CData Expands Connect AI Platform with New Agent Tooling and Enterprise-Grade Security to Power Production AI Deployments

Key Takeaways

• CData Connect AI supports 350+ live data sources.
• New Connect Gateway adds on‑premise SAP, SQL Server access.
• Scoped toolkits limit agent context, reducing token usage.
• SCIM 2.0 and custom OAuth enable granular security.
• Benchmark shows 25‑point accuracy advantage over rivals.

Pulse Analysis

Enterprises are pouring billions into generative AI, yet most initiatives falter before reaching production because the underlying data layer cannot keep pace. Gartner projects $2.5 trillion in AI spend for 2026, but a CData State of AI Data Connectivity Report finds only 6% of firms feel their data infrastructure is ready. The missing pieces are live connectivity, semantic context, and enforceable governance—three pillars that CData now delivers through its Connect AI platform, turning AI agents into trustworthy, production‑grade components.

The upgraded Connect AI adds a Connect Gateway that bridges firewalled environments, granting agents real‑time, read‑write access to systems such as SAP, SQL Server, and PostgreSQL without data replication. Its new tool taxonomy—Universal, Source, and Custom—lets developers expose only the necessary schema and actions, trimming token usage and preventing accidental data leakage. Coupled with SCIM 2.0 provisioning and custom OAuth, organizations can enforce per‑user permissions, maintain audit trails, and meet compliance mandates while scaling AI workloads across 350+ sources.

Performance data underscores the strategic advantage: in a benchmark of 378 enterprise queries, Connect AI recorded 98.5% accuracy, eclipsing rivals that hovered between 65% and 75%. That margin translates into dramatically higher success rates for multi‑step autonomous workflows, reducing the need for manual remediation. As AI moves toward autonomous agents that read, write, and act on live business data, CData’s blend of connectivity, context, and control positions it as a critical enabler for firms seeking to unlock AI’s full economic potential.