security teams. But partially automated workflows only take teams so far and cannot solve today's patch management challenges.
Manufacturing leaders need to shift their focus from automating specific tasks towards building more mature, resilient, and scalable patch management programs. Manufacturers who successfully reduce risk will be the ones that can coordinate security and operations most effectively, removing the friction that slows remediation while preserving the uptime and reliability their businesses depend on.
In manufacturing, automation only creates value when it helps teams reduce risk without slowing production.
