VYPR
trendPublished Jul 16, 2026· 1 source

Vulnerability Remediation Gap Leaves Organizations Open to Exploitation

A significant disconnect exists between identifying software vulnerabilities and effectively fixing them, leaving many organizations exposed to known threats.

Organizations are increasingly adept at discovering software vulnerabilities, with scanning tools becoming more sophisticated and pervasive. However, a recent survey by Vicarius reveals a critical gap that emerges after the discovery phase: the complex and often human-dependent process of vulnerability remediation. This gap, characterized by delays in assigning, approving, deploying, and confirming fixes, allows attackers to exploit known weaknesses, leading to security incidents.

The survey, which polled 300 IT and cybersecurity leaders in the US and UK, found that a substantial 58% of remediation activities still require direct human intervention. While automated discovery, scanning, and reporting are commonplace, the crucial steps of prioritizing, approving, and implementing fixes largely remain manual processes. Only a small fraction, 7% of organizations, have managed to remove human bottlenecks entirely, indicating a widespread reliance on human workflows for remediation.

A common point of friction is the separation of discovery and repair teams. In 82% of organizations, the team that identifies a vulnerability is not the same team responsible for fixing it. This necessitates handoffs and shared ownership, introducing delays and potential miscommunications. Compounding this issue, over a third of respondents reported that remediation ownership is often ambiguous or situation-dependent, leading to stalled progress as teams grapple with defining responsibility.

The initial response to a critical vulnerability frequently involves creating a ticket in systems like Jira or ServiceNow, a process cited by 42% of respondents. While this tracks the work, the vulnerability itself still needs to be prioritized, assigned, approved, fixed, and verified. Only about a quarter of organizations can deploy automated remediation directly from their security platforms, leaving the majority reliant on manual intervention, which can be slow and inefficient.

Interestingly, a small group of organizations has successfully automated remediation from discovery to verification, using a single integrated platform rather than the average of three tools used by others. These organizations also empower their frontline teams to fix findings without requiring further approval and adhere to a strict definition of "done," which includes a verified rescan. This streamlined approach, according to Vicarius CEO Roi Cohen, is the result of removing friction points that automation alone cannot address.

The consequences of this remediation gap are stark: 79% of organizations experienced a security incident in the past year that was tied to a vulnerability already present in their inventory. For about half of these incidents, the vulnerability had been known for 30 to 90 days, highlighting how attackers can leverage the lag between discovery and patching. The speed at which attackers, potentially aided by AI, can scan for and exploit known weaknesses exacerbates this problem.

Furthermore, the definition of "fixed" varies significantly. While half of organizations consider a vulnerability resolved only after a fix is deployed and verified by a rescan, the other half rely on less stringent indicators like patch deployment without confirmation or formal risk acceptance. This looser definition directly correlates with a higher likelihood of breaches. Organizations with the most lenient definitions were nearly 40% more likely to suffer an incident from a known vulnerability compared to those requiring verified rescans.

The primary obstacles to effective remediation are organizational and process-related. Competing priorities, where vulnerability management loses out to urgent operational tasks, are the most cited issue. Approval processes and change management steps also introduce significant delays, even when the fix itself is known. Ultimately, the study underscores that robust detection is only half the battle; efficient and definitive remediation processes are critical to preventing known vulnerabilities from becoming exploitable entry points for attackers.

Synthesized by Vypr AI