LockBit 3.0
Cybersecurity statistics about lockbit 3.0
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78% of security leaders report high confidence in their defenses, even though security teams score as low as 30% in Defensive Security Readiness exercises.
73% of organizations are using AI agents in their Security Operations Center at a moderate to high level.
49% of organizations include third-party applications in their current patching process.
Automation is the top patch modernization investment priority for 76% of organizations in 2026.
More than 60% of organizations rely on manual processes in at least part of the patch lifecycle.
More than a third of organizations in the US report attempted cyber attacks occurring daily or even more frequently.
42% of organizations globally identify a lack of visibility into the AI tools employees use as a significant identity governance gap.
Downtime costs an organization $95 million in lost revenue annually, nearly double the level in 2024.
81% of technology leaders cite customer loss as a consequence of downtime.
Victims were given an average of 7.7 days to meet ransom demands in Q1 2026.
89% of tech leaders cite the need for large numbers of personnel to fix downtime issues.
Only 38% of technology executives consistently identify the root cause of a downtime incident.
Organizations spend a median of $24.5 million annually on AI tools that prevent and respond to downtime.
Undisclosed ransomware attacks increased by 2% year-on-year.
Ransomware victims were located in 97 countries in Q1 2026.
Nearly 20% of marketing professionals report it takes an entire quarter to recover brand health after remediation.
98% of organizations with the lowest downtime costs confirm end-to-end visibility is very or extremely important for reducing incidents.
71% of technology executives rate publicly disclosing a data breach as very or prohibitively disruptive, up from 23% in 2024.
90% of tech leaders report increased demand for customer support during downtime.
All technology leaders report their organization has experienced some form of AI-related downtime.