Anthropic Opus 4.6
Cybersecurity statistics about anthropic opus 4.6
Showing 6181-6200 of 10000 results
27% of organizations view AI supply chain risks as spanning the entire AI supply chain from sourcing through runtime deployment.
70% of Organizations expect their observability budgets to increase next year.
32% of respondents in Italy identify streamlining security operations as a top security convergence goal.
74% of organizations believe employing AI in their own businesses could potentially make them more vulnerable to a cyber attack.
Just a third (approximately 33%) of employees have had formal, company-provided instruction on using AI in their job role.
66% of IT leaders are concerned that AI will make it easier for bad actors to attack their infrastructure and target their employees.
100% of organizations have adopted at least some form of AI.
36% of respondents in Spain identify streamlining security operations as a top security convergence goal.
45% of respondents in Japan identify optimizing cloud security as a top security convergence goal.
A further 8% of respondents are not confident at all using AI tools.
26% of respondents ranked app tampering / code injection as their biggest manipulation challenge currently in the gig economy.
49% of organizations anticipate Shadow AI incidents.
21% of manipulation concerns in the gig economy by 2026 will be related to device farms.
25.0% of organizations expect AI agent security to require the most new investment in AI security over the next 12 months.
38% of respondents do not encourage their team to use AI agents because they do not feel they understand them well enough themselves.
96% of IT leaders state their organizations are very likely or somewhat likely to invest in cyber incident recovery in the next 12 months.
48% of employees trust AI agents for more human-sensitive tasks like recruitment decisions.
62% of non-managers have been trained in AI tools.
81% of employees say they’ve received some form of training on using AI in their job role.
93% of non-managerial staff recognize the importance of AI safety and data security training.