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The Context OS for Agentic Intelligence

Get Agentic AI Maturity

Know Every Agent. Control Every Boundary

Enterprise AI deployments grow from a handful of agents to hundreds — across teams, departments, and use cases. Without a central registry, no one knows how many agents exist, what they access, or what they're authorized to do. The Agent Registry is RBAC for machines: a complete inventory with identity, authority scope, and full decision history

100%Agent visibility
Real-timeAuthority tracking
FullDecision history

You Can't Govern What You Can't See

Most enterprises can't answer basic questions about their AI agent fleet: How many agents are deployed? What data does each access? What decisions can each make? Who's responsible for each agent? Without answers, governance is impossible

Shadow agents proliferate

Teams deploy agents independently with tools like LangChain, CrewAI, or custom frameworks, leaving IT, security, and compliance blind to operations

Independent deployments bypass IT and security controls entirely

Shadow agents execute decisions without governance or tracking

Compliance teams have no evidence of deployed AI agents

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Outcome: Hidden agents create operational blind spots and untracked risk exposure

No identity model for machines

AI agents only have API keys, unlike humans with roles, permissions, and directory profiles, lacking identity, role, or accountability chains

API keys allow access without role-based restrictions or scope limitations

Agents lack structured identity, permissions, or a clear accountability chain

No IAM equivalent exists for machines to enforce policies or roles

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Outcome: Agent activity cannot be effectively traced or governed without structured identity and oversight

Agent sprawl creates compound risk

Each ungoverned agent introduces individual risk, which multiplies unpredictably when dozens interact across systems without coordination

Individual unmonitored agents increase operational and security risks dramatically

Interactions among multiple agents can create compounding and unpredictable effects

Absence of a registry prevents assessing fleet-wide risk and mitigating hazards

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Outcome: Agent sprawl amplifies systemic risk and prevents effective governance

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Take Full Control of Your AI Agents with AgentOps

Monitor performance, manage costs, ensure decision quality, and automate operational workflows — all with governed, real-time oversight and actionable insights

How the Agent Registry Works

The Agent Registry provides a complete, queryable inventory of every AI agent in the enterprise — with identity, authority, scope, and continuous monitoring

Agent Identity

Every agent gets a unique identity with metadata: name, purpose, owner, team, creation date, model provider, framework, and version. Identity is the foundation — you can't govern an anonymous agent

Unique agent identity Owner & team attribution Model & framework metadata Version tracking

Authority & Scope

Each agent's authority is explicitly defined: what data it can access, what actions it can take, what thresholds apply, and what escalation paths exist. Authority is a first-class attribute, not an afterthought

Data access scope Action authority limits Threshold definitions Escalation path mapping

Continuous Monitoring

The Registry continuously tracks agent behavior: decision volume, accuracy, compliance rate, escalation frequency, and resource consumption. Anomalous behavior triggers alerts. Performance trends inform optimization

Decision volume tracking Compliance rate monitoring Anomaly detection Performance trending

What Agent Registry Delivers

Agent Registry provides full visibility, identity management, risk tracking, and governance for AI agents across your enterprise fleet

Machine-Grade IAM

Every agent has a profile equivalent to human IAM entries, including identity, role, authority scope, groups, permissions, and accountability

This enables RBAC for machines, enforcing structured access instead of relying on API keys alone

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Agent identities are fully governed, traceable, and enforce machine-level RBAC effectively

Fleet Dashboard

Provides real-time visibility across the agent fleet, including count, status, authority use, compliance, cost, and performance metrics

Filters allow monitoring by team, department, use case, or risk level for detailed operational oversight

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Operators gain complete, actionable insights into fleet performance and compliance

Agent Discovery

Automatically discover agents deployed across the enterprise, including shadow agents created outside official channels

Any agent calling an API with AI reasoning is identified, cataloged, and integrated into governance workflows

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All agents, including shadow deployments, are identified and tracked automatically

Authority Audit Trail

Logs a complete history of every authority change: who granted access, when, why, and under which policy

Every step in the agent authority lifecycle is fully traceable for audits and compliance purposes

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All access changes are auditable, ensuring accountability and regulatory compliance

Risk Assessment

Each agent is assigned a risk score based on data sensitivity, decision authority, interaction volume, and governance coverage

Fleet-wide risk is quantified, monitored, and actionable for governance decisions

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Fleet-wide risk is quantified, monitored, and actionable for governance decisions

Lifecycle Management

Manage agents from creation to retirement, including provisioning, authority updates, version upgrades, suspension, and decommissioning

All changes are governed and traced, ensuring structured, compliant operations throughout each agent’s lifecycle

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Agents are securely managed across their entire operational lifecycle with full traceability

Connects to Your Enterprise Stack

ElixirData seamlessly integrates with leading identity providers, secrets management, zero trust, and PAM solutions for robust enterprise security and streamlined access control

Identity Providers

Okta
Azure AD
CyberArk
Ping Identity
SailPoint
Auth0

Agent Frameworks

LangChain
CrewAI
AutoGen
Semantic Kernel
Haystack
Custom MCP

Security & Compliance

Splunk
CrowdStrike
Wiz
Snyk
ServiceNow GRC
Drata

Observability

Datadog
New Relic
Grafana
Prometheus
Dynatrace
Honeycomb

Frequently Asked Questions

Each agent entry includes identity, purpose, owner, model, access scope, authority, escalations, history, compliance, performance metrics, and risk classification

Agent Discovery monitors API and decision patterns, catalogs unregistered AI agents with metadata, alerts teams, and assigns temporary restricted identities until onboarding

The EU AI Act requires AI inventories with risk, oversight, and transparency. The Agent Registry catalogs agents, risk, authority, oversight, traces, and audit-ready exports

Yes. The Agent Registry integrates with identity providers, links agents to humans for accountability, and aligns role-based access controls for consistent governance

Ready to Explore Agent Registry?

See how ElixirData provides enterprise-grade agent registry for mission-critical AI operations