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The AI Vulnerability Storm

You can't fix what you can't see.

Every vendor is promising to point AI at your code and make the problem disappear — while the threat side already moved to machine speed. This briefing is what to do about it, before it reaches you.

The CRA / SANS / OWASP Mythos-ready program, distilled for security leaders.

The Mythos Executive Briefing — Kusari cover
~20 hrs
from unknown package to working exploit
~72%
exploit success in the Mythos preview
~95%
of real vulns hide in transitive dependencies
~48%
of Renovate flags are false positives
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The CSA / SANS / OWASP Mythos-ready program, distilled for security leaders — with the full priority-action map you can hand to your team.

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In short

What Kusari does.

Kusari is a software supply chain security platform that finds which vulnerabilities are actually exploitable in your code, built from source, and ships verified fixes. It maps the full dependency graph — including the transitive layer where roughly 95% of real vulnerabilities hide — so teams can stay ahead of AI-accelerated exploitation and the EU Cyber Resilience Act deadline.

The problem

The old model already broke.

Your program was built for a 30-day patch cycle, but that window is no longer relevant. When AI discovers and exploits flaws in hours, these three assumptions stop holding at once.

01

Patch windows

The backlog refills faster than your team can clear it.

02

Exploit scarcity

"No known exploit" is no longer a reason to wait.

03

Incident frequency

The numbers in your board deck were modeled for a slower world.

Pointing an autonomous agent at the mess does not fix this. You cannot fix, or prove you fixed, what you were never able to see.

The answer

Software supply chain security that starts from source.

Kusari sits above your scanners as a unifying intelligence layer. It ingests from the tools you already run, builds the full picture from source, and answers the question none of them can on their own: where is this vulnerability actually running, right now — and can we prove it's fixed?

See it

The full transitive graph from source, including the ~95% of risk standard SCA never reads.

Cut it

Findings ranked by real reachability and effort, false positives stripped to near-zero.

Ship it

AutoFix traces to root cause and ships the fix as a clean PR. On our own codebase, that cut MTTR by about 80%.

Built by the team behind the open source standards this industry runs on. That pedigree is why the accuracy holds up.

Inside the briefing

What's inside.

Plus the full priority-action map, this week to 12 months, mapped to what you can stand up. It's the practitioner view — so forward it to your team.

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Your free 30-day trial starts with one quick call. We'll scope it together, get you set up on your own code, and you keep whatever it finds. No cost, no commitment.

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FAQ

Questions security leaders ask.

What is the AI vulnerability storm?

The AI vulnerability storm is the shift where AI systems find and exploit software vulnerabilities faster than teams can patch them. The term comes from a 2026 briefing by the Cloud Security Alliance, SANS, and OWASP Gen AI. In an April 2026 preview, an autonomous system discovered thousands of previously unknown zero-days and generated working exploits in roughly 20 hours each.

What is a Mythos-ready security program?

A Mythos-ready security program is one built to defend against AI-accelerated vulnerability discovery and exploitation. The CSA, SANS, and OWASP framework defines it through a set of priority actions and a permanent Vulnerability Operations (VulnOps) function that runs continuously instead of at scan time.

Why is software vulnerability exploitation now the top attack vector?

In the 2026 Verizon Data Breach Investigations Report, exploitation of vulnerabilities became the most common initial access vector for breaches at 31%, overtaking credential abuse for the first time. AI is compressing the time between a vulnerability going public and being exploited, in some cases to before a patch exists.

How does Kusari find exploitable vulnerabilities in transitive dependencies?

Kusari builds a complete dependency graph from source, including transitive dependencies several layers deep, where roughly 95% of real vulnerabilities live and which standard SCA tools largely miss. It then ranks findings by whether they are actually reachable and exploitable in your environment.

How is Kusari different from a vulnerability scanner?

Kusari is a unifying intelligence layer that sits on top of the scanners you already run. It ingests their output, builds one picture of your software from source, identifies what is genuinely exploitable, and ships verified fixes as pull requests — so your team gets answers instead of another stream of alerts.

Does Kusari help with EU Cyber Resilience Act (CRA) compliance?

Yes. The EU CRA deadline is September 11, 2026. It requires manufacturers to know what is in their software, manage vulnerabilities across the product lifecycle, and demonstrate it. A Mythos-ready program produces the evidence the CRA expects — a real SBOM, reachable-risk analysis, and provable remediation — as a byproduct.

Is there a free trial?

Yes. Kusari offers a free 30-day trial on your own environment. It starts with a short scoping call, then runs against your real software to show what is exploitable and how quickly it can be remediated. No cost, no commitment.

Last reviewed July 16, 2026