Here’s a number worth sitting with. In 2025, the global average time it took organizations to identify and fully contain a data breach was 241 days, according to IBM’s Cost of a Data Breach Report (IBM). That’s the lowest figure in nearly a decade, and it’s still the better part of eight months.
Meanwhile, attackers are moving faster than they ever have. CrowdStrike’s 2026 Global Threat Report puts the average eCrime breakout time, how long it takes an attacker to move from an initial foothold to another system inside the same network, at 29 minutes in 2025. That’s a 65% jump in speed compared to the year before. Their fastest recorded breakout was 27 seconds, faster than most monitoring tools finish parsing a single login event.
Read those two numbers side by side and the actual problem comes into focus. It was never really about attackers being unstoppable. It’s that they move in seconds and minutes, while most organizations find out in months.
Even the good number is still bad
IBM’s figure covers a broad mix of breach types and industries, some genuinely slow to detect, which pulls the average up. Mandiant’s M-Trends 2026 report, drawn from their own incident response caseload, puts global median dwell time at 14 days for 2025, three days worse than the year before.
Fourteen days is meaningfully better than 241. It’s also two full weeks of an attacker having free run of a system before anyone noticed. That’s the best-case number, from organizations with mature enough security operations to be measured by Mandiant’s incident response teams in the first place. For most small businesses and self-hosted infrastructure, there’s no equivalent baseline at all, because there’s no detection process running in the background to measure.
The gap is really a visibility gap
Large-scale breach detection rarely starts with someone noticing the actual moment of entry. It usually starts downstream: a spike in outbound traffic, a ransomware note, a third party flagging stolen credentials for sale, a SIEM correlating a pattern days after the fact. By the time any of that triggers, the initial access, the part that happened first, is old news.
For a small business server or a personal VPS, that downstream detection layer often doesn’t exist at all. No SIEM, no dedicated security team watching dashboards, no budget for enterprise monitoring. The realistic starting point isn’t “how does our detection speed compare to Mandiant’s median.” It’s “would we know at all.”
Where real-time login alerts actually fit
We want to be precise about this rather than oversell it. Login AlertX doesn’t replace intrusion detection systems, malware scanning, or a proper incident response process, and it was never built to. What it does is shorten the single most important gap in that whole 14-to-241-day window: the time between an account logging in, or elevating privileges with sudo or UAC, and someone finding out about it.
That first login or privilege escalation is usually step one of the chain that eventually becomes the multi-week or multi-month compromise these reports describe. Catching step one the moment it happens doesn’t guarantee catching everything that follows. But it moves the first alarm from wherever it currently sits, sometimes 14 days out, sometimes 241, sometimes never, to the actual moment it occurred.
With Login AlertX now monitoring Linux servers and SSH sessions alongside Windows desktops, that visibility extends to exactly the kind of machine these dwell-time numbers are describing: a server sitting somewhere, quietly assumed to be fine, with nobody watching who logs into it or when.
You still need the rest of a real security posture. But knowing the instant someone gets in is the part that makes everything after it possible to catch early instead of eight months late.
Login AlertX now monitors logins, sudo and UAC elevation, and remote sessions across Windows and Linux, desktops and servers alike, with real-time alerts delivered the moment they happen. See how it works .