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  • How AutoSecT Uses AI to Find Vulnerabilities That Actually Matter Puja Saikia
    We always think we are more vulnerable than our fellow contemporaries! In general sense, this shows lack of confidence, but when you are dealing with security, this is one of the best traits you can have! Sounds strange, right! Let’s be honest, most security teams aren’t short on vulnerability data. They’re drowning in it. Scan […] The post How AutoSecT Uses AI to Find Vulnerabilities That Actually Matter appeared first on Kratikal Blogs. The post How AutoSecT Uses AI to Find Vulnerabilities Tha
     

How AutoSecT Uses AI to Find Vulnerabilities That Actually Matter

1 de Maio de 2026, 07:25

We always think we are more vulnerable than our fellow contemporaries! In general sense, this shows lack of confidence, but when you are dealing with security, this is one of the best traits you can have! Sounds strange, right! Let’s be honest, most security teams aren’t short on vulnerability data. They’re drowning in it. Scan […]

The post How AutoSecT Uses AI to Find Vulnerabilities That Actually Matter appeared first on Kratikal Blogs.

The post How AutoSecT Uses AI to Find Vulnerabilities That Actually Matter appeared first on Security Boulevard.

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  • We Need a Shared Responsibility Model for AI Or Eshed
    Over the past 6-8 months, researchers at my company discovered vulnerabilities across multiple AI tools that allowed external bad actors to steal data, exploit AI browsers, or poison the core memories of AI systems. As we responsibly disclosed these flaws, we found that AI vendors almost universally told us, “It’s not our problem.” In their.. The post We Need a Shared Responsibility Model for AI appeared first on Security Boulevard.
     

We Need a Shared Responsibility Model for AI

17 de Abril de 2026, 16:23

Over the past 6-8 months, researchers at my company discovered vulnerabilities across multiple AI tools that allowed external bad actors to steal data, exploit AI browsers, or poison the core memories of AI systems. As we responsibly disclosed these flaws, we found that AI vendors almost universally told us, “It’s not our problem.” In their..

The post We Need a Shared Responsibility Model for AI appeared first on Security Boulevard.

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  • National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges Flashpoint
    Under a new model announced by the National Institute of Standards and Technology, NVD will no longer enrich every CVE. Instead, enrichment efforts will focus on a defined subset, including vulnerabilities in the CISA KEV catalog, software used by the federal government, and software designated as critical. The post National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges appeared first on Flashpoint. The post National Vulnerability Database (NVD) Shifts to Selec
     

National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges

17 de Abril de 2026, 14:58

Under a new model announced by the National Institute of Standards and Technology, NVD will no longer enrich every CVE. Instead, enrichment efforts will focus on a defined subset, including vulnerabilities in the CISA KEV catalog, software used by the federal government, and software designated as critical.

The post National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges appeared first on Flashpoint.

The post National Vulnerability Database (NVD) Shifts to Selective Enrichment as CVE Volume Surges appeared first on Security Boulevard.

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  • Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit… Anton Chuvakin
    Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit Speed. So? Many years ago while at Gartner, I wrote a blog post where I defined the concept of the “Patch Sound Barrier.” (original via Archive if you don’t believe that I was that smart back in 2013 :-)) This was an idea of a maximum speed that a given organization could fix a given vulnerability. If you full throttle beyond that, the engines will whirr louder, but the plane won’t fly faster, essen
     

Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit…

10 de Abril de 2026, 18:44

Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit Speed. So?

Many years ago while at Gartner, I wrote a blog post where I defined the concept of the “Patch Sound Barrier.” (original via Archive if you don’t believe that I was that smart back in 2013 :-)) This was an idea of a maximum speed that a given organization could fix a given vulnerability. If you full throttle beyond that, the engines will whirr louder, but the plane won’t fly faster, essentially.

Gemini illustration for this

The discussion arose from people constantly asking about the “optimal” or “desired” speed of patching. In my time as an analyst, I reviewed plenty of policies as well as “operational practices” (which is what people call it when they don’t actually follow their own policy “because reasons” :-)). BTW, I utterly hated “30 days flat” policies that say that vulnerabilities are fixed within 30 days no matter what, and always steered people to more nuanced risk-based policies.

One concept emerged: Given a particular IT environment, there is often a maximum physical speed at which an organization can patch. That is my Patch Sound Barrier.

Why bring this up now? Because the speed of vulnerability discovery is accelerating and so does exploit dev speed, but for many organizations, the speed of remediation simply cannot be accelerated. It is not accelerating, because it cannot. Full stop.

