Collibra announced the release of its AI Command Center, a control plane designed for real-time governance of agentic AI systems. This platform addresses 'agent sprawl' by centralizing oversight, enhancing compliance, and preventing potential AI missteps. Through a partnership with Giskard, Collibra provides integrated model testing and oversight tools crucial for scaling AI responsibly. This is vital for enterprise AI leaders to maintain trust and ensure compliance in autonomous systems.
PR NewswireTechRadar reports on the proliferation of 'agent skills' - portable AI capabilities creating new supply-chain risks by functioning without formal governance. These skills can potentially become a vulnerability similar to 'Shadow AI,' emphasizing the need for robust oversight frameworks. Visibility and traceability of these skills are essential for preventing uncontrolled behaviors, highlighting a shift in governance needs for enterprises deploying agentic AI systems.
TechRadarEnterprise platforms are moving agentic automation from prototypes to production-ready systems. Microsoft's Copilot Studio, Notion’s Developer Platform, and Freshworks’ Freddy AI showcase advancements in governance and orchestration for agentic workflows. These developments reduce integration challenges, support compliance, and accelerate adoption, marking a significant shift in enterprise AI strategy towards operational readiness in sensitive environments.
Business Automation Weekly AI NewsPwC has established a Center of Excellence in partnership with Google Cloud’s Gemini Enterprise platform, focusing on deploying agentic AI workflows across various industries. This initiative integrates governance, audit, and policy enforcement agents directly into execution workflows, enabling enterprises to maintain innovation while ensuring regulatory compliance. The CoE supports sectors such as retail, healthcare, and finance in achieving transformation gains through agent-enabled automation and optimization.
PwCEnterprises need to integrate governance tools within agentic AI systems from the outset, avoiding reactive oversight which can be more costly and complex.
Develop and employ systems for tracking AI skills across enterprises to maintain control and prevent shadow operations.
Leverage collaborations with vendors offering built-in governance and orchestration, preparing infrastructures for robust agentic deployments.
Unchecked proliferation of agent skills outside governance, leading to compliance breaches and increased vulnerability within enterprise systems.
As agentic workflows move to production, gaps in oversight mechanisms could allow unchecked decisions impacting regulatory standards.
Poor implementation of role-based access and identity controls can result in unauthorized actions and broaden security risks.