28 nov. 2025
Explore why script-driven automation fails under NIS2 and DORA regulations. Learn how liability, fragility, and a lack of audit trails make a shift to governed NCM platforms essential for modern network compliance and security.
rConfig
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The Inevitable Obsolescence of Script-Based Automation
For years, custom scripts were the mark of a resourceful network engineer. Tools built with Python and libraries like Netmiko represented a significant leap forward, empowering teams to automate repetitive tasks and manage configurations with newfound efficiency. This was a necessary and innovative first step, born from a need to tame growing network complexity. But that era is over.
A new global standard of regulatory pressure, exemplified by frameworks like Europe’s NIS2 Directive and the Digital Operational Resilience Act (DORA), has fundamentally raised the stakes. These are not merely regional concerns; they signal a worldwide shift toward stringent, non-negotiable IT governance. The very characteristics that made scripts flexible and powerful—their ad-hoc nature, lack of built-in oversight, and reliance on individual expertise—now render them a significant liability.
This article will demonstrate why the reliance on script-driven automation is unsustainable in this new environment. We will explore its failures in compliance, its operational fragility, and the legal exposure it creates. More importantly, we will outline the clear path forward: a transition to governed, secure, and identity-aware platforms. The end of script-driven automation is not a matter of technical preference; it is a strategic inevitability.
Why Scripts Fail Modern Regulatory Scrutiny
When an auditor asks for proof of compliance, a folder of Python scripts is not an acceptable answer. Modern regulations demand verifiable, systematic control, something fundamentally at odds with the nature of custom scripting. The requirements for NIS2 compliance NCM and DORA network configuration management are built on pillars that scripts simply cannot support.
Let's be direct about where they fall short:
Immutable Audit Trails: Regulations require a tamper-evident, chronological log of every action taken on the network. Who made the change, what was altered, when did it happen, and was it authorized? A script that prints its output to a console or a simple text file offers zero assurance. These logs can be easily modified, deleted, or may lack the critical metadata needed for a forensic investigation. They are not a credible source of truth.
Identity-Based Access Control: Every configuration change must be attributable to a unique human identity. This is a core tenet of modern security. Scripts often operate using shared service accounts or, worse, hardcoded credentials. When a change is made, who is accountable? The script? The server it ran on? This ambiguity makes it impossible to enforce the principle of least privilege and creates a gaping hole in your security posture.
Verifiable Incident Response: In the event of an outage or a breach, regulators and stakeholders will demand to know how and when systems were restored to a known-good state. A collection of scripts provides no structured proof of recovery. A governed platform, by contrast, maintains structured change logs that prove exactly which configuration was active at any given time. For a clear picture of what this looks like, you can see how platforms enable real-time network change monitoring with complete context.
Relying on scripts is no longer just a technical decision. It is an explicit acceptance of compliance risk. In the face of regulations like NIS2 and DORA, that is a risk few organizations can afford to take.
The Compounding Risks of Technical Fragility and Liability

Beyond regulatory failure lies a more immediate danger: operational and legal liability. The technical shortcomings of scripts translate directly into tangible business risk. In a post-breach investigation, the absence of formal change control and traceability leaves engineering teams and their leadership dangerously exposed. When you cannot prove who did what and when, you cannot demonstrate due diligence.
This exposure is magnified by what can only be called technical fragility. We’ve all seen it. A minor device OS update or a subtle API change is all it takes to break a critical automation script. These failures are unpredictable and can trigger cascading outages that are difficult to diagnose under pressure. The inherent Python NCM limits become painfully clear during a late-night troubleshooting session where the automation that was supposed to help is now the root cause of the problem.
This fragility creates an unacceptable level of risk for critical infrastructure. The contrast between an ad-hoc script and a governed platform is stark.
Risk Factor | Script-Driven Approach | Governed NCM Platform |
|---|---|---|
Change Control | Ad-hoc, manual, and inconsistent | Formal, workflow-driven with approvals |
Traceability | Minimal to non-existent; relies on manual logs | Immutable, identity-based audit trail for every action |
Rollback Capability | Manual, error-prone, requires another script | Automated, one-click restoration to a known good state |
Incident Response | Slow, forensic guesswork to find root cause | Rapid, data-driven analysis via centralized logs |
Liability | High; difficult to prove diligence or assign cause | Low; provides auditable evidence of control and process |
A governed platform transforms change management from a high-risk activity into a controlled, reversible process. Features like configuration versioning and automated rollbacks are not luxuries; they are essential risk mitigation tools. With a platform that provides rollback version control, a problematic change can be reverted in seconds, not hours, containing the blast radius of any incident.
