AI Governance v.40 release
- Updated: 2026/03/30
What's new
| AI Evaluations deliver
governed, actionable performance insights for Agents and
Skills AI Evaluations introduces controlled, metered evaluation of AI Agents and AI Skills with licensing and AI credit consumption tied to entitlement tracking and enforcement for Cloud environments. This capability ensures teams can validate and benchmark AI performance with automated evaluation built into the AI agent development lifecycle. Licensed users have access to the evaluation feature and the automated scores and details via new evaluation pages, available under the AI menu. See, AI Evaluations. Available for Cloud environments only. • Entitlement & Usage Controls: Requires appropriate licensing (APA Essentials or APA Pro) and AI credits with usage tracking and enforcement. • Automatic & Manual Tools: Built-in support for automatic and manual evaluations using predefined metrics for measuring performance and scoring details. • Detailed Insights: Scores are backed by industry and research metrics, with breakdowns that illuminate expected vs. actual interactions, execution sequences, and behavior patterns. •
Flexible Dataset Support: Upload, reuse, or
manually define datasets with secure, audit-aligned
retention for repeatable evaluation cycles. Max file size is
50 MB. Datasets are retained for 1 year (reset on use). Note: Upload only available when
evaluating AI Skills. AI Evaluations helps teams optimize quality, reliability, and governance of AI-powered automations and agentic processes before production deployment and post-deployment. |
| AI
Agent Audit logs now available in AI
Governance Complete visibility and traceability of AI
Agent activities and interactions with LLM models for
governance and compliance auditing. Ensures compliance with
security policies and responsible AI governance requirements
through comprehensive audit trails.
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Fixes
| AI Prompt logs display beyond 1000 records in AI Governance, as expected. Previously, records would not load. |
Limitations
| In Arabic, masking is partially supported. Some entities might not be detected or masked consistently. |