Verizon nationwide wireless outage
Verizon's mobile network failed across the US for nearly ten hours, with phones stuck in SOS mode and voice, text and data down; Downdetector logged more than 2.3 million user reports, Verizon offered a $20 credit, and House Homeland Security leadership demanded briefings.
The damage was public. The root cause was preventable.
Verizon's mobile network failed across the US for nearly ten hours, with phones stuck in SOS mode and voice, text and data down; Downdetector logged more than 2.3 million user reports, Verizon offered a $20 credit, and House Homeland Security leadership demanded briefings.
What the software actually got wrong
Verizon said only that it was a software issue, with no indication of a cybersecurity cause; it has not published technical details, and outside analysts' suggestions that a faulty update or core-network change triggered it are unconfirmed.
Verizon said only that it was a software issue,...
Verizon said only that it was a software issue, with no indication of a cybersecurity cause
Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.
It has not published technical details
it has not published technical details
Requs AI Software FMEA traces this failure mode back to the system-level hazard it feeds, tagging it against the Common Defect Enumeration so it surfaces in review instead of in the field.
Outside analysts' suggestions that a faulty update or core-network...
outside analysts' suggestions that a faulty update or core-network change triggered it are unconfirmed
Requs AI Edge Case and Software FMEA together treat this as a known, catalogued defect pattern — not a novel surprise — so it gets tested for deliberately rather than discovered after deployment.
Beyond code coverage and "shall" testing
Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.
Surfaces this before code exists
Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.
Connects the failure mode to the hazard
Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.
Find the overlooked root causes before they ship.
Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.