AI Threat Readiness Survey Report 2026
Managing Sprawl, Shifting Trust, and Identity Risk in the Age of Agentic AI
Modern cloud architectures now rely on non-deterministic software executing multi-step operations directly on enterprise data and runtime systems. Based on a benchmark survey of 100 senior IT and security decision-makers spanning CxOs, VPs, and directors, this report investigates the operational divide between rapid autonomous adoption, fractured governance, and enterprise threat readiness.
Fact 1
Autonomous Agents and Workflows Lead Production AI Deployments
Over half of organizations actively run autonomous agentic workflows across core operational lanes, developer tooling, and IT automation. Granting software independent execution authority shifts enterprise trust directly to machines, elevating critical visibility and identity challenges across runtime environments.
Fact 2
Data Access and Autonomous Decision-Making are Top Agentic Security Concerns
When evaluating autonomous agent risk, 70% of leaders rank access to sensitive data as a top concern, followed closely by agent autonomy and identity permissions. This concern reflects the reality that autonomous systems sit at the intersection of execution and authorization, where a disconnect in identity controls can instantly put confidential stores at risk.
Fact 3
AI Asset Inventories Fail to Keep Pace with Deployment Velocity.
While deployment accelerates, only 17% of organizations maintain a comprehensive inventory of their models, agents, and pipelines. This tracking vacuum has made shadow AI an operational reality, with more than half of organizations discovering unauthorized AI workloads within their perimeters over the past year.
Conclusions
As autonomous systems reshape enterprise perimeters, defending against machine-speed threats requires retiring manual triage loops. A unified code-to-cloud platform gives security teams the context needed to trace asset ownership and shut down reachable attack paths before adversaries exploit them.
Get your copy of the full report to access the complete survey data and the five-part framework for securing autonomous enterprise workflows.