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The window between flaw and attack is shrinking, and monthly patching is no longer enough
Microsoft says AI gives attackers the edge and that an exploit for a flaw is ready in under 24 hours. Few flaws are exploited, but the ones that matter arrive before the monthly patch cycle.
Microsoft's annual Digital Defense Report, published on October 1, 2026, says artificial intelligence has changed the economics of attack and defense, with the advantage going to attackers in the near term. The figure that matters most to whoever decides the budget is on another page: the median time from discovering a flaw being used in the wild to having a working exploit has fallen to well under 24 hours. In Indene's reading, this does not mean every flaw has become urgent. It means the few that matter are now exploited before the monthly patch cycle reaches them.
What the sources show
| indicator | figure | source |
|---|---|---|
| Median time from discovery of a flaw in the wild to a working exploit | well under 24 hours | Microsoft, 2026 |
| Typical time for companies to fix a critical internet-facing flaw | 30 to 60 days | Microsoft, 2026 |
| Incident response cases that began with an exploited public-facing application | 24%, up from 15% a year earlier | Microsoft, 2026 |
| Mean time to exploit | estimated at minus 7 days, that is, before a patch exists | Mandiant, 2026 |
| Vulnerabilities exploited per month | 18 from January to August 2026, up from 10.5 in 2025 | Google Threat Intelligence, 2026 |
| Share of vulnerabilities disclosed in 2026 that were ever exploited | 0.23% | Google Threat Intelligence, 2026 |
| Breaches in Latin America and the Caribbean that began with vulnerability exploitation | 44% | Verizon DBIR, 2026 |
The figures complement each other. The volume of disclosed flaws has exploded: according to Google, the number of CVEs published per month doubled between January and August 2026. But only one in 431 was seen in use by attackers, and VulnCheck shows that of the flaws discovered with AI help in the first half of the year, only 1.3% were exploited. What has shrunk is not the time for every flaw; it is the time for the ones that matter, and they are concentrated in edge devices, remote access and identity.
Gartner recorded the shift from the risk managers' side. In its survey of 316 executives and risk managers in the second quarter of 2026, AI-driven discovery of vulnerabilities appeared on the list for the first time, and straight in first place among emerging risks.
What it means taken together
Recent weeks provided concrete examples. In Citrix NetScaler, Palo Alto Networks' Unit 42 saw reconnaissance starting August 21 and exploitation up to hours before the vendor's bulletin on September 27. In Ivanti Connect Secure, Volexity saw exploitation starting October 3 on a fully updated device; the fix came out on October 13. In both cases, organizations that followed the patch calendar to the letter were exposed for days or weeks without knowing it.
Microsoft draws a direct recommendation from this: fix any new flaw affecting an internet-facing or identity system within 72 hours, and review the previous 90 days for signs that the flaw was used before the fix. That target is far shorter than the 30 to 60 days the same report describes as common practice.
For the board, the consequence is about measurement. The indicator "percentage of patches applied this month" says little when a single edge flaw, exploited for ten days, weighs more than a thousand routine patches. What matters is how long each exposed asset was vulnerable to an exploited flaw, and whether there is proof that no one got in during that interval. In Latin America, where vulnerability exploitation is already the main entry point for breaches, according to Verizon, this calculation weighs even more.
There is also an effect on evidence. Compliance evidence collected in March, such as a scan report or a penetration test, loses value faster when the window between disclosure and attack fits within a week. Evidence needs a date, and the date needs to be recent.
What to do now
- Separate the inventory of internet-facing and identity assets (VPNs, gateways, remote access, authentication servers) from the rest and give them a patching target in hours, not weeks.
- Track CISA's catalog of exploited vulnerabilities and the vendor advisories for these assets every day, not only in the monthly cycle.
- For each exploited flaw that affected the institution, record when it was disclosed, when it was fixed and the result of the search for signs of intrusion in that period.
- In the report to the board, replace patch volume with the exposure time of critical assets.
- Review risk appetite to reflect that vulnerability discovery has become continuous, as Gartner recommends.
In Indene's reading, patching speed is a control like any other: it is worth what the evidence shows, and evidence ages. The exposure time of a critical asset is an input to the loss range. Read the methodology.
References
- Microsoft Digital Defense Report 2026: Microsoft, October 1, 2026
- M-Trends 2026: Mandiant, Google Cloud, March 23, 2026
- Vulnerability Discovery and Exploitation Trends in the AI Era: Google Threat Intelligence Group, September 30, 2026
- 2026 Data Breach Investigations Report: Verizon, May 19, 2026
- State of Exploitation 1H 2026: VulnCheck, July 28, 2026
- Gartner Survey Finds AI Discovery of Cyber Vulnerabilities is Top Emerging Risk in Second Quarter of 2026: Gartner, August 25, 2026
- Threat Brief: NetScaler Zero Days CVE-2026-88771 and CVE-2026-88772 Exploited in the Wild: Unit 42, Palo Alto Networks, September 30, 2026
- A Series of Unauthenticated Events: Chained Exploitation of Ivanti Connect Secure Zero-Days: Volexity, October 13, 2026