
This recognition, given while the company is still in stealth, highlights Como's approach to bringing AI to a critical blind spot in enterprise security
SAN FRANCISCO, Oct. 14, 2026 /PRNewswire/ -- Como, the first AI-native resilience platform that shows enterprises whether their business would recover from an attack, has been named to Disruptor 60, a list curated by Greenfield Partners and unveiled at this year's TechCrunch Disrupt. The company was recognized for its innovative use of AI to identify hidden risks and continuously test critical systems, bringing proactive proof of recovery to an area of enterprise security that still relies on a plan and annual tests.
Unplanned downtime now costs Global 2000 companies $600 billion a year, up 50% in two years. Como's platform uses AI to continuously analyze the entire recovery stack, including backups, infrastructure, dependencies, and recovery plans, to determine what will recover, what will fail, and how to address potential issues before an incident occurs. Como sits on top of the stack enterprises already run, across multi-vendor backups, on-prem and multi-cloud.
"Enterprises invest heavily in preventing and detecting cyberattacks, but recovery is often treated as an assumption rather than something that can be measured and proven," said Ron Blachar, co-founder and CEO of Como. "We built Como to give organizations the confidence that if an incident occurs, their systems will recover and their business can keep moving. Being named to the AI Disruptors list, even before we publicly launched Como, is a great honor for us. It validates the growing need to bring the same level of visibility and proactive approach to resilience that enterprises have across the rest of their security stack."
About Como: Como is the first AI-native resilience platform that shows enterprises whether their business would recover from an attack, what would fail, and how to fix it. Como works on both on-prem and cloud environments, sitting on top of the backups and recovery tools enterprises already have with no rip and replace. Its AI engine continuously analyzes the full recovery stack, giving organizations proof that critical systems will recover safely and on time when it matters most. For more information, visit www.como.io
Media Contact
Inbar Kneller
ReBlonde for Como
[email protected]
SOURCE COMO
Share this article