Operational Bottlenecks and the Single-Engineer Dependency
The risks of script-driven automation extend beyond technology and into the very structure of your team. This approach creates a critical business continuity risk known as the "bus factor." When your entire automation framework exists only in the minds of one or two senior engineers, your organization is perpetually one resignation or vacation away from a crisis. This dependency makes it impossible to scale automation safely, as knowledge cannot be delegated without extensive, time-consuming documentation and training.
This model creates hidden costs that executives often overlook:
Mounting Technical Debt: Every new script, every quick fix, and every workaround adds to a growing maintenance burden. Instead of focusing on strategic initiatives, your most skilled engineers are trapped in a cycle of fixing brittle, undocumented code.
Lack of Scalability: Automation remains a niche, artisanal craft instead of a standardized, organizational capability. It cannot be safely extended to junior team members or other departments, limiting its impact and creating a permanent bottleneck.
Inhibited Innovation: When your best minds are consumed with keeping the lights on, they have no capacity to explore new technologies or develop forward-thinking solutions. The very tool meant to create efficiency ends up stifling progress.
This is not a theoretical problem. As highlighted in a report from Enterprise Management Associates (EMA), even the engineers who build these scripts recognize their limitations. The report, From Scripts to Platforms, notes that maintenance and security are seen as major drawbacks of do-it-yourself scripting. This industry-wide acknowledgment confirms that the operational strain is real and unsustainable, directly impacting team efficiency, scalability, and talent retention.
The Shift to Governed, Identity-Driven Platforms

The solution is not to abandon automation but to evolve it. The future lies in a fundamental shift toward platforms built on a foundation of network automation governance. This new paradigm moves automation from an uncontrolled, ad-hoc activity to a secure, auditable, and scalable business process. At the core of this model is identity-driven Network Configuration Management (NCM).
Modern NCM platforms integrate directly with enterprise identity providers like Active Directory, LDAP, or SAML. This allows for the enforcement of granular, role-based access control (RBAC), ensuring that users can only perform actions and view information appropriate to their roles. Every action is tied to a unique, verifiable human identity, eliminating the dangerous ambiguity of shared accounts. This is the bedrock of accountability.
These platforms establish a single source of truth for all network configurations, policies, and operational states. By centralizing this information, they eliminate configuration drift and provide a definitive repository for audit and analysis. This is what "full audit control" means in practice: an immutable, easily searchable log of every login, every command executed, and every change made across the entire network infrastructure. With this level of visibility, answering an auditor's questions becomes a matter of running a report, not digging through server logs. Even automated tasks are executed within this secure framework, ensuring that every action adheres to strict access policies and logging requirements, as seen in platforms that product-automate network operations securely.
Architecting the Future of Network Management
The path forward requires a new way of thinking about network architecture. The era of monolithic, siloed tools is giving way to distributed, scalable platforms designed for global operations. These modern NCM tools are built to manage tens of thousands of devices across distributed data centers and multi-cloud environments, providing a unified control plane for even the most complex networks.
A key element of this evolution is the rise of vendor-supported open-source models. This approach offers the best of both worlds: the transparency, flexibility, and community-driven innovation of open source, combined with the reliability, security assurances, and dedicated support that enterprises require. It removes the burden of maintenance from your internal team while preserving the ability to customize and extend the platform to meet unique needs.
This modern architecture is designed to scale with your organization. For example, a platform can start with a single server for a small enterprise and grow into a distributed, multi-tenant solution with components like rConfig Vector, which is built specifically for the demands of large enterprises and Managed Service Providers (MSPs). This modularity ensures that the platform can adapt to your needs, whether you are managing a single campus or a global network. For organizations ready for this level of scale, exploring an enterprise-grade solution provides a clear blueprint for the future.
Ultimately, adopting a governed NCM platform is not just a technology upgrade. It is a strategic imperative for mitigating risk, ensuring compliance, and building a resilient network foundation for the years to come.
The End of Script Driven Networks: Compliance, Liability, and What Comes Next
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