Bring AI wherever you need it—Xage keeps it secure.

• Unified overlay mesh enforces Zero Trust across corporate, vendor, and BYOAI deployments.
• Covers the full spectrum—from enterprise LLMs to autonomous agents operating in IT, OT, and Cloud.
• Consistent policy and identity control across fragmented AI environments, without re-architecting.
• Tamperproof and quantum proof—nodes of the mesh co-operate to store identity, policy and log data securely, with no single point to hack.

Whether it’s infrastructure, AI pipelines, or agent activity—Xage ensures Zero Trust at every layer.

• Physical infrastructure — lock down access to servers, GPUs, and edge hardware – even cooling and power systems where required.
• Workloads & runtimes — enforce least-privilege controls on training, inference, and orchestration layers.
• Data & interactions — govern how LLMs, agents, and users access and act on sensitive data.

• Extend existing protections—no rework required. Xage makes AI adoption seamless by honoring the controls you already trust:
• Automatically enforces existing identity-based access rules when AI retrieves data from protected sources.
• No need to tag and rebuild: AI adheres to the same access boundaries as your users and apps.
  Eliminates friction in AI rollouts, preserving security while accelerating deployment.

Adaptive, Just-in-Time and Just-enough Access

• Just-in-time authorization grants access only when required—no standing privileges.
• Fine-grained, identity-based policies adapt to user roles, agent behavior, and workload context.
• No trade-off between speed and security—maintain operational agility while locking down overreach.
• Put Data and Rogue-AI concerns to rest with certainty—thanks to network-protocol-level enforcement.

• Automatic multihop security for chains of AI components. Xage traces identity and entitlements across chains of user, agents, LLMs and data sources to ensure correct access controls.
• Automatic multihop security across multi-layered and multi-zone architectures. Xage maintains identity, data and entitlement integrity across internal and external environments that may span IT, data center, cloud, and even third-party partners.
• LLM-to-Data Integration Across Layered and Zoned Networks: Xage enables secure LLM access to distributed data sources across segmented and multi-hop environments. For instance, an LLM hosted in the cloud can securely query data deep within an operational network—without exposing the core environment or requiring manual data uploads from each site to the main datacenter for LLM ingestion.

• Secure every interaction—Xage enforces policy from start to finish. Protect RAG pipelines, multi-LLM workflows, and autonomous agents with continuous, identity-based control across the entire AI lifecycle.
• Maintains real-time control over data access and behavior across dynamic AI processes.
• Enforces identity-based policies at each stage of the AI pipeline—training, retrieval, inference, and response.
• Prevents unauthorized access or actions across interconnected LLMs, agents, and data sources.
• Enables secure orchestration of complex, multi-agent workflows without sacrificing performance or agility.

Model Context Protocol (MCP) systems are expanding fast—but still lack standard credential controls. Xage fills the gap with modern, Zero Trust protection for all client-server interactions

• Protect Every Transaction: Enforce identity, role, and policy on every MCP request—human or machine.
• Credential Management at Scale: Centralize issuance, rotation, and revocation of MCP client/server credentials.
• Privileged Access: Apply just-in-time access and session controls across all MCP command paths.

Xage secures autonomous Agent2Agent (A2A) communications by applying identity-centric access controls to every machine interaction. This prevents unauthorized automation, data access, or command execution across distributed AI systems. 

The Xage Isolation Shield (XIS) provides a software wrapper for each AI agent, ensuring that i) only authenticated and authorized users or apps can send commands to the agent; ii) the agent must itself be authenticated and can only send commands and access data and other resources according to its own, and its users, authorizations. In other words, the XIS and the Xage Fabric apply Zero Trust control to each AI agent and to the interactions between them.

The Xage Fabric supplements its core Zero Trust access control capabilities with advanced sanitization and redaction capabilities for AI prompts, data retrievals and outputs to protect data privacy and compliance. Sensitive information such as PII, intellectual property, or confidential business data is automatically identified and masked out before reaching LLMs, AI agents, apps or users as applicable, reducing leakage risk. The Xage architecture also enables the use of third-party sanitization and redaction tools within the AI data flows.