Why Cybersecurity Needs To Fix Faster, Not Just Find More

The cybersecurity landscape is evolving at an unprecedented pace, with attackers exploiting vulnerabilities in a matter of hours, rather than weeks. This shift has significant implications for defenders, who must now focus on closing the gap between detection and remediation. The traditional model of vulnerability management, which involves scanning, waiting, and patching, is no longer effective in today’s fast-paced environment.

The Challenge of Vulnerability Management

Most organizations detect thousands of vulnerabilities every month, but only a fraction are remediated before attackers can take advantage. This is because the bottleneck is no longer finding vulnerabilities, but rather fixing them quickly. The impact of this challenge is further exacerbated by the increasing use of AI-based tools by threat actors, which accelerates the pace and scale of attacks.

To address this challenge, industry experts are advocating for a shift from reactive defense to preemptive exposure management. This involves anticipating and neutralizing threats before they are weaponized, rather than waiting for a vulnerability to be exploited. Roi Cohen, co-founder and CEO of Vicarius, emphasizes the need for continuous visibility across assets, contextual scoring to highlight what truly matters, and automation to shrink remediation timelines from weeks to minutes.

The Importance of Context

Flat severity scores, such as CVSS, do not provide sufficient context to determine whether an issue is being exploited in the wild or whether it lives on a revenue-critical system. Michelle Abraham, research director for security and trust at IDC, notes that few organizations track all their IT assets, which is the critical first step towards visibility of the full digital estate. Once assets and exposures are identified, security teams are often overwhelmed by the volume of findings, underscoring the need for risk-based prioritization.

Cohen emphasizes the need to focus on context, blending exploit intelligence, asset criticality, and business impact. This approach separates noise from meaningful risk and enables organizations to prioritize remediation efforts effectively. Abraham adds that less than half of organizations use exposure prioritization algorithms, and siloed operations between security and IT create dangerous delays.

The Role of Artificial Intelligence

Artificial intelligence is a double-edged sword in the cybersecurity landscape. On one hand, attackers are using AI to scale phishing, mutate malware, and identify weaknesses. On the other hand, defenders can use AI to automate detection, prioritize intelligently, and generate remediation playbooks at machine speed. Cohen believes that AI is essential for remediation to be autonomous, contextual, and immediate.

However, not everyone is convinced. Richard Stiennon, chief research analyst at IT-Harvest, offers a dissenting view, noting that most organizations have mature vulnerability management programs that have identified problems in critical systems that are years old. He argues that sprinkling AI pixie dust on the problem will not make it go away, and that even the best AI vulnerability discovery and remediation solution cannot overcome corporate lethargy.

Building Trust in Automation

Even when organizations embrace automation, skepticism remains. A single mistimed patch can take down a business-critical system. There is some consensus that automation should be treated like onboarding a new team member: start with low-risk actions, enforce guardrails, and provide transparency. Over time, trust grows as automated workflows prove consistent and safe.

Lawrence Pingree of Dispersive argues that defenders must lean harder into prevention. He notes that detection and response is failing, and that vendors must build their backend signatures and systems to deliver prevention. This approach requires a fundamental shift in mindset, from reacting to threats to preventing them from occurring in the first place.

A Practical Path Forward

The advice from industry experts is consistent: unify workflows, automate obvious fixes, prioritize by context, and protect the patch gap with runtime controls and compensating defenses. Cohen sums it up simply: security teams don’t need to find more vulnerabilities, they need to shorten the gap between detection and mitigation. With attackers moving at machine speed, the only way forward is a preemptive strategy that blends human judgment with automated execution.