Why Manual Patching Is a Critical Risk for Financial Institutions

Why Manual Patching Is Becoming a Critical Risk for Financial Institutions

Financial institutions depend on a large and interconnected technology environment to support digital banking, payments, customer data, branch operations and other essential services.

This environment may include thousands of servers, operating systems, applications, databases, virtual machines, cloud resources and network devices. Each technology component must be kept secure and up to date, often across production, development, testing and disaster recovery environments.

However, patching in many organisations still involves a significant amount of manual work.

IT teams may need to identify affected systems, obtain approvals, coordinate maintenance windows, run pre-checks, install patches, restart services, validate system health and prepare reports. When these steps are performed separately across different teams and tools, patching becomes slow, inconsistent and difficult to track.

The challenge is not simply whether an organisation can install a patch. The more important question is whether it can deploy the right patch to the right systems, within the required timeframe, while controlling operational risk and producing reliable evidence of every action taken.

For financial institutions, that is both an operational and regulatory concern.

The Hidden Pain Points of Manual Patching

1. Patches may not be deployed consistently

Manual procedures depend heavily on individual administrators following the correct sequence every time. A missed server, an outdated checklist or an incorrect command can leave parts of the environment exposed.

Two systems that began with the same configuration may gradually receive different updates. This creates configuration drift and makes it harder for IT teams to determine which systems are genuinely protected.

2. Remediation takes too long at enterprise scale

A manual process that works for ten servers may become impractical across hundreds or thousands of systems. When a serious vulnerability is disclosed, teams must act quickly, but still need to test the patch, obtain approval and reduce the risk of disrupting critical services.

As the number of systems grows, available patching windows may not be sufficient. Teams can end up carrying an expanding backlog of vulnerabilities while spending nights and weekends on repetitive tasks.

3. Human error can cause service disruption

Patching is rarely a single action. It can require dependency checks, backups, service shutdowns, installation, reboots and post-patch validation.

If these steps are executed in the wrong order, or differently between environments, an otherwise routine patch can affect system availability. In banking, even a short disruption may interfere with customer transactions, internal operations or regulatory reporting.

4. Audit evidence becomes fragmented

Financial institutions must be able to show what was approved, which systems were patched, when the changes occurred, whether they succeeded and how exceptions were managed.

When records are distributed across spreadsheets, emails, service desk tickets and individual administrator logs, compiling evidence for management, risk teams or auditors becomes time-consuming. It may also be difficult to prove that the approved process was followed consistently.

5. Skilled employees spend too much time on repetitive work

Experienced IT professionals should be focused on resilience, architecture, security improvement and transformation. Instead, manual patching can consume significant time through repetitive execution, status checking and report preparation.

This does not only increase operating cost. It can also delay higher-value projects and make the organisation more dependent on a small number of employees who understand the existing process.

Why This Matters Under BNM RMiT

Bank Negara Malaysia issued its revised Risk Management in Technology (RMiT) Policy Document on 28 November 2025. The revised policy aims to strengthen financial institutions’ management of technology and cyber risks, improve service availability and resilience, and maintain public trust in the financial system.

The policy places clear attention on patch and end-of-life system management.

Under paragraph 10.17, a financial institution must ensure that its systems and digital services are not operating with known security vulnerabilities, outdated platforms or end-of-life technology. It must maintain an up-to-date security-hardening baseline and continuously monitor and implement the latest patches in a timely manner.

Under paragraph 10.18, the institution must establish a patch and end-of-life management framework covering:

• identification and risk assessment of technology assets;

• patch prioritisation and turnaround times based on vulnerability severity;

• compatibility testing before deployment;

• an end-to-end workflow covering approval, testing, monitoring and tracking; and

• user awareness to support an orderly transition.

These requirements show that patch management is not limited to installing updates. Financial institutions need a governed and repeatable process that connects asset visibility, risk assessment, approvals, testing, deployment, verification, exception handling and reporting.

Manual processes may still be used, but they become increasingly difficult to scale and control across a complex environment. Enterprise automation can help turn the institution’s approved patching policy into a standardised operational workflow.

Automation does not by itself guarantee RMiT compliance. Governance, accountability, testing, risk assessment and oversight remain the responsibility of the financial institution. However, automation can provide stronger consistency, traceability and control to support those obligations.

How Enterprise Automation Strengthens Patch Management

Red Hat Ansible Automation Platform can help financial institutions orchestrate patching through standardised and reusable automation workflows.

Instead of relying on administrators to repeat a long list of manual steps, the organisation can define the approved process as automation content and apply it consistently across relevant systems.

Standardised execution

The same approved workflow can be applied across environments, reducing variation between administrators, business units and locations. Pre-checks, patch installation, reboots and post-patch validation can be executed in a controlled sequence.

