APAC Organizations Operate Most AI Agents Unsupervised
Only five percent of firms use specialized security tools to govern non-human AI identities in production environments.
Updated on Oct. 30, 2026 in Artificial Intelligence
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Ninety-five percent of organizations in the Asia-Pacific (APAC) region are deploying autonomous AI agents without formal supervision. While 85 percent of these enterprises have integrated AI agents into production environments, only 5 percent utilize security tools specifically designed to govern these non-human identities.
Why it matters
The rapid adoption of AI agents under pressure to drive growth has significantly outpaced the development of security infrastructure. This imbalance leaves most organizations vulnerable to shadow AI and identity management risks, as existing manual processes struggle to track automated operations.
Only 30 percent of APAC enterprises currently possess mature capabilities for detecting shadow AI, while 68 percent of organizations rely on ad hoc, manual processes to manage non-human identities.
The details
Organizations are currently relying on manual identity management to track non-human entities—the automated software scripts and AI agents that operate without direct human oversight. These agents are deployed directly into production environments, where they often bypass established security perimeters because specialized governance tools, which enforce permissions and monitor agent behavior, are not yet in wide use.
Timeline
October 30, 2026: Publication date of the report.
The Tech Race
The reliance on manual management creates a significant gap between rapid AI production deployment and robust security posture. This trend suggests that security maturation is currently trailing behind business-led AI integration across the Asia-Pacific sector.
Organizations that successfully secure non-human identities report productivity gains in 62 percent of cases. Meanwhile, 76 percent of global leaders anticipate that improving this identity governance will eventually lower the premiums or refine the terms of their cyber insurance.
The takeaway
The lack of specialized governance for non-human identities is a primary bottleneck in enterprise AI maturity. Leaders should monitor upcoming shifts in cyber insurance requirements, which are increasingly expected to mandate standardized identity security frameworks for AI agents.
Further reading
For more on the current state of enterprise deployment, see our Artificial Intelligence section.
Source note: This article includes information reported by ITWire.
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