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Closing the Confidence Gap: The Missing Link Between Risk Ownership and Resilience

October 22, 2026 | By Travis Howerton
Closing the Gap - Missing link between risk ownership and resilience

Enterprise risk owners are highly motivated professionals that only want what’s best for their organization. But whether they are empowered to deliver is another matter. Risk is complex, fast moving, and spread out across the enterprise. Owners need to understand what to do as soon as something doesn’t look right. It’s not good enough to wait until audit time. 

Gartner research underscores their challenges. It claims that 88% of enterprise risk owners are highly motivated to fulfill their responsibilities, but just 35% feel confident in their ability to do so.  

Unless they’re able to link risk to controls, and then have a seamless way to check and correct drift, the confidence gap will remain and enterprise resilience will suffer. 

Why Audit Time Is No Match for Real Time     

For the last five years, two kinds of vendors have tried to convince you that you never need to lGartner is pretty clear about why risk owners have low confidence in their ability to fulfil their responsibilities. It says: 

“Risk ownership has become more challenging as risks are increasingly interconnected, fast-moving and cross-functional, leaving little room for delayed recognition or reactive responses. Most critical risk decisions occur outside audit’s direct oversight, so traditional audit methods alone cannot close assurance gaps that worry executive leaders.” 

It’s right on all counts. Risks rarely stay ringfenced in one part of the business. A security risk like a data breach is also a privacy risk, and it may snowball quickly into regulatory, financial and reputational risk. Technology systems are tightly interconnected, meaning a problem in one component might affect multiple applications and services. Supply chain dependencies add further complexity and extend risk outside the organization. 

This risk increasingly moves at machine speed. AI is accelerating reconnaissance and exploitation, as well as enabling adversaries to scale attacks, to the point where many security teams are overwhelmed. New configurations can happen by the minute or hour, potentially exposing the organization to new risks every time something changes. Employees add unpredictability and risk when they use unsanctioned tools. In the meantime, regulatory requirements continue to evolve. 

All of this change happens more frequently than traditional risk assessments or audits, which are often quarterly or annual. They end up adding time and cost, and are only effective in planning, not prevention. 

Unless risk owners have real-time insight into the impact of such changes, the confidence gap will remain, risk will multiply, and resilience will erode. This is where continuous controls monitoring (CCM) comes in. 

Connecting Risk to Controls    

Risk is ultimately managed through the controls a GRC team puts in place. So when those controls drift away from their baseline, it can increase exposure to risk. Consider multifactor authentication (MFA), a control put in place to protect privileged accounts. If a configuration change means that some of those accounts are no longer covered by MFA, the control has drifted, and they are at a greater risk of being compromised. 

A CCM approach would continuously collect evidence from across the enterprise IT environment—including security tooling, cloud telemetry, DevOps pipelines, IT monitoring and ops tools—and connect it to the relevant controls. It checks that evidence against the control requirements and assesses whether they’re aligned. If not, it can trigger alerts to the risk owner, issue a POA&M, and auto-generate tickets in the enterprise ITIL platform of choice. 

AI agents can take this approach a step further by connecting controls directly to the relevant risks so teams can see the impact in real time. For example, if you have a control in your DevOps pipeline to prevent public access to a sensitive resource and that control fails, with CCM you could see an immediate impact on risk. Because they are connected, control failures can directly inform risk calculations in real time rather than waiting until the next risk assessment. 

A Cyber GRC platform like RegScale that delivers CCM also offers a single place for risk owners to view and manage these events, consolidating signals that might otherwise be scattered across siloed tools and locations. And it happens at the speed of business, meaning issues are detected immediately, rather than being left to fester and grow until audit time. 

Resilience and Confidence  

The time between risk identification and exploitation is rapidly accelerating in an AI-native world.  Risk owners need tools that empower them to act in real time. Tools which deliver clear visibility into control drift help them prioritize and remediate risk exposure before it has time to worsen. Tools that provide better understanding of the root causes of risk. And, ultimately, tools that support improved business resilience because problems are addressed early and pro-actively. 

Get in touch today to find out how RegScale can eliminate the confidence gap for your risk owners. 

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