Myth is a wake-up call
„Bugmageddon.
„Vulnpocalypse.
The terms sound dramatic – and that's exactly how the topic is discussed. AI systems like Mythos are finding security vulnerabilities faster than ever before and generating working exploits at a pace that was unthinkable just a few years ago.
That's true.
But it's not the real story.
Mythos has not created a new problem. It has made an existing one visible.
The real problem: We find everything – but understand too little
For over a decade, the cybersecurity industry has been optimizing itself for one capability: Find security vulnerabilities.
Scanners got better, CVE databases more comprehensive, prioritization systems more sophisticated. On paper, this looks like progress – and technically, it is.
But at the same time, something else happened:
- Backlogs have exploded
- Prioritization is often inconsistent
- Decisions are based more on scores than on real risks.
The result: While companies are becoming increasingly aware of their security vulnerabilities, they don’t necessarily know which ones are truly dangerous.
More findings do not solve a security problem
The reaction to new technologies like Mythos is predictable: More scans. More alerts. More pressure.
But that's exactly what doesn't scale.
Because the real problem isn't the number of security vulnerabilities.
It is the uncertainty in the decision of what truly matters.
Critical vulnerabilities are often not exploitable.
„Uncritical“ gaps can become highly dangerous in combination. Teams waste time on things that have no real effect!
Without context, prioritization becomes a guessing game.
Vulnerable ≠ exploitable
That is the crucial difference – and it's becoming increasingly important.
A security vulnerability alone does not constitute a risk.
It only becomes relevant once it can actually be put to use.
In practice, this means:
- Security controls can prevent attacks.
- Misconfigurations can make harmless vulnerabilities dangerous
- Identity issues often open the door to real attacks
Attackers don't think in terms of individual vulnerabilities.
You think in attack paths.
And this is exactly where many security programs lose track.
Exploits are just the beginning – not the end
The current discussion is heavily focused on exploits.
But that's falling too short.
An exploit is only relevant if it leads to something:
- Lateral movement
- Privilege escalation
- Access to critical systems
An exploit without side effects is worthless.
The risk lies not in the security vulnerability – but in what it enables.
AI doesn't change the rules – it changes the pace!
It is often assumed that AI changes everything. In reality, attacker behavior remains astonishingly consistent.
Attackers continue to prefer:
- simple, reliable methods
- repeatable attacks
- low complexity with high impact
What has changed: Speed and scaling.
An average attacker with AI can achieve more today than a highly skilled specialist could previously – simply because they can process thousands of targets in parallel.
The real bottleneck has long been elsewhere
Most companies are already overloaded today:
- too many findings
- too few resources
- too little clarity
If AI continues to increase the number of security vulnerabilities, this problem will intensify.
And at the same time, the window of opportunity between discovery, analysis, and exploitation is shrinking.
That means:
- It's no longer about patching everything.
- It's about doing the right thing.
The necessary change in perspective
Attackers move through systems. They combine vulnerabilities, use identities to bypass controls.
Security programs, on the other hand, often consider:
- isolated individual problems.
- This is precisely where the gap lies.
What's missing is the view of:
- Real attack paths
- actual exploitability
- measurable effects
What really matters now
More scans won't solve the problem. More alerts won't either.
Successful companies change their model:
- to check for exploitability of security vulnerabilities
- from problems count → to understanding effects
- patch everything → interrupt attack paths
And they accept one reality: An „Assume Breach“ approach is essential.
This is where DEFENDERBOX comes in
Together with our partner Horizon3.ai let's take this step further. Instead of just reporting security vulnerabilities, it's about:
- to simulate real attack scenarios
- To validate exploitability specifically
- Understanding risks in context
- and to demonstrably make measures effective
Because in the end, it's not how many vulnerabilities exist that matters. But whether they can actually lead to an attack.
Conclusion: No reason to panic – but a clear mandate
Mythos is not a doomsday scenario. It is a mirror, a wake-up call.
It shows where the industry stands today:
- Very good at finding problems.
- Not yet good enough at understanding their effects.
The solution isn't more tools. It's a better understanding of risk.
And in the ability to think about security from an attacker's perspective.
Stay vigilant - your IT will stay that way with us!