Red Hat, Inc. announced automated policy as code, a new capability coming to future versions of Red Hat Ansible Automation Platform. The capability will help enforce policies and compliance across hybrid cloud estates that increasingly include a varied and growing number of AI applications. Another step in automation maturity, policy as code will make it possible to adhere to changing internal or external requirements and better prepare for sprawling infrastructure in support of scaling AI workloads.

Red Hat believes that this challenge can grow exponentially as AI scales the capabilities of individual systems and, in turn, moves further beyond what humans alone can manage. Implementing crucial policies across such expansive workloads not only requires extensive time and attention but also cross-functional team collaboration and documentation. Manual processes leave room for human error, and any mistakes can be costly.

Applying compliance directives to mission-critical systems before they become AI-centric is vital, given that they are typically the most impacted by compliance mandates that dictate system security, performance and auditability. Laying a foundation of mature automation with operational guardrails enables organizations to prepare a stronger security footprint for AI innovation. Automating policy as code will help customers better position themselves to operate IT in accordance with specific governance, risk and compliance (GRC) requirements.

It will help align technical environments and resources to agreed standards whenever ? before the automation is executed or live as components become out of policy ? and repeat wherever, extending control at scale across the hybrid cloud and keeping potential AI sprawl within predetermined limits.

Red Hat is making it easier to create and manage across the pre- and post-AI workload lifecycle, at scale across global operations and through automated audit reporting that helps free up technology teams. Automated policy as code will build the greater consistency of control needed for IT teams to have the confidence to invest in new technology by providing a layer of protection built into operations. With these programmatic guardrails, there are more assurances that AI is building on what?s already approved by the organization to deliver real business value. Ansible Automation Platform is the industry-leading, end-to-end automation platform.

It delivers a constant stream of innovation to free up IT teams with new features like Red Hat Ansible Lightspeed to bridge skills gaps and Event-Driven Ansible for an always-on tool. If teams are using an AI service?like Red Hat Ansible Lightspeed?to accelerate automation development, policy as code capabilitiescould be applied while creating automation content and governance can be infused into the learning model from the start. This will enable content creators to write code that automatically maintains mandated compliance requirements, greatly reducing the impact of skills gaps and human error in IT operations.

The tech preview of automated policy as code for Ansible Automation Platform is slated for availability in the coming months. Customers and partners can join advocacy groups where they can offer input, share and learn best practices. Partners can also get started on integration discussions, so recommended best practices can become automatically enforceable and/or included in service offerings.

The cloud is hybrid. So is AI.