The 2026-Ready AI Agent Governance Playbook: 5 Steps to Professional Control

In the coming years, AI governance will be the new frontier of competition. This five-step playbook from SUPERWISE provides a clear roadmap for organizations aiming to achieve professional control over their AI agents.

Identity Management: Conduct an agent discovery audit and assign unique identities to each AI agent. This is crucial for preventing “AI sprawl.”

Real-Time Monitoring: Proactively monitor and set up alerts for critical events and policy breaches to ensure AI security.

Policy-Based Guardrails: Implement automated guardrails to enforce policies, which helps scale governance effectively.

Secure Integrations: Address the security risks of AI agents accessing sensitive data by assessing API security and defining policies based on the principle of least privilege.

Continuous Compliance: Establish that AI compliance is an ongoing process by mapping regulatory requirements and using a continuous audit loop.

Following this playbook can lead to significant benefits, including a 75% reduction in security incidents and a 90% improvement in regulatory compliance scores.

How Platform-First Thinking Changes Everything

Despite impressive accuracy metrics, most predictive analytics projects in manufacturing and construction fail to deliver lasting impact. The key to success isn’t better models—it’s a platform-first approach that connects insights to decision-making systems, automates learning, and ensures scalability. Learn how industry leaders are transforming their predictive analytics into operational advantages by focusing on systems, not just models.