Secure autonomous AI with comprehensive visibility and deterministic control over LLMs, agents, data, tools, and APIs. Block rogue AI behavior, data leakage, and privilege escalation across cloud, SaaS, data center, OT, and edge.
Unified Zero Trust for AI
The Challenge
AI Is Moving Faster Than Security
AI agents adapt their behavior based on context, goals, tools, and data. As enterprises connect agents to APIs, SaaS apps, databases, cloud services, and operational systems, agents can access data, automate workflows, and take real-world actions.
But most organizations still lack visibility and control over what agents actually do.
Most AI security solutions focus on prompts and outputs, not the actions agents take across an organization’s systems. Without runtime visibility and control, agents can expose sensitive data, invoke unauthorized APIs, misuse delegated privileges, or escalate access across workflows.
The result: organizations either expose critical systems to unacceptable risk or limit AI to sandboxed pilots.
LLM & AI Agent Protection Challenges
AI Risk Across Distributed and Hybrid Environments
AI spans LLMs, AI agents, APIs, MCP services, cloud infrastructure, SaaS apps, IT systems, operational infrastructure, and edge environments.
These fragmented environments create overlapping entitlements, inconsistent policies, and dynamic data flows. Without Zero Trust controls, AI is vulnerable to privilege abuse, unauthorized actions, data leakage, rogue agents, and uncontrolled autonomous activity.
Lack of Visibility Into AI Actions
Most organizations lack visibility into what AI agents are actually doing, especially as employees increasingly deploy their own AI tools.
Organizations do not have full visibility into which systems agents accessed, what actions were taken, which data was retrieved, or which activities violated policies.
As AI agents become more autonomous, continuous visibility is essential for maintaining security, governance, and operational control.
Shadow AI and Unmanaged Agents
Organizations lack visibility into what AI agents have been deployed within their environment, as well as what AI cloud services employees are using.
Employees may deploy agents unsafely on their work machines, or bring small, unmanaged machines, such as Mac minis, to the office to run their preferred agent.
Likewise, organizations may find it hard to block unauthorized use of cloud-based AI models –– some of which grant themselves broad rights to use user queries, meaning that proprietary data can leak via the model to a competitor or other adversary.
Unauthorized Data Access and Privilege Escalation
AI agents should operate with the same or less privilege than the users, applications, and workflows they represent, with permissions constrained across workflows, delegated access limited, and sensitive data protected — even during prompt manipulation attempts.
AI agents require enforceable runtime controls over actions and data access, not just prompt-level guardrails.
AI Governance and Real-World Consequences
AI systems increasingly influence business and operational decisions.
Unauthorized or manipulated AI behavior can cause operational disruption, compliance violations, data exposure, infrastructure damage, financial loss, brand damage, and legal risk. Secure AI adoption requires deterministic visibility, control, and auditability across the entire AI interaction chain.
“Identity must be reimagined for AI. Applying Zero Trust principles to AI provides organizations with the ability to safeguard their AI initiatives while maintaining compliance and governance across complex, distributed environments.”
– Frank Dickson, Global VP of Security & Trust, IDC
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Securing AI with Zero Trust: Managing Identity and MCP Risks
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Xage Delivers Unified Visibility and Control for AI
Where other AI security solutions focus principally on prompts and outputs, Xage governs the actions AI systems can actually take.
Xage Agent Sentry provides runtime visibility and control for AI agents, while Xage Resource Gateway governs how agents access enterprise systems, data, APIs, and infrastructure. Together, they deliver unified visibility, access enforcement, and auditability across users, agents, LLMs, tools, APIs, and distributed environments.
Organizations can see what AI agents are doing, control what they are allowed to do, and govern entitlements across complex AI workflows.
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Securing Access to Sensitive Resources
Resource Gateway protects organizational resources and governs how AI systems interact with SaaS applications, databases, cloud services, internal applications, OT systems, and edge infrastructure via MCP and API. It brokers and secures every AI interaction through identity-based Zero Trust enforcement, ensuring agents only access authorized resources with least-privilege permissions.
The gateway provides comprehensive visibility into every resource interaction, including API calls, MCP tool invocations, delegated entitlements, and multi-agent workflows. By governing both API and MCP access through a unified control layer, Resource Gateway prevents unauthorized actions, blocks privilege escalation across AI workflows, and maintains complete auditability across the entire AI interaction chain.
Securing AI Agents
Xage Agent Sentry
Agent Sentry encapsulates AI agents wherever they run, providing deterministic visibility and control over everything entering and leaving the agent. It monitors prompts, tool usage, API calls, generated outputs, local system interactions, and agent-to-agent communications — creating a tamperproof, action-level record of agent behavior, not just prompts and responses.
