Antivirus/Anti-malware
Cybersecurity statistics about antivirus/anti-malware
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23% of organizations prioritize token layers for AI delivery and security.
78% of organizations run AI inference themselves.
91% of U.S. organizations indicate that AI will strengthen their security posture.
Only 9% of U.S. organizations report being ready to deploy AI-powered security today.
There is an 82-percentage-point gap between AI belief (91%) and AI deployment readiness (9%) in the U.S.
In the U.S., the confirmed cyberattack rate is 34%, two percentage points above the global average.
34% of U.S. organizations experienced a confirmed cyberattack in the past year, compared with 32% globally.
76% of U.S. organizations lack complete identity visibility across their workforce, two percentage points higher than the global average.
75% of U.S. organizations plan to increase security spending in 2026, three percentage points above the global average.
63% of U.S. employees use 15 or more business applications, four percentage points above the global average.
The average U.S. employee now logs into more than fifteen business applications daily.
62% of U.S. organizations have not deployed a Zero Trust strategy, three percentage points lower than the global average.
52% of global organizations cite legacy infrastructure as a primary blocker to security or AI deployment.
48% of global organizations cite migration complexity as a primary blocker to security or AI deployment.
41% of global organizations rank cost as a primary blocker to security or AI deployment.
More than half of organizations with fewer than 250 employees report having no dedicated security team.
Across the global sample, one in three businesses reported a confirmed cyberattack in the past year.
90% believe employees are using artificial intelligence in their organization, but only 22% say AI return on investment (ROI) has met or exceeded their expectations.
Only 38% of digital trust professionals are confident in their board’s understanding of AI risks.
60% of digital trust professionals cited social engineering as an AI risk.