New primary research based on survey responses from enterprise IAM and security leaders reveals a widening gap between identity risk exposure and executive visibility as automation, non-human identities, and AI accelerate across the enterprise.
This gap manifests as an expanding attack surface, unmanaged machine identities, and governance blind spots increasingly surfaced through security incidents and audit scrutiny.
What the Research Reveals
- Why 40%+ of executives lack visibility into core identity risk indicators such as privileged access and access revocation
- How non-human identities now outnumber humans by 50:1 or more, and why most organizations significantly underestimate their true scale
- What widespread agentic AI adoption means for identity governance, ownership, and credential management
- Which identity metrics correlate most closely with security and audit risk, and why they rarely appear in executive reporting
Who Should Read This
Security executives, IAM and IGA leaders, and risk and compliance stakeholders responsible for identity security, governance, and oversight in complex enterprise environments.
About the Research
This report is based on a primary research study with 577 IAM, identity, and cybersecurity leaders across U.S. enterprises, including senior management and C-level respondents.