Nirmata, the company behind Kyverno and a recognized leader in policy-as-code technology, has officially released the AI Platform Engineering Assistant, a new AI-driven solution designed to streamline Kubernetes security, compliance, and operational workflows. The tool supports Kubernetes environments, Infrastructure as Code (IaC), and hybrid-cloud setups, offering automated policy management at scale.
As AI-supported software development continues to grow, platform engineering teams face increasing pressure to manage sophisticated infrastructure. Industry reports indicate that software creation velocity has surged by 30x, while organizations are investing more than $350 billion in AI infrastructure. However, despite this rapid adoption, almost half of enterprises still report serious talent shortages in platform engineering. Nirmata’s AI assistant aims to ease this burden by automating Kubernetes policy maintenance and infrastructure security, allowing teams to scale efficiently.
Ritesh Patel, Vice President of Product at Nirmata, underscored the importance of this advancement.
"Platform engineering has become both the bottleneck and the enabler of the AI future," said Patel. "Without scalable governance, innovation stalls under complexity and risk. With AI-powered governance, Nirmata transforms policy-as-code into a continuous, intelligent system that enforces compliance without slowing teams down."
Built on Kyverno the CNCF-incubating policy-as-code engine for Kubernetes, IaC, and cloud the assistant leverages a multi-agent framework to automate policy development, detection, and remediation. This enables continuous governance and compliance while keeping human oversight in place for critical decisions. At the same time, it reduces the effort needed to manage security policies manually.
The platform introduces several key capabilities:
• Copilot Interface
A conversational AI assistant that replaces lengthy investigation cycles with quick insights. By using natural language, engineers can immediately access reports, infrastructure data, and remediation steps. This feature dramatically speeds up issue resolution.
• Policy-as-Code Agent
This agent converts natural language instructions into validated Kyverno policies for IaC and Kubernetes environments. By aligning every rule with compliance and security benchmarks, it simplifies policy creation, reduces syntax errors, and improves standardized enforcement across clusters and pipelines.
• Remediation Agent
This tool identifies configuration problems and policy violations while recommending and validating secure fixes. Engineers stay actively involved during the process, ensuring compliance and accuracy. This capability reduces the time spent diagnosing and resolving issues.
Collectively, these AI-powered agents create an automated and collaborative system that strengthens Kubernetes security, bolsters compliance adherence, and improves operational trust. At the same time, engineers are empowered to focus more on innovation instead of routine maintenance.
Nirmata’s AI Platform Engineering Assistant integrates with Kubernetes, IaC, and CI/CD environments, offering native support for managing multiple Kubernetes clusters. Because it fits smoothly within existing developer workflows, organizations can begin using it without disruptive changes.
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