In the past, my guidance was to focus on better vulnerability prioritization so that you fix “real risks” using CISA KEV, EPSS, CVSS (OK, maybe not in the 2020s) and various tools that analyze the data and give you a ranked list.

But today we will have more vulns and prioritization tools won’t save you. If you have 1,000,000 vulns and 1000 are “risky for you” (however defined, let’s say you have the magical tool that reveals the true and real risk for your organization … ha), you can reduce the risk enough by fixing the 1000, if you have the bandwidth to fix the 1000 (in theory). Now, imagine you have 10m vulns (thanks AI!) and say 5000 are risky. But your bandwidth is there to only fix the 1000. So your risk goes up anyway, while you work as hard as before.

Now, you might say, “Anton, you’re making absolute statements. Surely things are flexible given enough money, enough talented engineers, and these days, enough LLM tokens?”

This is true in theory. But notice I said, “given the IT environment.”

There are definitely methods for accelerating remediation in a modern, beautifully and carefully designed environment (check our podcast episode 109 for those ideas).

But let’s review the scoreboard:

  • The speed of vulnerability discovery? Increased.
  • The speed of exploit development? Increased.
  • The speed of remediation in legacy environments? Unchanged.

OK, some of you might still think “cannot” is too harsh. But people at modern organizations — all DevOps, CI/CD, open source and now AI agents — sometimes cannot comprehend what it takes to deal with a 1990s-era “DBA from Hell” who views his beloved database as a pet, not cattle, and will only allow a patch twice a year on a rigid schedule. Don’t even get me started on OT or the sea of unpatched edge appliances out there (there are “forti” millions of them there, I hear …)

So, yes, I spent years providing recommendations on how to deal with this “vulnerability flood.” This isn’t just about the current fascination with AI; at one point, the “boogeyman” was Metasploit, or something else. Or, as old people told me, SATAN / SANTA in the mid-1990s.

The fact remains: there are more risky vulns than you have time / capability. Today. AI can find the bugs in milliseconds, but it still can’t convince a legacy middleware admin to reboot a production server on a Tuesday. Or in July. Or in 2026. Or this freakin’ century …

So far it sounds like a rehash of my past ideas, but I actually want to leverage some thoughts from Phil Venables’ blog series about speed (“Things Are Getting Wild: Re-Tool Everything for Speed” and “Cybersecurity’s Need for Speed & Where To Find It”)

Before we go there, we must remember about reducing risk without remediating vulnerabilities. This was often the most insightful bit I shared with clients back in my analyst days: Sometimes your focus must be on reducing your risk, rather than fixing the bug. Kinda “assume the breach”, but for vulns: “assume you can’t patch” then what?

So, how do you get speed to break through the sound barrier (alert: these do NOT apply to everybody):

  • Brutally destroy legacy systems; if it cannot be patched quickly and safely, don’t use it. Think “SaaS and Chromebooks” (and cloud) world. Don’t think 1980s ERP crap.
  • Modernize. Kill pets. Grow cattle. Ideally, get replaceable tiny insects as cattle. They are simpler, more replaceable and less cute. Think “pets -> cattle -> insects.” [P.S. I do not recall where I got this idea, if I stole this from you, I am sorry — happy to restore credit if you tell me]
  • Evolve IT culture to accept automatic patching, everywhere. If Chrome can autopatch 1b systems safely for 10 years, perhaps there is a way to do it, eh?
  • Eliminate the risk entirely (e.g., via micro-segmentation or data avoidance) when patching is impossible. If you cannot remove the vuln, remove the connection, the system or the entire business process.
  • Shift focus from patching to overall IT lifecycle velocity by decoupling the application from infrastructure. In faster IT, patching is faster. Fight friction, just like you fight toil.

These are some ideas on how to shift from “floor the gas” to “build a supersonic plane” to break the patch sound barrier! Are you still debating patch cycles, or are you architecting your way out of the need for them? Please share more!

Enjoy … living in interesting times!


Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit… was originally published in Anton on Security on Medium, where people are continuing the conversation by highlighting and responding to this story.

The post Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit… appeared first on Security Boulevard.

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  • 112 or 22 to 2: Who Moved the Vulnerability Cheese? Alan Shimel
    AI can now scan codebases and generate hundreds of potential vulnerabilities in minutes. But when 112 bug reports collapse into 22 confirmed flaws and only two exploitable issues, the real disruption is how AI is reshaping the entire vulnerability lifecycle. The post 112 or 22 to 2: Who Moved the Vulnerability Cheese? appeared first on Security Boulevard.
     
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