A critical remote code execution vulnerability in the Marimo Python notebook tool was exploited nine hours after it was publicly disclosed.
Not nine days. Nine hours.
Your team was probably still in standup when the first exploit landed. By the time someone triaged the CVE, opened a ticket, and scheduled the patch, the attack surface had already been probed by automated systems running 24/7 against every known public instance.
This isn't a horror story about one open-source tool. It's a signal about the baseline reality every CTO is operating in right now.
The Old Model Is Gone
The traditional security response model assumed time. You'd get a CVE disclosure, your team would assess severity, engineering would schedule a patch, and you'd push it in the next maintenance window. The whole process might take two to three weeks for a lower-priority issue, a few days for critical.
That model assumed attackers were also operating at human speed. They're not anymore.
AI-powered vulnerability scanning has automated the reconnaissance layer. Discovery, probe, exploit attempt — these steps happen at machine speed against everything reachable on the public internet. The gap between disclosure and exploitation has collapsed from weeks to hours to, in some cases, minutes.
Your defenders are still operating at human speed. Your attackers aren't. That asymmetry is structural, and it doesn't close by adding more headcount.
It's a Hiring Problem, Not a Tools Problem
The instinct when security gaps surface is to buy better tools. Better scanners, better SIEMs, better endpoint protection. And sometimes that's right.
But tools solve the detection problem. They don't solve the response problem.
The bottleneck isn't finding vulnerabilities — it's the human decision chain required to act on them. Triage ownership. Patch authorization. Deployment sequencing. Rollback planning. Every step requires a human to sign off, and every sign-off takes time you no longer have.
The organizations that are closing this gap aren't buying different software. They're hiring engineers who build automated response pipelines — systems that can triage by severity, auto-remediate known vulnerability classes, and escalate only the decisions that genuinely require human judgment.
That's a different hire than a security analyst who manually investigates incidents. It looks more like a platform engineer with security depth than a traditional SOC profile. It pays differently. It interviews differently. Most security job descriptions haven't caught up.
The Market Knows
Information security analyst roles are projected to grow 29% over the next decade, according to BLS — more than seven times the 4% average for all occupations. The headline number understates what's actually happening: the role is being restructured, not just expanded. It reflects a shift in what "security" means inside an enterprise and what skills that work requires.
Meanwhile, Q1 2026 saw 74,000+ tech layoffs across the industry. The bifurcation is sharp: companies are cutting generalist roles while aggressively competing for the specialists who can operate at the intersection of security and automation.
The supply isn't there. Companies building automated defense systems are pulling from a thin pool of engineers who've actually shipped this kind of infrastructure — not just read about it.
What This Means for Your Security Hiring
The question to answer internally: how many of your current security roles are structured around manual investigation versus automated pipeline architecture?
If most of your security headcount is oriented toward human-speed investigation — triage, ticket work, manual log review — you have a mismatch between your team design and the threat environment you're operating in.
The nine-hour window isn't a bug in the system. It's the new normal. The companies building the moat right now are hiring for automated response before they need it, not after an incident proves the old model is broken.
VC5 Consulting works with companies building security teams for the current threat environment. If you're trying to figure out what your security hiring profile should look like in an AI-accelerated threat landscape — let's talk.