Anthropic Opus 4.6
Cybersecurity statistics about anthropic opus 4.6
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90% of senior cybersecurity decision makers anticipate coordination breakdowns in the event of a cyber incident.
47% of requests to cached content come from bots.
60% of all origin traffic is from bots.
57% of AI fetcher requests target non-cached content.
All tested AI models now complete vulnerability research tasks, and 50% generate working exploits autonomously
49% of surveyed cybersecurity practitioners attribute most or all of the increased engineering delivery to AI-assisted coding tools.
40% of security practitioners say they are keeping up well with the increased volume of code requiring security review.
68% of IT leaders at higher education institutions want "built-in" security in their network architectures.
31% of IT leaders at higher education institutions cite infrastructure complexity as the leading barrier to Zero Trust implementation.
91% of campus IT leaders are open to or are already adopting AI-powered Network-as-a-Service (NaaS) with autonomous operations.
70% of enterprises say their trust in AI has not increased since the previous RSA Conference.
49% of enterprises report their trust in AI is unchanged since the previous RSA Conference.
21% of enterprises say their trust in AI has decreased since the previous RSA Conference.
In small organizations, VIP impersonation accounts for 43% of internal impersonation attacks.
51% of unknown AI agents emerge in internal automation or scripting environments.
35% of enterprises report financial losses from AI agent-related incidents.
68% of enterprises report high confidence in their visibility into AI agents.
82% of enterprises have discovered previously unknown AI agents in the past year.
40% of unknown AI agents emerge in developer-created workflows.
24% of enterprises rely on human-in-the-loop models for most AI agent tasks.