88% of senior legal professionals believe that AI-enabled systems are driving an increase in infringement activity

Only 12% of cybersecurity professionals in the United Kingdom reported that their organizations are fully prepared to handle AI-enhanced attacks in 2025.

85% of senior legal professionals reported an increase in intellectual property infringements at their firms over the past 12 months

At Infosecurity Europe, 18% of cybersecurity professionals reported fully implemented zero-trust frameworks in 2025.

91% of senior legal professionals are concerned about the threat of online intellectual property infringement

33% of respondents say AI agents shared sensitive or inappropriate data

80-90% of AI-generated code generates functional code for immediate prompts but never refactors or architecturally improves existing code.

60-70% of AI-generated code lacks deployment environment awareness, generating code that runs locally but fails in production.

40% of organizations reported that they already use AI for threat hunting in 2025.

40-50% of AI-generated code defaults to tightly-coupled monolithic architectures, reversing decade-long progress toward microservices.

40-50% of AI-generated code inflates coverage metrics with meaningless tests rather than validating logic.

90-100% of AI-generated code contains excessive inline commenting, which dramatically increases computational burden and makes code harder to check.

20-30% of AI-generated code over-engineers for improbable edge cases, causing performance degradation and resource waste.

80-90% of AI-generated code creates hyper-specific, single-use solutions instead of generalizable, reusable components.

40-50% of AI-generated code reimplements from scratch instead of using established libraries, SDKs, or proven solutions.

70-80% of AI-generated code violates code reuse principles, causing identical bugs to recur throughout codebases, requiring redundant fixes.

80-90% of AI-generated code rigidly follows conventional rules, missing opportunities for more innovative, improved solutions.

AI-powered phishing campaigns achieve a 54% click-through rate, over four times higher than traditional phishing.

Only 15% of companies globally have a budget specifically directed at mitigating AI-related risks in 2025, which is about the same percentage as last year.

34% of organizations expressed concern that AI-powered attacks could significantly increase their risk exposure.