$19M Per Hour: Endpoint Disruptions Drive Enterprise Downtime Costs
Event summary
- $19M per hour lost on average when endpoint devices fail, per Absolute Security survey of 1,000 CISOs.
- 88% of security leaders say autonomous recovery could cut downtime costs.
- 41% of orgs saw AI-accelerated vulnerability exploitation in the past year.
- 38% cite trust as top barrier to adopting full autonomy in cybersecurity.
The big picture
The survey underscores a widening gap between AI-powered attacks and legacy patching processes, with downtime emerging as the most damaging consequence of breaches. As hybrid workforces expand endpoint vulnerabilities, the pressure mounts on CISOs to adopt autonomous resilience tools—despite lingering trust concerns. Absolute Security positions this as an inflection point for cybersecurity platforms capable of matching attack speeds.
What we're watching
- Autonomy Adoption
- Whether enterprises can overcome trust barriers to deploy autonomous recovery solutions at scale.
- AI Arms Race
- The pace at which AI-assisted attacks outstrip patching capabilities and force security modernization.
- Regulatory Scrutiny
- How growing downtime costs may trigger new compliance requirements for enterprise resilience planning.
