OX Security

After prioritization, the average organization manages 795 critical findings, up from 202 the prior year (nearly quadrupling).

Average raw alerts per organization are 865,398, a 52% increase from 569,354.

High Business Priority is the most frequent risk-elevating factor at 27.76%, followed by PII Processing at 22.08% and CVSS High Severity at 20.55%.

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

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

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

Insurance organizations have the highest proportion of critical findings at 1.76%.

Critical findings constitute 0.092% of raw findings, up from 0.035%.

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

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

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

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

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

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

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