The Industry Created This Problem

AI is accelerating vulnerability discovery, public zero-day releases are increasing, and software vendors are running out of excuses.

The cybersecurity industry is paying attention to the wrong thing.

The real story of 2026 is not Nightmare Eclipse.

The real story is the growing number of publicly disclosed and actively exploited zero-days appearing across the technology landscape.

Chrome has already patched multiple actively exploited zero-days this year.[1] Critical vulnerabilities have emerged across enterprise infrastructure, VPN platforms, security products, cloud services, and business applications. Microsoft's June 2026 Patch Tuesday alone addressed more than 200 vulnerabilities, including multiple publicly disclosed and actively exploited flaws.[2] Public proof-of-concept releases are becoming more common, and the amount of time between disclosure and weaponization continues to shrink.

Nightmare Eclipse became a headline because one researcher publicly released multiple Windows and Microsoft Defender exploits over a relatively short period of time.[3][4] Some of those exploits, including BlueHammer, RedSun, and UnDefend, were later observed in real-world intrusion activity.[5]

The attention is understandable.

The focus is misplaced.

After more than thirty years in technology and cybersecurity, one thing becomes obvious. Major security events rarely appear out of nowhere. By the time the industry starts arguing about a vulnerability, a breach, or a researcher, the conditions that produced the problem have usually existed for years.

The recent surge in public zero-days is no exception.

Software has become dramatically more complex. Enterprise environments now depend on massive collections of open-source components, third-party libraries, APIs, cloud services, containers, and inherited code. At the same time, researchers have access to increasingly sophisticated tools capable of analyzing software faster and more effectively than ever before.

Viewed through that lens, the events of 2026 look less like isolated incidents and more like the predictable outcome of choices the industry has been making for years.

The vulnerabilities are not the story.

They are the symptom.

The Cracks Were Already There

One of the more revealing aspects of the recent disclosure activity has been the growing tension between researchers and software vendors.

Nightmare Eclipse has publicly argued that previous vulnerability reports submitted to Microsoft were dismissed, minimized, or inadequately addressed before public disclosures began.[6] Microsoft disputes that characterization and continues to advocate for coordinated vulnerability disclosure as the safest approach for protecting customers.[7]

Whether someone agrees with the researcher or the vendor is largely beside the point.

The more important question is why these conflicts appear to be happening more frequently.

Coordinated disclosure has always depended on trust. Researchers invest significant time and expertise identifying vulnerabilities. Vendors investigate findings, prioritize remediation, and develop fixes. The process works when both sides believe the relationship is functioning as intended.

It becomes considerably more fragile when that confidence begins to disappear.

When researchers believe they are being ignored, dismissed, or treated as adversaries instead of partners, the disclosure ecosystem starts to fail.

That observation extends well beyond Microsoft or Nightmare Eclipse.

Researchers are discovering vulnerabilities faster. Development teams are shipping software faster. Organizations are deploying technology faster. Yet many disclosure programs, remediation processes, and vulnerability management workflows still operate according to assumptions established during a period when software development moved at a much slower pace.

The environment changed.

Many of the processes designed to support that environment did not.

The result is growing tension between discovery and response. Researchers can increasingly identify weaknesses at a pace that challenges traditional remediation cycles, creating pressure throughout an ecosystem that was never designed for the volume and speed of modern software development.

AI Just Changed the Economics

Artificial intelligence has generated enough hype to fill entire conference agendas, but the reality is much simpler than most headlines suggest.

AI is not creating vulnerabilities.

Human beings remain perfectly capable of writing insecure software without any help from machines.

What AI is changing is the speed at which those mistakes can be identified.

For most of my career, vulnerability research was constrained by time. Researchers could only review so much code, reverse engineer so many applications, and investigate so many theories before they ran out of hours in the day.

That's not how the world works anymore.

Researchers now have access to tools capable of accelerating code analysis, reverse engineering, pattern recognition, vulnerability triage, and testing. Large code bases can be analyzed more efficiently. Relationships that might have remained hidden become easier to identify. Tasks that once required significant manual effort can increasingly be completed in a fraction of the time.

