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The 4 tech risks every CTO must score before the next board meeting

Michał Kopacki
10 min read
IT engineer reacting to a system security breach shown on monitoring screens, highlighting cybersecurity risk.

Can your leadership trust your tech stack?

During every board meeting, there’s a moment when the questions turn technical. Someone asks about downtime, cloud costs, or security compliance, and suddenly the slides stop, all eyes turn to the CTO. Can the leadership team trust that the company’s technology is resilient, secure, and cost-efficient?

In this article, we’ll examine the four primary risks that form the backbone of a modern IT governance framework. And how to assess each one using the same approach we apply in our Diligence readiness audit.


Why does technology risk management matter more than ever?

Modern tech stacks change faster than most governance frameworks. Distributed systems, cloud adoption, and AI have created thousands of potential failure points. Boards want clarity, not jargon. They want numbers, trends, and readiness scores.

A consistent risk assessment process helps you translate engineering complexity into something business leaders understand. It connects DevOps maturity with financial control and turns risk from a fear into a management tool.

Data security & compliance: Reducing IT security risk

Ask one simple question: “Can we prove our data is protected and compliant right now?” Strong security starts long before a firewall comes into play. It depends on consistent access rules, encrypted communication, and regular permission reviews. Every credential and key rotation builds a layer of reliability, and each incident log tells part of the story about how well the system is being managed.

Frameworks such as ISO 27001, SOC 2, and GDPR set the minimum expectations for compliance. The moment a company introduces AI or machine learning, another responsibility appears, which is maintaining visibility into how data is collected, processed, and used. An AI governance framework helps teams document these flows and keep model behavior explainable.

Security problems rarely strike out of nowhere. They develop quietly over time through skipped updates, forgotten admin accounts, or one access shortcut that never got reviewed. A structured, regular audit keeps those small oversights from turning into front-page incidents.

System Resiliency & Recovery: Managing infrastructure risk

A solid recovery plan can’t live only in documentation. It has to be tested, adjusted, and rehearsed until everyone knows what to do when systems fail. Teams that set clear RTO (Recovery Time Objective) and RPO (Recovery Point Objective) targets have a practical measure of readiness. Backups only help when they’ve been verified, and recovery drills show whether procedures actually work.

In early 2017, GitLab.com experienced a severe database failure that kept the platform offline for several hours. A spike in database load, failed replication, and an accidental command removed the production database instead of the test one. Several hours of user data were lost, including projects and accounts. The story remains one of the clearest lessons in DevOps: resilience comes from tested recovery, not assumptions.

Cloud costs & FinOps: Financial risk in software delivery

FinOps creates a shared language between engineering, finance, and product. It makes cloud spending measurable and predictable. Start with clear tagging rules, automated cost alerts, and visibility into how resources map to features or customers.

Unmonitored resources are more than a budget problem. Idle instances and unused storage often carry security risks, too. Visibility into usage reduces both financial waste and operational exposure. FinOps enables a better understanding of where the money goes and ensures it aligns with business priorities.

Process & automation: Reducing IT project risk

Most delivery problems hide in the spaces between tools and people. The more steps that depend on manual actions, the greater the chance of something going wrong. Automation creates consistency. Clear testing and solid documentation keep the process reliable over time.

When releases depend on who’s available rather than on how the process is designed, projects become unpredictable. Well-built automation removes that uncertainty. It speeds up delivery, reduces rework, and helps teams build a product culture that scales instead of burning out.

CI/CD pipeline diagram illustrating continuous integration and continuous deployment in a cloud environment.

How to interpret your technology risk score?

Once the four pillars are scored, the data should tell a clear story. Kellton Europe’s Diligence Readiness Audit uses a simple model to visualize the result:

  • Low risk (under 15%) - a mature foundation.
  • Medium risk (15-30%) - areas that need structure improvements.
  • High risk (above 30%) - critical exposure requiring immediate action.

The score is just a starting point for decisions. It highlights where investment will have the most impact and which risks demand attention before the next review.

Technology risk scoring matrix showing low, medium, and high risk levels with percentage thresholds and recommended actions.

How does Kellton Europe approach technology risk management?

At Kellton Europe, risk management is part of how we build. Our DevOps audits evaluate systems across resiliency, security, FinOps, and process, translating technical data into practical metrics. We help companies understand their current state, prioritize improvements, and align engineering efforts with governance. For some teams, that means improving CI/CD reliability. For others, it’s about visibility into cloud spending or refining recovery plans. The goal is always clarity, which is knowing how technology supports business performance and where it needs reinforcement.

Next steps in managing IT project risk effectively

Run your own assessment using Kellton Europe’s Diligence Readiness Checklist, score each pillar, and share results across teams to align goals and action plans. For deeper insights, contact us! By the time the next board meeting arrives, you’ll not only have answers but also actual proof of readiness.

FAQ

  • What are technology risks?

    Technology risks are issues that can disrupt how digital systems perform, from downtime and data breaches to software bugs and failed integrations. In IT risk management, these risks are tracked and mitigated to protect business continuity and customer trust.
  • What are the 4 types of risk?

    The four main categories of technology risk are: resiliency, security, FinOps and process. Together they form a modern IT governance framework that helps organizations stay stable, compliant and cost-efficient.
  • What is an example of an IT risk?

    A common example is a cloud misconfiguration that exposes sensitive data or causes unexpected downtime. Other examples include failed backups, unpatched vulnerabilities or an over-budget cloud deployment.
  • What is risk management?

    Risk management is the process of identifying, assessing and reducing technology risks before they impact users or revenue. It combines proactive monitoring, security audits and recovery planning to keep systems reliable and compliant.
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Michał Kopacki

Senior Director - EU Practice Leader

Michał leads engineering teams across Europe, turning complex cloud and DevOps challenges into scalable, resilient platforms. When he’s not shaping infrastructure, he’s likely at the stables with his family.

A man standing in the office in front of the Kellton sign, wearing a black shirt and glasses.

Sebastian Spiegel

Backend Development Director

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