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Grab Builds Secure Agentic AI Workload Platform

Not a sandbox. Grab shipped Palana—a Kubernetes-native platform that lets you run autonomous AI agents without losing sleep over prompt injection attacks.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As autonomous agents move from research to production, infrastructure-level security is becoming table-stakes. Grab's Palana demonstrates how enterprises are operationalizing agent safety at scale, not as an afterthought.

The key facts

6 to know
  1. Palana: Kubernetes-native secure execution platform for AI agents

  2. Built by Grab's security team

  3. Addresses model-driven agent risks: unpredictable tool-use, code-writing, prompt injection

  4. Security mechanisms: isolated namespaces, out-of-process control planes, proxy-mediated secrets with Vault integration

  5. Infrastructure-level threat containment approach

  6. Published June 25, 2026

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure…
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