The same technology helping developers write software faster is helping researchers understand software faster.

That changes the economics of vulnerability discovery.

Software vendors are now operating in an environment where researchers can evaluate more targets, analyze more code, and identify more weaknesses than ever before. Meanwhile, software itself continues growing in complexity. More code is being written. More dependencies are being introduced. More interconnected systems are being deployed.

One side of the equation is creating software faster.

The other side is finding vulnerabilities faster.

Most organizations continue acting as though those timelines have not fundamentally changed.

That's not how the world works anymore.

The gap between vulnerability creation and vulnerability discovery continues shrinking. The gap between disclosure and weaponization continues shrinking. The amount of time available for defenders to understand, prioritize, test, and remediate vulnerabilities continues shrinking.

The economics changed.

The industry is still catching up.

When Security Products Become Attack Surfaces

Several of the vulnerabilities associated with Nightmare Eclipse targeted Microsoft Defender and related security technologies.[3][4]

At first glance, that seems ironic.

In reality, it is completely predictable.

Security products occupy some of the most trusted positions inside modern environments. They monitor systems, enforce policies, inspect activity, manage configurations, and interact directly with operating systems and infrastructure. In many organizations they possess extensive visibility and significant authority.

That combination has value.

Not just for defenders.

For attackers as well.

As organizations have centralized management, monitoring, identity, and security functions, they have also centralized trust. Systems sitting at the center of those relationships inevitably become attractive targets because compromising them can provide access, visibility, influence, or control that would otherwise require considerably more effort to obtain.

This pattern extends far beyond endpoint protection.

Identity providers have become attractive targets.

Remote management platforms have become attractive targets.

VPN infrastructure has become attractive targets.

Privileged access systems have become attractive targets.

Cloud management platforms have become attractive targets.

The common thread is not the technology.

The common thread is trust.

Attackers are not particularly interested in products. They are interested in leverage. They look for systems capable of expanding access, increasing privilege, or creating opportunities for movement inside an environment.

The more trust a system accumulates, the more valuable it becomes.

Accountability Cannot Stop With The Customer

Cybersecurity has spent years discussing customer responsibility.

Organizations need better patch management.

Users need stronger authentication.

Security teams need better visibility.

Administrators need better operational discipline.

Most of those recommendations are reasonable.

What receives far less attention is vendor accountability.

Modern software development increasingly resembles supply-chain management. Applications are assembled from vast collections of third-party components, open-source libraries, frameworks, APIs, cloud services, and inherited code. The resulting product may appear simple from the outside, but beneath the surface it often contains an enormous web of dependencies.

When vulnerabilities emerge, organizations frequently discover they have limited visibility into those dependencies and even less visibility into the risks they introduce.

That should concern everyone.

Software Bills of Materials represent one attempt to address this problem by bringing transparency to software supply chains that have become increasingly opaque. SBOMs will not eliminate vulnerabilities, but they provide something organizations desperately need: visibility.[8]

Defenders cannot effectively manage risks they cannot see.

They cannot prioritize dependencies they do not understand.

They cannot respond efficiently to vulnerabilities hidden inside software ecosystems they cannot identify.

The same logic applies to software quality itself.

If researchers are using advanced automation and AI-assisted analysis to identify vulnerabilities faster, software vendors should be using those same capabilities throughout the development lifecycle. Automated code review, dependency analysis, machine-assisted testing, and continuous validation should become standard engineering practices.

The conversation can no longer be limited to how quickly customers patch.

The conversation must also include why vulnerable software reached customers in the first place.

Bug bounty programs remain an important part of that conversation. Researchers deserve clear communication, fair treatment, and confidence that serious findings will receive serious attention. Vendors deserve reasonable opportunities to investigate and remediate vulnerabilities before technical details become widely available.

Neither side benefits when trust collapses.

The Real Battlefield Is Still Identity

For all the attention generated by public zero-days, most successful compromises still depend on the same fundamentals they have depended on for years.

Trust.

Privilege.

Identity.

