Operational risk is the risk of losses caused by internal shortcomings, human errors, or system failures. In an information security context, it also includes cyberattacks, data breaches, and system disruptions that directly threaten the availability, safety, and privacy of digital information.
This post collects practical operational risk examples you can use as prompts when building or reviewing a risk register. If you are starting from scratch, this can give you a strong first pass. If you already have a risk register, it is a useful way to spot gaps you may have missed.
Example Operational Risks for GRC
- Critical third-party SaaS outage: Outage of a critical third-party SaaS platform leading to service disruptions. Reliance on external tools such as CRM systems or collaboration platforms can result in downtime or missed deliverables.
- Remote internet connectivity issues: Poor internet connectivity in remote work environments leading to reduced employee productivity. Slow or unreliable home internet can delay projects, disrupt communication, and affect client satisfaction.
- Cloud infrastructure downtime: Server or cloud infrastructure downtime leading to disruption of customer-facing services. Unexpected failures in cloud or on-premise infrastructure can directly affect service delivery and customer trust.
- Data synchronization failures: Data synchronization errors across systems leading to incorrect or incomplete customer information. Integration failures between systems such as CRM and ERP tools can result in missing or inconsistent data.
- Internal process inefficiencies: Inefficient internal processes leading to delays in meeting client deliverables. Operational bottlenecks, unclear workflows, or excessive manual work reduce delivery capacity.
- Vendor lock-in risks: Over-reliance on a single vendor leading to operational paralysis during vendor downtime. Sole-provider dependency magnifies the effect of the vendor’s failure or outage.
- Remote work scheduling issues: Mismanaged remote work schedules leading to employee burnout or disengagement. Weak work-life boundaries and poor scheduling practices reduce productivity and increase turnover risk.
- Resource forecasting errors: Failure to forecast resource needs accurately leading to understaffing during peak workloads. Poor forecasting leaves teams unprepared for important work and increases the likelihood of missed deadlines.
- IT ticket prioritization failures: Improper prioritization of IT tickets leading to unresolved high-priority issues. Without clear triage, operationally important problems stay open too long.
- Infrastructure redundancy gaps: Insufficient redundancy for key infrastructure leading to prolonged downtime during failures. Missing backups or failover options extend outages.
- Delayed software updates: Delayed software updates leading to compatibility issues with third-party services. Failure to keep systems current can break integrations and interrupt work.
- Workflow documentation gaps: Failure to document workflows adequately leading to operational inefficiencies during employee turnover. Without documentation, new hires and temporary replacements cannot keep work moving cleanly.
- Data migration losses: Loss of critical data during migration projects leading to operational delays. Corrupted or missing data can stall work and damage deliverable quality.
- Misallocated resources: Misallocation of resources leading to underperformance in priority projects. Too much focus on low-priority work can starve important initiatives.
- Vendor payment delays: Delays in vendor payments leading to service suspensions. Payment failures can trigger paused access or support interruptions from key suppliers.
- Inventory management failures: Poor inventory management leading to delays in hardware repairs or replacements. A lack of spare equipment can extend outages and slow recovery.
- Remote collaboration tool failures: Failure of remote collaboration tools during critical meetings leading to project delays. Video conferencing, shared drives, or chat failures can interrupt decision-making.
- High employee turnover: High employee turnover leading to loss of institutional knowledge and reduced operational efficiency. Frequent departures weaken continuity and increase onboarding drag.
- Lack of disaster recovery planning: Inadequate disaster recovery planning leading to prolonged service outages during crises. Without recovery plans, the organization struggles to restore operations after major incidents.
- Client expectation mismanagement: Mismanagement of client expectations leading to dissatisfaction or loss of business. Unrealistic delivery commitments can damage trust and renewal chances.
- Server load balancing issues: Poor load balancing of server infrastructure leading to degraded performance during peak times. Uneven traffic distribution slows services and harms user experience.
- Project progress tracking gaps: Failure to track project progress adequately leading to missed deadlines. Without current status visibility, delays accumulate before anyone reacts.
- Tool integration disruptions: Poor integration of newly acquired tools or services leading to operational disruptions. Weak rollout and implementation planning can create compatibility issues and adoption friction.
- Unmonitored performance metrics: Lack of monitoring for operational KPIs leading to unaddressed performance declines. If performance is not measured, slow deterioration can go unnoticed.
- Remote security protocol failures: Failure of remote work security protocols leading to delays in incident resolution. Security issues in distributed environments can take longer to detect and contain.
Download the Example Operational Risks
You can download the full example operational risk list as a CSV file directly, with no credit card, email, or other payment required.
This resource is intended to help teams build a stronger information security and operational risk management foundation across frameworks such as ISO 27001, NIS 2, and DORA.