Active Containment® stops ransomware at the file system before AI-accelerated attacks ever get the chance to turn access into damage.
Drawn to scale: how long it takes an attacker to get from access to impact, next to how long a typical patch-and-recovery cycle takes to respond.
Bar lengths are illustrative, not to a shared numeric scale, chosen to make the order-of-magnitude gap visible. The point holds either way: a defense that reacts after detection is reacting to something that may already be finished.
These aren't projections. Each of these is a disclosed, documented case from the vendors, researchers, and organizations that lived through it.
The average time between initial access and an attacker moving laterally inside a network fell to 29 minutes in 2025, a 65% jump in speed from the year before. The fastest recorded breakout: 27 seconds. In one intrusion, data was already leaving the network 4 minutes after the attacker got in.
A state-sponsored group manipulated an AI coding agent into believing it was doing authorized security testing, then let it operate. The AI executed an estimated 80–90% of the tactical work autonomously, discovering and exploiting vulnerabilities, moving laterally, escalating privileges, across roughly 30 targeted organizations. Humans stepped in only at a few strategic checkpoints.
An attacker with limited technical ability used an AI coding agent to run a data-extortion campaign across 17 organizations in a single month, scanning endpoints, harvesting credentials, writing evasive malware, and drafting ransom demands up to $500,000, largely without hands-on-keyboard expertise.
Mapping a year of banned malicious accounts onto the industry's own attack framework shows operators with no track record executing techniques that used to require an experienced team, undercutting the old assumption that technical sophistication signals how dangerous an actor is.
Sysdig documented an AI agent that broke into a production database server, harvested credentials, and ran a full extortion playbook end to end, correcting a failed login attempt with a working fix in 31 seconds along the way. It didn't just encrypt the data. It deleted the originals afterward. There's no 24-hour restoration path when the thing you'd restore from was destroyed in the same operation.
ESET found a ransomware proof of concept that asks a live AI model, in real time, whether to copy, encrypt, or destroy each file it touches. A 24-hour recovery estimate assumes you know what the ransomware did to your data. This one decides that per victim, on the fly, which means there's no fixed playbook to recover against in the first place.
90% AI. 10% human. That's the split behind one of last year's biggest cyberattacks.
Get the full picture: real-world, independently-sourced examples of AI-powered ransomware, what's actually changed in the attack timeline, and why it matters for how you defend against it.
AI will keep producing new, faster ways to breach a network. That arms race doesn't end. Active Containment® isn't another detector trying to keep pace with it. It's a new kind of recovery, one that ensures you never go down at all, replacing the 24+ hours most organizations spend on backup, recovery, and restoration with a stop that happens in the first 9 files.
Active Containment® stops encryption at roughly 9 files, regardless of how the attacker got in or how fast they moved once inside. Validated against 600 ransomware samples across 195 unique families with a 100% detection rate.
See how it works →Affordable and easy to deploy alongside your existing prevention and recovery solutions. Our Active Containment™ is the proactive layer your resilience plan has been missing.
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