Persistent Systems and API platform leader Kong have announced a strategic partnership providing governance and control for AI systems across hybrid and multi-cloud environments. As companies expand from AI trials to full-scale deployment, secure integration frameworks become crucial. This alliance marks a trend towards embedded governance at the API level, ensuring that agentic AI systems are secure and compliant, facilitating scalable and predictable workflow automation.
Business WireCollibra has introduced the AI Command Center, a platform enabling real-time governance for agentic AI in enterprises. By offering integrated lifecycle oversight and enforcement at the CI/CD pipeline level, the platform addresses operational risk by embedding compliance controls. This development minimizes the 'hallucination tax' through automated policy enforcement, supporting enterprises as they adopt multi-agent AI systems.
PR NewswireFiserv has launched agentOS, an operating system for banking sector agentic AI. The system, developed with several financial institutions, embeds policy controls and oversight, demonstrating efficiency gains, such as reducing report generation time significantly. This showcases the potential for agentic AI in regulated industries like banking, setting a precedent for sectors such as healthcare and energy in terms of governance and compliance.
Globe NewswirePwC implemented Anthropic's Claude Code and Cowork to establish an AI-driven Center of Excellence, resulting in significant efficiency improvements. The deployment reduced insurance underwriting cycle times from ten weeks to ten days and expedited security-related tasks from hours to minutes. This demonstrates the strategic integration of agentic AI in professional services, enhancing cycle time and cost efficiency while embedding governance in operations.
PwCEnterprises should consider platforms like Collibra's AI Command Center to embed real-time compliance and lifecycle oversight.
GCCs should explore agentOS-style solutions to drive efficiency gains in sectors like banking with rigorous compliance needs.
Without integrated governance, large-scale AI deployments may face compliance and security challenges due to insufficient oversight.
Agent systems lacking structured auditability can fall short of regulatory requirements, posing risk to enterprise operations.