If I knew then what I know now: Vulnerability Management

In the cyber security world, you could say that we live in a state of blissful ignorance when it comes to vulnerabilities. Because they are all out there, sometimes for years, and provided they stay undiscovered, they may as well not exist.

But once they are exposed they suddenly change – overnight - into dangerous and potentially existential threats to your organization. The concept of a Zero Day Vulnerability is that, once understood, from this day forward we understand that a previously accepted version of a product or configuration setting combination is now very much, ‘Not OK’.

Vulnerabilities are mistakes. Unforeseen side-effects of the way in which a piece of software was created. What makes it vulnerable is that, if it is misused in just the right way, it can either be disrupted or infiltrated. Similarly, other vulnerabilities arise from misconfiguration, again, unanticipated abuse of some built-in functionality that allows unwanted access or operation.

So, despite extensive testing by the developer, unexpected ‘Doh!’s are baked into the version released and there they sit until somebody somewhere discovers that there is a vulnerability. Hopefully that someone is a researcher or pen tester, and not a devious hacker. Of course, not all vulnerabilities are as bad as others and with so many being discovered - thousands every month - it’s vital to take a step back and assess what matters to us.

In working out the answer to that question, of course we start with ‘Do we use any of the software affected by the new vulnerabilities?’ We can’t be hurt if we don’t even use the product and that logic is important as we get into the detail of configuration hardening and vulnerability management.

The danger is real

Feeling confident that you’re well-protected from cyber-attacks? Don’t be so sure. New vulnerabilities constantly surface — not from new features, but from old ones being manipulated in unintended ways.. Cybercriminals are always probing for these weaknesses.

Think of the Death Star from Star Wars. It boasted top-tier defenses: advanced weaponry, waves of TIE fighters for interception, and powerful shielding systems. On the surface, it seemed invincible. Yet a tiny, overlooked thermal exhaust port created a catastrophic flaw — a Zero Day vulnerability that allowed the rebels to bring the entire fortress down.

A word about Patches

As mentioned, security vulnerabilities typically emerge from two main sources: poor configuration decisions or hidden bugs within software code. For attackers, it’s simply a matter of knowing how to take advantage of these weak points—just like hitting that infamous exhaust port in Star Wars. When managing larger IT environments, patch management becomes a complex discipline in itself, encompassing everything from evaluating patch urgency to the orchestration of Enterprise-scale deployment strategies.

Traditionally, organizations rely on active, network-based vulnerability scans that systematically test endpoints using extensive automated checks. These scans usually begin with identifying all platforms and versions, then installed applications and their version numbers, followed by attempts to simulate known attack techniques. However, with around 300,000 documented vulnerabilities listed in the National Vulnerability Database—and new ones surfacing constantly—this method has grown increasingly labor-intensive and time-consuming.

To tackle this challenge, a new generation of patch assessment tools is emerging, centered around passive discovery techniques—what some call ‘scan-less’ scanning. Rather than repeatedly probing every system, these solutions maintain a continuous inventory of installed software and versions. This reduces redundant scanning and improves efficiency.

In theory, by keeping an up-to-date catalogue of installed software across systems, IT teams can quickly correlate new vulnerabilities with affected assets—whether from a newly introduced application or a fresh exploit affecting existing software. This enables a faster, more focused patching strategy, helping organizations respond in near real-time to emerging threats and minimize unnecessary remediation effort.

Of course, it’s a perfect opportunity for vulnerability management-trained AI to automate the entire process for you and just provide the actionable guidance needed to keep things safe, which is precisely where SecureX7 has been developed to help.

Where does vulnerability management fit within cyber security frameworks?

Protecting against threats that haven’t yet materialized is one of the most difficult aspects of modern cybersecurity. To effectively tackle this uncertainty, experts often recommend implementing a multi-layered defense strategy rooted in a well-established cybersecurity framework, such as the NIST Cybersecurity Framework (CSF).

What makes a cybersecurity framework valuable is its ability to offer structured guidance for reducing risks, responding to incidents, and recovering from attacks across a wide range of scenarios. It strengthens your organization’s resilience, even against Zero Day attacks—those unknown vulnerabilities that attackers exploit before they are publicly disclosed.

Timely identification and swift containment of threats are essential to reducing the severity of breaches and minimizing the window for data loss or operational disruption. Studies indicate that while it typically takes around 160 days to detect a breach, threat actors often extract valuable data within just a few days. This means a major data compromise can occur long before any red flags appear.

In summary, continuous, expert-evaluation of the security posture of your IT Infrastructure has never been more important. The application of contemporary AI-technology to the assessment of vulnerabilities, with respect to the ever-changing inventory of your IT assets, their installed software and hardened configuration state, is a must-have in the cybersecurity battlefield.

Conclusion

Vulnerability Management is more complex than ever before. The proliferation of new IT platforms and computing models, our ever-increasing dependency on IT, and the innate ‘on-line’ nature of everything we use means that we need to continually assess what we have and every way in which it could be compromised. While our tools for compiling an IT asset inventory and for scanning for vulnerabilities are great, unless we can orchestrate these with native, embedded AI, we will remain vulnerable to attack even those that don’t yet exist.