Agent Sentry also establishes and governs agent identity and lifecycle management, assigning each agent a unique identity with controlled onboarding, monitoring, credentialing, and decommissioning. Even if an agent is compromised, Agent Sentry blocks unauthorized actions, limits blast radius, detects anomalous behavior, and preserves full audit visibility.
Securing AI Chatbots
AI chatbots, assistants, and copilots increasingly connect to sensitive systems such as HR, payroll, CRM, IT, and financial platforms. Without runtime access controls, they can expose confidential data, exceed user permissions, or unintentionally share sensitive information with external AI services.
Xage secures AI applications with identity-based Zero Trust policies that govern every interaction. Whether using Microsoft Copilot, Claude, or custom AI assistants, Xage ensures users, agents, and LLMs can access only authorized data and take approved actions. Built-in protections ensure PII and other sensitive information is kept safe, enforcing policy controls on prompts, responses, and data access.
Xage contains AI tampering by enforcing Zero Trust policies outside the AI: identity-based access, least privilege, protocol-level controls, segmentation, and audit logging. This means even a jailbroken or manipulated agent or LLM cannot reach unauthorized data, tools, APIs, or infrastructure.
Outcomes
Xage unified Zero Trust for LLMs and AI agents delivers outcomes that drive your organization forward.
Deploy Autonomous AI with Confidence
Move AI into production with comprehensive visibility and deterministic control over autonomous agents, LLMs, and AI workflows.
Prevent rogue AI behavior, protect sensitive data, and support both human-in-the-loop and fully autonomous AI operations.
Harden the AI Attack Surface
Stop data leakage, privilege escalation, and prompt-injection-driven abuse with identity-based Zero Trust enforcement.
Block unauthorized actions, enforce least privilege across AI workflows, and limit blast radius even if an agent becomes compromised.
Simplify Governance, Compliance, and Operations
Unify AI visibility, enforcement, and auditability across your infrastructure and AI ecosystem.
Maintain detailed audit trails, support enterprise governance requirements, and simplify operations with unified visibility and policy enforcement.
“As AI factories emerge as the foundational infrastructure accelerating AI innovation, safeguarding them has become a critical priority. Together, NVIDIA BlueField and Xage’s zero-trust security enable organizations to modernize their protection strategies across AI factories and infrastructure —driving secure, scalable innovation forward.”
– Ofir Arkin, Sr. Distinguished Architect, Cybersecurity Team at NVIDIA
Xage Benefits and Differentiation
Move Beyond Prompt Guardrails
Traditional AI security tools focus primarily on prompts, outputs, or model behavior. Xage goes further by governing the actions AI systems can actually take.
Xage records actions AI takes and enforces identity-based Zero Trust controls across network interactions, local events, and OS-level activity to prevent unauthorized actions, block privilege escalation, and protect critical resources, even during prompt manipulation attempts.
Deterministic Visibility and Control
Xage provides visibility and governance across the entire AI interaction chain. Organizations can trace which user initiated an action, which agent executed it, which resources were accessed, and whether actions were allowed or blocked.
By correlating prompts with actual agent behavior, Xage enables AI activity that is visible, controllable, and provable.
Govern Shadow AI
Employees are increasingly deploying unsanctioned AI tools and agents that operate outside approved enterprise controls. Xage extends Zero Trust enforcement and visibility across sanctioned and shadow AI environments alike.
Organizations can discover AI activity, govern how agents interact with enterprise systems and data, and enforce consistent policy across corporate, vendor, and BYOAI deployments.
Detect Rogue and Anomalous AI Behavior
Xage continuously monitors AI activity to identify unusual behavior, unauthorized actions, excessive data access, policy violations, and other indicators of compromised or rogue agents.
Behavioral monitoring and telemetry provide organizations with the visibility needed to investigate incidents, maintain operational oversight, and respond quickly to emerging threats across distributed AI environments.
Secure Every AI Deployment
Xage delivers unified Zero Trust protection across corporate AI deployments, vendor AI services, SaaS applications, cloud infrastructure, data centers, and OT environments.
The overlay architecture enables consistent identity and policy enforcement without requiring infrastructure re-architecture.
Production-Grade Autonomous AI
Xage is built for production AI, including autonomous and closed-loop systems.
Organizations can safely deploy agents, enforce continuous policy controls, limit unintended consequences, maintain auditability, and support both autonomous and human-in-the-loop workflows.
Secure AI Across Physical and Digital Infrastructure
Xage extends Zero Trust enforcement beyond applications and cloud services to the infrastructure AI systems depend on.
Protected environments include servers, GPUs, edge systems, data center infrastructure, DCIM systems, power systems, and building management systems.
Key Capabilities: Unified Zero Trust for LLMs and AI Agents
Overlay Architecture
Bring AI wherever you need it — Xage keeps it secure.
Unified overlay architecture enforces Zero Trust across corporate, vendor, and BYOAI environments.
