CQ | The Cyber Crisis That Doesn’t Start With a Hacker: Hidden Technology Chain Risks in Operational Risk Management

When we think of cyber crises, the classic image is that of a hacker breaking into the system. But what happens when the source of vulnerability is a legitimate software update or a common technology dependency?

In a digitized world, operational risks can take unexpected forms, and the domino effects generated by the digital supply chain can impact the entire organization without any attacker in sight. For professionals managing operational risk, visibility and assessment of hidden connections are becoming strategic imperatives.

Why Cyber Risks No Longer Look Like They Used To

The classic cyber risk paradigm, focused on deliberate attacks, is being outpaced by the current complexity of digital ecosystems. Major impact events can be triggered by non-malicious factors: a globally distributed software update, a change to an API used by dozens of vendors, or even a procedural error in a shared cloud service. These incidents do not involve hostile intent, but can cause massive disruptions, with effects that rapidly propagate through the organization’s technology chain.

The Digital Supply Chain and Automated Decision-Making: Context and Current Realities

Accelerated digitalization has extended the classic supply chain to include software, data, and cloud infrastructure. Modern organizations depend on dozens or even hundreds of vendors and integrators, each with their own update processes, patch management, and security policies. At the same time, automated decision-making—whether through RPA or AI/ML systems—introduces a new source of systemic risk: automated decisions instantly propagated through critical processes, without direct human oversight.

This context creates an ecosystem with interdependencies that are difficult to map, where a minor change at one node can trigger domino effects across the entire organization or even between organizations. The risk is no longer just a “single point of failure” but becomes a network risk, with multiple points of propagation.

Practical Implications: Identifying and Managing Hidden Connections

Traditional operational risk management, based on asset inventories and assessment of known vulnerabilities, is no longer sufficient. To effectively manage emerging risks, professionals must adopt continuous risk assessment methods and develop end-to-end visibility capabilities across the technology chain.

Critical Areas to Monitor

• Hidden software dependencies: Libraries, APIs, or modules used indirectly, which can introduce vulnerabilities beyond the organization’s direct control.
• Automated processes: AI/ML or RPA decision flows that can rapidly amplify a minor incident to an organizational scale.
• Shared vendors: Cloud or SaaS services used by multiple entities within the same ecosystem, increasing the risk of simultaneous incident propagation.

Recommended Methodologies and Tools

• Dynamic dependency mapping: Using dependency mapping and software bill of materials (SBOM) tools to identify hidden relationships between components.
• Risk propagation simulations: What-if analyses and resilience exercises to assess the potential impact of changes or non-malicious incidents.
• Continuous monitoring and contextual alerting: Monitoring systems that can correlate events from multiple sources to flag anomalies that might otherwise go unnoticed.

Proactive Strategies for Operational Risk Management in Digital Ecosystems

Organizations that treat operational risk solely as an IT security issue will be caught off guard by crises triggered by non-malicious factors. A robust approach entails:

1. Integrating digital supply chain risk assessment into enterprise risk management and governance processes.
2. Establishing strong partnerships with vendors for transparency regarding update and patch management processes.
3. Investing in tools for visibility and analysis of technology dependencies, including integrated AI/ML components.
4. Regularly testing operational resilience through tabletop exercises focused on non-malicious scenarios.

In conclusion, the maturity of operational risk management in the digital age is measured not only by the ability to respond to external attacks, but also by the capacity to anticipate and manage domino effects generated by hidden connections in the technology chain. Visibility, continuous assessment, and inter-organizational collaboration become essential pillars of resilience.

(This material was assisted by an AI tool and reviewed by our team before publishing).