The cybersecurity community often becomes fascinated with initial access because initial access is visible. Vulnerabilities receive names. Exploits receive technical analysis. Public disclosures generate headlines.

What receives less attention is what happens after the initial compromise.

A vulnerability may provide access to a system.

What determines impact is everything that comes next.

Administrative privileges.

Service accounts.

Machine identities.

Cloud permissions.

Access paths.

Trusted relationships.

The ability to move from one system to another.

The ability to transform a foothold into meaningful control.

This is why identity continues to sit at the center of modern security strategy. Not because it is fashionable terminology, but because it reflects how attacks actually unfold inside real environments.

Attackers do not need access to every system.

They need access to the right identities.

Once trust enters the equation, relatively small compromises can become significant ones. Excessive privilege, poorly understood relationships, standing access, and unmanaged identities continue creating opportunities for attackers long after the original vulnerability has been patched.

The tactics change.

The objective rarely does.

The Bill Has Come Due

The public arguments surrounding Nightmare Eclipse will eventually fade.

Another researcher will emerge.

Another vulnerability will dominate headlines.

Another vendor will find itself responding to criticism.

Those events are inevitable.

What matters is understanding the conditions that continue producing them.

Software complexity continues increasing. AI continues accelerating both software development and vulnerability research. Researchers continue becoming more efficient. Attackers continue reducing the time required to move from public information to operational capability.

None of those trends appear temporary.

The surge in public zero-days during 2026 is not an anomaly. It is the result of years of accumulated complexity, growing technical debt, opaque software supply chains, accelerated development practices, and an industry that often prioritized speed while assuming security teams would somehow absorb the consequences.

The industry likes to treat every public zero-day as an isolated event. Another researcher. Another vulnerability. Another emergency patch.

That is the easy explanation.

The harder explanation is that many of these events are symptoms of the same underlying problems. Software has become more complex than most organizations can realistically understand. Supply chains have become more opaque than most organizations can realistically see. Trust relationships have become more extensive than most organizations can realistically manage. At the same time, AI is accelerating vulnerability discovery faster than many vendors are improving software quality.

Nightmare Eclipse didn't create those problems.

AI didn't create those problems.

The industry created those problems.

AI is simply making them harder to ignore.

About the Author

Len Noe is a Solutions Architect at BeyondTrust, Transhuman, Podcaster, International Cyber Security Speaker, Author, Technical Evangelist, and Biohacker with 11 implanted microchips. A former blackhat with more than 30 years in technology, he has presented in over 70 countries and is featured in the documentary I Am Machine, which premiered at DEF CON 2025.

References

[1] Google Chrome Releases Blog https://chromereleases.googleblog.com/

[2] BleepingComputer — Microsoft June 2026 Patch Tuesday Fixes 200+ Vulnerabilities https://www.bleepingcomputer.com/news/microsoft/microsoft-june-2026-patch-tuesday-fixes-6-zero-days-200-flaws/

[3] The Hacker News — RoguePlanet Microsoft Defender Zero-Day https://thehackernews.com/2026/06/microsoft-defender-rogueplanet-zero-day.html

[4] ThreatLocker — Microsoft Defender RoguePlanet Analysis https://www.threatlocker.com/blog/microsoft-defender-zero-day-rogueplanet-grants-system-privileges

[5] Huntress — Nightmare Eclipse Intrusion Activity Research https://www.huntress.com/blog/nightmare-eclipse-intrusion

[6] Tom's Hardware — Microsoft GitHub Actions and Nightmare Eclipse Dispute https://www.tomshardware.com/tech-industry/cyber-security/microsofts-github-bans-security-researcher-who-posted-zero-day-windows-exploits-because-company-ruined-their-life-expert-claims-action-is-vindictive-and-promises-further-retaliation

[7] TechRadar — Microsoft Response to Public Vulnerability Disclosures https://www.techradar.com/pro/security/this-microsoft-defender-zero-day-could-give-hackers-unprecedented-access-to-your-system

[8] CISA — Software Bill of Materials (SBOM) Guidance https://www.cisa.gov/sbom