Bottom line: 78 percent of enterprises are already experiencing AI security incidents, while formal governance programmes and central transparency over AI systems remain in the minority.
78 percent of enterprises report AI-related security incidents or identified vulnerabilities. A DigiCert study shows that lack of transparency and inadequate governance programmes jeopardise control over AI systems.
The DigiCert study analysis reveals a central problem: while 75 percent of surveyed organisations have deployed at least four new AI-driven systems in the past six months, they simultaneously lack visibility. Almost 50 percent of enterprises report having no central transparency over their deployed AI systems and their activities. This discrepancy between rapid adoption and insufficient monitoring creates immediate attack surfaces.
A second governance deficit: although approximately 90 percent of leadership discusses AI governance, only around 50 percent of organisations have implemented a formal governance programme. This means strategic intent lacks operational implementation. A positive indicator, however, is that over 50 percent are already providing dedicated budgets for AI security and 86 percent have established processes to revoke access rights from compromised AI systems or AI agents.
The largest unresolved risk remains the lack of traceability: almost 50 percent of enterprises cannot fully explain what models and data sources their AI results are based on. This transparency gap not only impedes rapid root-cause analysis following incidents, but also hinders compliance and internal audit requirements. At least almost 90 percent of organisations are actively preparing for regulatory requirements and have assessed their liability risks.
Source: www.it-daily.net · Published 10 July 2026
Lumi AI News — AI-assisted curation in accordance with Article 50 EU AI Act. Paraphrase and classification through Lumi News Pipeline v1.7.3.