Risk-based scheduling

Systems can be grouped according to factors such as criticality, environment, business service and patch severity. This supports staged deployment, beginning with test or lower-risk environments before moving to critical production systems.

Built-in approvals and access control

Automation workflows can be integrated with existing change-management procedures. Role-based access can restrict who is authorised to launch, approve or modify a patching job, helping the institution maintain segregation of duties.

Better visibility and evidence

Centralised job records can show which systems were targeted, what actions were performed and whether each task succeeded or failed. This gives operations, security, risk and audit teams a more reliable view of patching progress and exceptions.

Faster recovery from failure

Automation can detect failed steps, stop the workflow when defined conditions are not met and notify the responsible team. It can also support consistent validation and approved recovery actions, reducing the time required to identify and respond to an unsuccessful deployment.

Reusable automation beyond patching

Once a governed automation foundation is established, the same platform can support security hardening, configuration enforcement, server provisioning, change tracking, disaster recovery operations and network automation. This allows the institution to expand automation gradually while maintaining common controls.

Real-World Case Analysis: AFFIN Bank, Malaysia

AFFIN Group is a Malaysian financial institution serving retail, corporate and Islamic banking customers. Its nationwide operations are supported by a large and complex IT infrastructure.

According to Red Hat’s 2025 APAC Innovation Awards, AFFIN recognised the need to improve operational efficiency, reduce manual errors and maintain more consistent compliance through automation.

By adopting Red Hat Ansible Automation Platform, the bank automated server patching, change tracking and disaster recovery processes that had previously been time-consuming and susceptible to manual error.

Red Hat reported that the initiative delivered several operational improvements:

• reduced patching time;

• fewer configuration errors;

• improved system reliability;

• stronger security and compliance;

• reduced downtime and operational risk; and

• greater capacity for employees to focus on innovation and strategic growth.

The case is especially relevant to other Southeast Asian financial institutions because it demonstrates that automation is not only a tool for accelerating IT work. When introduced with the appropriate governance, it can support security, service reliability and compliance across complex banking operations.

Key lesson

The greatest benefit does not come from automating one isolated command. It comes from standardising the complete operational process—from approval and testing to deployment, validation and reporting.

That is what turns patching from a repetitive maintenance task into a controlled capability for reducing technology risk.

What Happens If Financial Institutions Continue Relying on Manual Patching?

Without a scalable and standardised approach, institutions may face:

• longer exposure to known vulnerabilities;

• inconsistent security baselines across systems;

• missed or delayed patching windows;

• higher risk of human error and unplanned downtime;

• limited visibility of patch status and exceptions;

• difficulty producing complete audit and compliance evidence;

• greater dependence on individual administrators; and

• less time for teams to focus on resilience and transformation.

As technology environments continue to expand across data centres, cloud platforms and edge locations, these risks will become harder to manage through additional manual effort alone.

Moving from Manual Tasks to Governed Automation

Financial institutions do not need to automate their entire environment at once. A practical journey can begin with one high-volume, rules-based process such as server patching.

The organisation can first document the existing workflow, identify control gaps, define approval and exception requirements, and select a suitable group of systems for a controlled pilot. The automation can then be tested, measured and expanded in stages.

Important success measures may include:

• patch completion time;

• percentage of systems patched within the required window;

• failure and rollback rates;

• number of manual steps removed;

• time required to prepare management or audit reports; and

• number and age of approved exceptions.

This approach allows the institution to demonstrate measurable value while building internal confidence, skills and governance for broader enterprise automation.

Why Malaysian Enterprises Choose Wiki Labs

Wiki Labs helps organisations simplify complex IT operations and build sustainable automation capabilities.

With more than 17 years of enterprise technology experience, over 100 enterprise customers and extensive involvement across banking, financial services, insurance, telecommunications and government-linked organisations, Wiki Labs understands the operational and governance requirements of mission-critical environments.

As a Red Hat Premier Business Partner, Wiki Labs supports organisations through its Consult, Build, Operate and Transfer (CBOT) approach:

• Consult: Assess existing processes, risks, priorities and automation readiness.

• Build: Design and implement reusable automation aligned with operational controls.

• Operate: Support adoption, optimisation and reliable day-to-day execution.

• Transfer: Equip internal teams with the knowledge and capability to sustain and expand automation.

Whether the starting point is patching, security hardening, provisioning, disaster recovery or network operations, the goal is not simply to automate more tasks. It is to build a more consistent, secure, auditable and resilient operating model.

Is Your Patching Process Ready to Scale?

If patching still depends on spreadsheets, repeated commands and late-night coordination, the issue may no longer be a shortage of effort. It may be a limitation of the operating model.

Wiki Labs can help your organisation assess its current patching workflow, identify suitable automation opportunities and develop a practical roadmap aligned with business, security and regulatory priorities.