Anthropic Opus 4.6
Cybersecurity statistics about anthropic opus 4.6
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Nearly 20% of employees do not know what their company's AI policy is.
DataDome’s network recorded 7.9 billion AI agent requests in January and February 2026, a 5% increase QoQ.
Only 29% of Americans feel very confident they could recognize a tax scam when they see one.
Only 29% of Americans feel very confident they could spot a deepfake IRS voice or video pretending to be from the IRS.
40% of adults aged 18–24 use two-factor authentication, versus 58% of adults aged 65 and older.
42% of adults aged 18–24 feel very confident they could spot a deepfake IRS video or AI-generated audio, nearly triple the 15% of adults aged 65–74.
Initial ransom demands surged 47% year-over-year in 2025.
In 2025, Google Threat Intelligence Group attributed the exploitation of 9 zero-days to confirmed or likely financially motivated threat groups.
65% of organizations find integrating cybersecurity tools too complicated.
Credit card identity theft averaged 2.82%.
Auto lending identity theft averaged 4.21%.
AI-generated emails are 75% more effective at evading traditional email filters.
52% of healthcare leaders cite lack of continuous monitoring for lateral movement and segmentation failures as a critical or significant limitation.
42% of healthcare leaders state that reducing incident response and breach remediation costs is one of the most important ROI outcomes when considering microsegmentation investments.
90% of IT professionals express confidence in AI’s ability to improve monitoring and observability operations
41% of IT professionals cite complexity of technology as a barrier to fully operationalizing AI in observability
The industry experienced two consecutive years of cumulative wireless vulnerability growth exceeding 25% in 2024 and 2025.
Ransomware incidents increased by 53% between January 2025 and December 2025.
AI-related illicit discussions increased by 1,500% between November and December 2025.
When asked what IT/cybersecurity use cases are being pursued with gen AI, 58% of respondents said log analysis and anomaly detection.