Command center that serves as an AI copilot to automate governance uniformly across any infrastructure. Incorporates AI agents to manage and operate Kyverno with dashboards, account controls, analytics and integrations.
Command center that serves as an AI copilot to automate governance uniformly across any infrastructure. Incorporates AI agents to manage and operate Kyverno with dashboards, account controls, analytics and integrations.
Prevent misconfigurations and security issues with enforceable policies for security, access, and operations. AI agents keep their desired state and stop policy drift before it impacts users.
Use natural language to author policies, generate Kyverno compliant YAML and CEL, test changes and install workflow guardrails for approval.
Full view of your clusters, pipelines and cloud infrastructure with insight into your coverage, policy drift, namespaces and top misconfigurations or violations. Categorize and prioritize by impact, team, service and environment.
AI-generated resolutions as pull requests (PR) or pipeline actions. Apply time-boxed exceptions with owners, reasons, and expirations – every step tracked with a full audit trail.
Constant verification against standards like CIS and common regulatory frameworks. Map controls, schedule reports, and export evidence on demand.
Work with your technology stack: Git, Slack, Jira, ServiceNow, and more. Notifications, comments, and pull-request workflows keep developers, platform, and security teams in sync.
Use natural language to describe your policy intent and have your AI copilot translate into Kyverno compliant YAML and CEL that you can test and safely rollout.
Your AI copilot can show misconfigurations or violations, provide remediation pull requests (PR), rollback changes, or generate a compliance report all within your defined guardrails and workflow approvals.
clusters, repos and cloud infrastructure to the Control Hub.
in natural language and let your AI copilot create YAML and CEL-based policies, compliant with Kyverno, that you can test and safely rollout.
misconfigurations and violations automatically and let the AI agent categorize and group your issues by impact, owner and environment.
with AI‑generated pull requests or pipeline jobs. The AI agent simulates changes, enforces approvals, and supports rollback or canary releases.
with dashboards, mapped controls (CIS, PCI, HIPAA, SOC 2), scheduled reports, and exportable evidence.
Stop issues at the source with declarative policy-as-code along with a rich policy library. AI agents detect drift, propose safe fixes, and keep systems aligned.
Adopt the workflows teams already know and use. Integrations and notifications, speed reviews and approvals without slowing delivery.
Move policies into CI and delivery pipelines for early visibility and guided remediation. Maintain cloud-native agility with strong governance.
Continuously verify cluster and workload configuration. Map to standards and export audit-ready evidence when you need it.
Learn how a central control layer and AI agents standardize governance at scale while fitting existing workflows.
The onboarding process for Nirmata is very easy. It’s very quick, well-documented, and supported by a well-trained Nirmata team. It took us less than two hours for onboarding, and a couple of hours of training to implement the whole solution.
Kyverno is a Cloud Native Computing Foundation project built and maintained with the community. Nirmata contributes to Kyverno and provides enterprise-grade scale, operations, and AI-assisted governance.
Bring your violation backlog and compliance checklist—we’ll map it live in the demo.
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