0
2.1.0
Zurich Patch 1, Zurich, Yokohama Patch 6, Yokohama Patch 3, Xanadu Patch 9
AI Control Tower enables enterprises to actively manage, optimize, govern, secure & measure the value of their AI investments, ensuring performance, compliance, & workforce transformation while seamlessly embedding AI into enterprise strategy. AI Control Tower centralized enterprise AI asset inventory, boosts efficiency in the AI development with automated workflows and embeds risk and compliance management in the AI asset lifecycle.
- AI Control Tower: Single pane view of status of AI in the organization with actionable insights.
- Centralized AI asset inventory: Centralized information about AI systems, AI models, prompts and datasets, and their relationships. Supports automated discovery of Now Assist skills and ServiceNow deployed models.
- AI Discovery: Discover and add enterprise AI assets in hyperscalers to the AI inventory
- AI asset lifecycle: Enables management of AI asset lifecycle from intake and to deployment, with review and governance tasks embedded in the appropriate phases of the lifecycle.
- AI Risk and compliance management: Embeds risk and impact assessments, application of policies and controls in the AI asset lifecycle to manage and mitigate risk and measure compliance against organizational policies and regulatory needs.
- AI Value and Adoption: enables value measurement and track adoption and usage of AI in the enterprise delivering continuous visibility into progress and tangible outcomes
- AI Case Management: Enables logging and management of AI cases and inquiries to address issues.
- AI Security and Privacy: enables monitoring AI agents, their access maps and usage to flag security vulnerabilities with elevated access and dormant assets
New:
Impact summary for 3P model provider choices
Updated:
Enhancements to Value and Adoption dashboards
Not applicable