Nirmata AI Agents

From personal agents to autonomous in-cluster workflows — AI that automates policy development, security enforcement, and remediation.

Applies to: Nirmata AI Agents 1.0 and later

Nirmata’s AI Agents save critical time and resources by automating complex tasks across Kubernetes clusters, IaC and CI/CD pipelines, and Cloud — from local development to production environments.

Nirmata AI Agents are available as:

Nirmata Assistant

Security-first CLI agent for policy development, testing, cluster management, and Kubernetes operations — with built-in session management and 15+ specialized skills.

Service Agents

Autonomous agents deployed inside your clusters that continuously detect violations and open GitOps PRs to remediate them.

Cloud Agents

On-demand and scheduled AI agents for cost analysis, security auditing, workload troubleshooting, and remediation — launched directly from Nirmata Control Hub.

Copilot

Context-aware AI embedded in Nirmata Control Hub that provides intelligent insights and recommendations using your full platform context and data.

Key Benefits

Accelerate Development & Operations

  • Save Time – Reduce time spent on policy creation, troubleshooting, and remediation from days and hours to minutes with AI-guided workflows
  • Faster Issue Resolution – Get instant answers and automated fixes instead of searching through documentation or waiting for support
  • Accelerated Onboarding – New team members become productive faster with AI-powered guidance and contextual recommendations

Reduce Costs & Maximize Efficiency

  • Do More with Less – Empower smaller teams to manage larger, more complex platforms and environments
  • Lower Operational Costs – Automated remediation and policy enforcement reduce manual intervention and operational overhead
  • Cost-Effective AI – Optimized for accuracy and low cost, delivering reliable results without excessive token consumption or API expenses

Improve Security & Compliance

  • Shift Left with Confidence – Catch security and compliance issues during development before they reach production
  • Continuous Enforcement – Automated policy enforcement ensures consistent governance across all environments 24/7
  • Reduce Risk – Proactive detection and remediation minimize security vulnerabilities and compliance violations

Enhance Accuracy & Reliability

  • High Accuracy – Purpose-built AI models trained specifically for Kubernetes and cloud-native environments
  • Context-Aware Decisions – Leverages your cluster state, policies, and organizational context for precise recommendations
  • Trusted Automation – Validated workflows ensure changes are safe and aligned with best practices

Scale Platform Engineering

  • Unified Governance – Single framework spanning CLI, clusters, and cloud for consistent policy enforcement everywhere
  • Self-Service Capabilities – Developers get instant feedback and guidance without depending on platform teams
  • Knowledge Democratization – Share expertise across teams through AI-powered best practices and automation

Nirmata Assistant

AI-powered personal agent for platform engineers — policy development, testing, and Kubernetes operations from your terminal.

AI Copilot

AI-powered assistant for Kubernetes policies, security, governance, and Policy as Code

Cloud Agents

On-demand and scheduled AI agents for Kubernetes analysis, cost optimization, security auditing, and remediation.

Service Agents

Autonomous AI agents deployed inside your Kubernetes clusters for continuous policy violation detection and GitOps-friendly remediation.