Copia Adds Generative AI to DeviceLink for Code Visibility

Copia Automation announced the integration of generative AI into its DeviceLink, an automated backup and disaster recovery platform, aiming to give manufacturers clearer insight into changes across PLCs, HMIs, and robot programs. The update is designed to improve operational visibility, security, and compliance in industrial automation environments that are increasingly vulnerable to cyber threats.

DeviceLink runs on the manufacturing network to pull device data, schedule backups, and securely transmit them via outbound HTTPS to Copia servers. Image used courtesy of Copia Automation

AI Summaries for Complex Industrial Code

The new Copia AI automatically translates complex industrial control code modifications into human-readable summaries. These concise descriptions highlight what logic was modified, added, or removed, and are embedded directly within change notifications, job histories, and Git-based workflows. The goal is to enable engineers and security teams to quickly assess the impact of any code change without having to manually analyze large codebases.

According to Alexander Wurm, Principal Analyst at Nucleus Research, Copia's use of AI aligns with what customers want: it keeps people involved in the process while simultaneously making complex code changes easier to understand, which directly helps reduce the cost of downtime.

DeviceLink automatically detects and proactively notifies users about machine-level program modifications via in-app alerts or email. Image used courtesy of Copia Automation

Addressing Cybersecurity Risks in OT Environments

The timing of Copia AI’s release aligns with growing industry concern over ransomware and other cyberattacks targeting operational technology (OT). In many industrial environments, restoring systems from verified backups is often the last defense against downtime. Copia AI in DeviceLink seeks to make that process more efficient by clarifying exactly what changes occurred before an incident and helping identify unauthorized modifications faster.

The integration also supports compliance efforts with frameworks such as the European Union’s NIS2 Directive and ISO 27001. By making it easier to audit code changes and verify integrity, Copia’s system aims to help manufacturers demonstrate adherence to cybersecurity and operational standards.

DeviceLink enhances code visibility using Copia's Git-based source control to visually track and highlight changes between code versions. Image used courtesy of Copia Automation

The Impact of AI in Industrial Automation

Sebastián Trolli, Head of Research for Industrial Automation and Software at Frost & Sullivan, characterized the integration as a step toward merging operational technology resilience with code lifecycle management: “Instead of guessing what triggered downtime, manufacturers now see every action in plain language, including potential risks, failed logic, and unauthorized edits.”

While generative AI is becoming increasingly common in automation platforms, the measurable benefits for manufacturers are still developing. Many industrial organizations are exploring AI to improve visibility and operational efficiency, but achieving tangible gains depends on how well these tools integrate into existing workflows. Effectively translating AI-generated summaries into actionable insights requires accurate data, clearly defined human oversight processes, and alignment with cybersecurity and maintenance priorities.

For manufacturers managing legacy systems alongside growing security and compliance requirements, combining automated backups with AI-generated code summaries may provide concrete advantages. The approach can enhance situational awareness, accelerate investigations, and reduce downtime following incidents. However, the adoption of AI in industrial automation is still at an early stage, and solutions such as Copia’s update should be seen as a practical step toward greater code transparency and operational risk management rather than a complete solution.