Anthropic Opus 4.6
Cybersecurity statistics about anthropic opus 4.6
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For network intrusions, the root cause was not found 34% of the time.
The cost of the largest investigations increased by more than 10% in 2025 compared with the previous year.
Vendors were the cause of 25% of data security incidents analyzed.
Ransomware negotiation discounts of 50%–75% often take 20–60 days of negotiations.
57% of security, IT, and compliance professionals believe AI-related incidents are most likely to trigger regulatory action or customer fallout in 2026.
Only 18% of security, IT, and compliance professionals are not concerned about AI-related compliance risk.
In the past 12 months, 26% of organizations report regulatory actions related to AI.
87% of surveyed organizations reported experiencing an API-related security incident in 2025.
Internal repos are 6x more likely to contain hardcoded secrets than public ones.
35% of security leaders working across the UK’s 13 CNI sectors cited regulatory requirements as the primary influence on their security programs, up from 26% the in 2025 and 29% the year before.
64% of application-layer DDoS attacks exceed 10 minutes.
More than two-thirds of CFOs estimate that up to 30% of their cloud spend is wasted.
Total number of DDoS attacks increased to 1,300,000 in Q4 2025 from 512,000 in Q4 2024.
DDoS attacks surged by 150% year-on-year.
75% of large U.S. companies have not implemented a solution to address quantum security threats to legacy data.
49% of organizations disable identities or revoke tokens as containment actions, 42% terminate the compute environment where an agent runs, and 33% remove or modify access policies in real time.
73% of organizations expect AI agents to become vital within the next year.
60% of companies have not yet deployed or are only planning to deploy solutions to address generative AI data privacy breach risk.
75% of companies say exposure of legacy data is a quantum security risk and 75% have not yet deployed solutions to address that risk.
47% of organizations say their AI models can learn robust norms and make safe decisions autonomously.