Securing Agentic AI Workloads
Enable secure, compliant, and high-performance access for autonomous AI agents and workloads—across servers, VMs, and Kubernetes—without exposing your core infrastructure.
Secure Access for Modern AI-Driven Enterprises
As organizations accelerate AI adoption, agentic workloads—AI agents, automated processes, and machine identities—are increasingly deployed in core environments such as servers, virtual machines, and Kubernetes clusters. These deployments often expose APIs and web interfaces, creating new attack surfaces that traditional user-focused ZTNA and VPNs cannot adequately protect. AppGate ZTNA applies Zero Trust principles at the machine and workload level, ensuring only authorized agents and users on compliant systems can access specific services. This approach reduces the attack surface, enforces least-privilege access, and delivers high-performance, direct connections for both human and machine interactions.
- Direct-Routed ZTNA: Low-latency, highly performant connections for AI workloads—no backhauling or cloud chokepoints.
- Cloaked Infrastructure: AI services, APIs, and dashboards remain invisible until authenticated and authorized.
- Granular Access: Access is granted based on workload, user, and device identity—not network location or static IPs.
- Adaptive Risk Enforcement: Policies dynamically adjust based on workload posture, compliance state, and real-time context.
Implementation Steps
AppGate ZTNA makes it easy to secure agentic AI workloads, enabling rapid deployment and scaling without disrupting innovation or operations.
1 Deploy Headless Clients
Install AppGate’s Linux Headless Client on servers, VMs, or Kubernetes nodes running AI agents.
2 Integrate with Kubernetes
Use the Kubernetes injector to automatically provision ZTNA enforcement at the pod level, ensuring even rapidly scaling AI workloads remain protected.
3 Define Dynamic Access Policies
Create granular policies governing access to APIs, interfaces, or data—automatically adapting to roles, workload posture, and compliance needs.
4 Monitor and Adjust
Use AppGate’s centralized visibility to track activity and continuously refine policies to address threats, maintain compliance, and support evolving AI use cases.
Benefits and Outcomes
Implementing AppGate ZTNA for agentic AI delivers measurable improvements in security, compliance, and operational agility across your organization.
- Isolates AI agents and workloads, preventing unauthorized access within core environments.
- Empowers teams to deploy and scale AI workloads rapidly, without exposing APIs, web UIs, or sensitive data paths.
- Applies the same security principles to both human and machine identities, across servers, VMs, and Kubernetes clusters.
- Enforces least-privilege access, logs every interaction, and streamlines audits—even in dynamic, hybrid, or multi-cloud environments.
- Reduces manual segmentation and legacy access control overhead, while maintaining high performance and reliability for AI operations.
Live learning series and Q&A: ZTNA Table Talks
Get firsthand insights from our network security experts on the advantages of direct-routed ZTNA built for intricate hybrid IT environments. Each month features a different topic and live demo on how to strengthen security, control how data traverses your network, cut costs, and boost operational efficiencies.