Xage supports enterprise LLMs, autonomous AI agents, cloud deployments, SaaS environments, on-prem systems, and operational infrastructure.
The architecture provides consistent policy enforcement, identity-centric governance, distributed tamperproof logging, and no infrastructure redesign requirements
Securing the AI Stack
- Physical Infrastructure: Lock down access to servers, GPUs, edge hardware, power systems, cooling systems, and building infrastructure.
- Workloads and Runtimes: Enforce least-privilege access across training environments, inference systems, orchestration layers, and AI workflows.
- Data and Interactions: Govern how users, agents, and LLMs interact with sensitive enterprise data, APIs, SaaS applications, and operational systems.
Extend Existing Access Controls to AI
- Extend Existing Protections—No Rework Required: Xage makes AI adoption seamless by honoring the controls you already trust.
- Automatically Enforce Existing Access Rules: AI systems inherit the same identity-based access boundaries already used across your enterprise.
- No Tagging or Reclassification Required: AI adheres to existing user and application permissions without requiring costly data tagging or infrastructure rebuilds.
- Accelerate AI Deployment While Maintaining Governance: Eliminate friction in AI rollouts while preserving security, compliance, and operational control.
Just-in-Time, Just-Enough Access
Xage applies adaptive least-privilege access controls across users, agents, and AI workflows.
Capabilities include just-in-time authorization, zero standing privileges, identity-aware access policies, and time-bound delegated permissions.
This enables organizations to safely support highly dynamic AI workflows without excessive privilege exposure.
Multihop Identity and Privilege Enforcement
Xage traces identity, permissions, and delegated privileges across chained workflows involving users, agents, LLMs, APIs, tools, and data sources.
Low-privileged users can safely use highly privileged AI systems without privilege escalation.
Highly privileged users can delegate only task-specific, time-bound permissions to agents.
Xage maintains identity and entitlement integrity across multi-agent workflows, hybrid architectures, segmented environments, and cloud-to-edge deployments.
Secure Closed-Loop Autonomous AI
Enable long-running autonomous AI systems to safely observe, adapt, and act over time.
Xage continuously enforces policy controls across agent actions, AI workflows, data access, tool usage, and infrastructure interactions.
Organizations can enable fully autonomous AI, keep humans in the loop where needed, dynamically adjust permissions, and maintain governance visibility.
MCP, A2A and API Security
Xage secures Model Context Protocol (MCP) interactions, Agent-to-Agent (A2A) communications, and API-driven AI workflows.
Capabilities include identity enforcement, credential rotation, session governance, and just-in-time access controls across distributed AI systems.
AI Agent Lifecycle Management
Xage governs AI agents throughout their operational lifecycle.
Each agent receives a secure digital identity, agent-specific access policies, role-based permissions, and time-bound privileges.
As agents evolve and connect to new tools or systems, organizations can adjust policies without losing historical visibility into prior behavior.
Detect Rogue Agent Behavior
Xage records detailed AI activity telemetry to detect suspicious or rogue behavior.
Behavioral baselining can identify unusual activity spikes, unauthorized write attempts, excessive data access, policy violations, and unexpected workflow behavior.
Organizations can detect rogue agents early, feed telemetry into SIEM/SOC systems, and maintain operational oversight at scale.
AI Guardrails and Data Protection
Xage supplements Zero Trust access enforcement with data sanitization, redaction, privacy protection, and policy-aware filtering.
Sensitive information such as PII, intellectual property, and confidential business data can be automatically identified and protected before reaching LLMs, agents, applications, or users.
The architecture also supports integration with third-party guardrail and sanitization tools.
Shadow AI Discovery and Management
Xage discovers unmanaged AI agents, LLMs and resources, and can bring them under management or isolate them.
The platform can also manage access to AI agents that are deployed inside third-party SaaS applications, blocking the use of such agents if desired.
Real-world Use Cases
Governing AI Access to Sensitive Enterprise Data
An AI chatbot can securely retrieve authorized data while being blocked from:
- Unauthorized writes
- Privilege escalation
- Sensitive system modifications
- Data exfiltration
Every interaction is logged for governance and audit.
Stopping Prompt Injection and Rogue Behavior
If an AI agent receives hidden malicious instructions and attempts to create unauthorized scripts, modify systems, exfiltrate data, or invoke restricted APIs.
Xage detects and blocks the action while preserving detailed forensic visibility.
Securing Closed-Loop Autonomous AI
Long-running autonomous agents can:
- Observe environments
- Adapt behavior
- Trigger actions
- Orchestrate workflows
Xage continuously enforces policy and governance controls throughout the AI lifecycle.
Move AI Beyond the Sandbox
Safely deploy autonomous AI in production with deterministic visibility and control across agents, LLMs, APIs, SaaS apps, cloud infrastructure, OT, and edge environments.
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