The Data & Identity Security Report 2026 examines how rapid AI adoption is reshaping organizational risk, revealing a widening gap between identity governance, data visibility, and the speed at which AI systems operate.
Based on a survey of 2,317 security and IT leaders, the report’s central finding is stark: organizations where AI significantly increased the number of identities in their environment experienced a 43% breach rate, compared to 11% for those without major AI‑driven identity expansion. As the report states, “They invested in the playbook. They got breached anyway.”
The report attributes this surge in exposure to a visibility problem rather than a simple inventory gap. While many organizations have invested in data classification and protection, 74% lack a unified view of sensitive data and the identities that can access it. AI agents, service accounts, and automation tools now create identities at machine speed, outpacing traditional governance models built around human onboarding cycles. Non‑human identity governance is particularly weak, with 76% of organizations failing to fully monitor or manage these identities.
The downstream effects are significant. Permissions accumulate unchecked, standing access persists, and misconfigurations—especially in hybrid identity environments like Active Directory and Entra ID—create privilege escalation paths attackers can exploit in seconds. Only 26% of organizations are fully confident their AD environment is free of such misconfigurations, and most still remediate issues in days rather than minutes.
Financial and operational impacts are already materializing: 42% experienced unauthorized identity access, mid‑market organizations reported the highest exposure rates, and nearly a quarter suffered losses exceeding $100,000.
The report outlines a path forward centered on continuous discovery, unified identity‑data governance, automated provisioning, and AI‑specific access controls. Only 11% of organizations have operationalized AI governance, but those with unified identity and data visibility are nearly five times more likely to be fully AI‑ready.
The report concludes with a maturity model and practical strategies—DSPM, access governance, AI governance, and DLP—to help organizations evolve from reactive posture to optimized, real‑time security operations.
