Introducing AIControls from Nirmata!

1 July 2026

Introducing AIControls from Nirmata!

AIControls is a new product from Nirmata that provides complete visibility and controls on every AI call — built using the powerful and flexible Kyverno policy engine that secures Kubernetes clusters around the world.

Welcome to the loop

Look around. The global digital landscape isn’t just expanding; it’s exploding. Autonomous, non-deterministic intelligences are being wired into the very plumbing of the enterprise. LLMs are no longer isolated experiments; they are executing live code and making real-time production calls. It’s a hyper-connected, high-bandwidth rush into a future where we’ve built the engine but forgot the brakes.

You get a $4,601 invoice at month-end—with zero visibility into who authorized the spend, which agents are trapped in runaway loops, or if a developer leaked proprietary context. Governing by invoice is reactive and blind. To survive this shift, you must upgrade your neural architecture from reactive chaos to deterministic control.

Why AI Needs Governance

Governance isn’t bureaucracy; it’s survival. In high-velocity AI environments, manual oversight is a liability. You need Policy as Code (PaC)—executable, live rules that dictate system behavior in real-time.

Without automated governance, multi-user LLM networks default to chaos. This requires a fundamental architectural split: a dynamic control plane (the brain) to interpret intent, and a deterministic enforcement engine (the muscle) to ensure every AI call adheres to your security and budgetary guardrails.

The Surface of Risk

Most enterprises are currently leaking value through three ungoverned surfaces:

  • Data Exfiltration & Exposure: Sensitive IP and PII hemorrhaging through unmonitored prompts.
  • Unattributed Identity Risk: Anonymous, untraceable model calls bypassing corporate audit trails.
  • Autonomous Execution Failure: Agents invoking destructive tool calls without a deterministic human-in-the-loop gate.

If you aren’t governing these three layers, you aren’t governing AI—you’re just watching the tokens burn.

How to Scale the Chaos

To scale governance across thousands of developers and millions of automated API calls, you need to separate your intent from your execution. You need a ‘brain’ that understands business policy and ‘muscle’ that enforces it deterministically. If your plan involves email chains or approval committees, you’ve already lost.

  1. Policy as Code: Shared, human-readable, machine-enforceable rules that live in Git and deploy alongside your infrastructure.
  2. Flexible Exception Management: Real life is messy. Hard blocks break systems. You need a system that allows for dynamic exceptions without shattering the entire security apparatus.
  3. Standardized Reporting: If it isn’t logged, audited, and visualized, it didn’t happen. You need absolute visibility into every identity, model, cost, and policy decision.

Why Kyverno is the Alpha and the Omega of Policy as Code

Kyverno is the gold standard for cloud-native policy. Built on the principle that policy must be declarative and efficient, it eliminates the need for arcane DSLs by using YAML and CEL. It doesn’t just monitor; it validates, mutates, and generates. With over 3.2 billion downloads, Kyverno is the battle-tested deterministic “muscle” required to secure the AI frontier.

Even in the age of AI, policy enforcement must remain deterministic to ensure reliable security and operations. Relying solely on dynamic or probabilistic models is a risk—you need an unshakable foundation. The best practice is to combine a deterministic programmable enforcement engine, like Kyverno, with a dynamic control plane, like Nirmata. Think of it as the “brain” and the “muscle”: the control plane handles the dynamic, non-deterministic inputs of AI workloads and sessions, while the enforcement engine provides the hard, deterministic rules that keep your system safe and compliant. Together, they create a robust architecture that doesn’t just guess—it enforces.

Enter AIControls: The Gateway to the Machine

You cannot secure the AI future with yesterday’s proxy servers. You need a radical new architectural primitive.

Now, we are launching Nirmata AIControls (https://nirmata.com/aicontrols/).

AIControls

AIControls is a specialized AI governance gateway turbocharged by the Kyverno Policy as Code engine. It acts as an intelligent, high-speed interception layer sitting squarely between your users (or autonomous agents) and your AI models. It is designed to seamlessly handle multiple protocols, including LLM API calls, Model Context Protocol (MCP), and Agent-to-Agent (A2A).

By leveraging Kyverno CEL policies at the gateway level, AIControls gives you unprecedented power to:

  • Govern Identity & Access: Authenticate via OIDC/SSO (Okta, Azure AD, Google) and automatically map corporate groups to specific AI models. Track developer sessions with time-bound tokens and assign explicit digital identities to autonomous service agents.
  • Control Budget & Costs: Enforce real-time rate-limiting and token quotas before the bills spiral out of orbit.
  • Audit Everything: Capture an unalterable log of identity, model destination, token cost, and policy decisions.

It’s the ultimate convergence: the raw flexibility of the Model Context Protocol paired with the ironclad enforcement of Kyverno.

The AI revolution is moving at the speed of code. Velocity without control is just a crash waiting to happen. Stop flying blind.

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