Platform WatchJune 25, 2026via InfoQ AI/ML
Grab Builds Secure Agentic AI Workload Platform
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.
Key signals
- Palana: Kubernetes-native secure execution platform for AI agents
- Built by Grab's security team
- Addresses model-driven agent risks: unpredictable tool-use, code-writing, prompt injection
- Security mechanisms: isolated namespaces, out-of-process control planes, proxy-mediated secrets with Vault integration
- Infrastructure-level threat containment approach
- Published June 25, 2026
The hook
Not a sandbox. Grab shipped Palana—a Kubernetes-native platform that lets you run autonomous AI agents without losing sleep over prompt injection attacks.
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 level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.
By Patrick Farry