Data Security for the Agentic Enterprise
An IDC Analyst Connection Q&A with Research Director Jennifer Glenn on building trusted data for agentic AI, covering visibility, lineage, and action.
Why trusted data is the new AI differentiator
How agentic workflows multiply data risk
A three-part framework: visibility, lineage, action
What to look for in a data security partner
Trusted by security teams at
What the data shows
Four IDC Data Points on Agentic AI's Impact on Enterprise Data Security
38%
Agentic AI's share of AI budgets
of enterprise AI budgets go to agentic AI this year.
46%
Visibility gap: DSPM adoption low
of organizations have adopted data security posture management (IDC).
30%
Discovery and classification lag
of organizations have implemented dedicated discovery and classification tools (IDC).
44%
Agent spending set to accelerate
of organizations plan to significantly increase spending on building custom AI agents in 2026 (IDC).
"Trusted data is secure, accurate, monitored, and well-governed. Without that foundation, an agent just automates bad decisions faster."