Original research, industry data, and product benchmarks on enterprise AI agent deployment, security, and governance. Cite with attribution to Trust3 AI (formerly Privacera).
have active AI agents deployed in production as of 2026 — most without dedicated governance controls.
Enterprises consistently undercount their active AI agents by 3–10x versus what Agent Discovery finds on first scan.
Analyst research projects 40% of enterprise AI initiatives will stall or be cancelled due to unresolved governance and compliance concerns.
A tenant-isolation flaw in Asana’s MCP server exposed up to 1,000 enterprises to cross-tenant data access, disclosed in 2026.
WordPress MCP AI Engine plugins put over 100,000 sites at risk via unauthenticated tool calls in 2025–2026.
Security researchers demonstrated complete Azure tenant takeover via a single poisoned MCP server, illustrating the blast radius of insufficient MCP controls.
Agent deployments reach production 10x faster when governance guardrails are embedded from day one. Approval cycles compress from weeks to seconds.
Trust3 AI natively integrates with 50+ data sources including Snowflake, Databricks, Apache Iceberg, AWS, GCP, Azure, and Salesforce Agentforce.
A Trust3 AI proof-of-concept covering agent discovery, observability, and a representative PBAC policy runs in two to four weeks.
Trust3 AI publishes original research on enterprise AI agent adoption, security incidents, and governance benchmarks. Formerly Privacera. Last updated: June 2026.