Authentication can be completely correct while authority is completely wrong.
An AI coding agent can be properly authenticated to GitHub and still attempt a repository action it was never authorized to take. Authrizd checks the exact effect before execution.
See which repository, branch, workflow, or deployment an agent is authorized to affect—and the evidence behind the decision.
No authority, no action.
2-minute demo
An AI agent attempts a GitHub action it was never authorized to perform. Authrizd checks the exact action before execution, denies the unauthorized effect, and shows the authorized path forward.
Authrizd denies and fixes.
Authrizd retains the authority basis, decision, repository effect, and outcome as evidence.
Watch the demoNo signup required.
THE PROBLEM
Permission is often mistaken for authority. Technical access answers what an AI can do. It does not establish what the enterprise empowered it to do.
Human intent can get lost as review, prepare, analyze, investigate, or recommend becomes approve, release, deploy, change, communicate, or commit.
Authority can conflict, go stale, or appear to grow through delegation. Context, memory, comments, artifacts, prior sessions, and generated plans must not silently create or preserve authority.
CATEGORY DIFFERENTIATION
Authrizd does not demean or replace adjacent platforms. It consumes their evidence and works alongside their controls to answer the authority question they were not designed to answer.
FIRST LAUNCH VERTICAL
Every GitHub agent needs authority - not just access.
GitHub is Authrizd's first integrated authority environment - not the boundary of the platform. Authrizd determines whether an AI agent has authority for the exact action it is about to take before it changes code, invokes tools, uses MCP, launches workflows, delegates work, or moves changes toward production.
GitHub orchestrates the work. Authrizd authorizes the action.
Instructions guide agents. Logs observe agents. Authrizd proves authority.
Bind an approved task, issue, assignment, or enterprise mandate to the authority governing the work.
Determine whether the proposed effect remains inside the authorized repository, path, branch, environment, workflow, and task scope.
Determine whether an agent may invoke a tool, MCP operation, external system, or delegated agent.
Context continuity must not silently become authority continuity.
Instructions, comments, skills, artifacts, and prior machine-generated state can influence later agents without automatically granting authority.
Routine activity inside bounded authority can proceed. Novel, high-impact, ambiguous, unsupported, or human-reserved actions escalate.
Preserve the authority chain, decision, relevant evidence, GitHub effect, and outcome.
ENTERPRISE BREADTH
AI agents do not stop at the boundary of a repository. They cross identity systems, cloud platforms, data, CRM, HR, IT operations, customer systems, financial workflows, APIs, tools, and other agents. Authrizd is designed to preserve and resolve authority as those actions move across enterprise boundaries.
Start with GitHub. Extend authority across the enterprise.
One authority model across agents, tools, workflows, and enterprise systems.
GitHub
Launch FocusRepository, pull request, workflow, agent, MCP/tool, release, and deployment authority for autonomous software work.
Microsoft Entra
In ValidationIdentity and application evidence used as input to authority decisions.
Salesforce
PlannedCustomer-operation authority for AI actions in sales, service, and account workflows.
Workday
PlannedWorkforce and business-process authority evidence for HR and organizational workflows.
ServiceNow
PlannedChange, incident, service, and operational authority across IT workflows.
Databricks
PlannedData, notebook, job, model, and AI workflow authority evidence.
Microsoft Azure
RoadmapCloud-resource and deployment authority across Azure environments.
AWS
RoadmapCloud-resource and deployment authority across AWS environments.
Google Cloud
RoadmapCloud-resource and deployment authority across Google Cloud environments.
MCP
Protocol & Tool EcosystemAuthority for tool invocation and protocol-mediated agent actions.
A2A
Protocol & Tool EcosystemAuthority continuity across agent-to-agent delegation and handoffs.
APIs / Tools
Protocol & Tool EcosystemAuthority checks and evidence for custom tools and enterprise APIs.
HOW AUTHRIZD WORKS
Before an AI workflow starts, Authrizd brings together the enterprise authority that should govern it-human intent, organizational mandate, identity, delegation, approvals, policies, permissions, data, scope, context, and current conditions.
Authrizd applies that authority to the workflow and establishes the boundaries within which the AI is authorized to operate. Then it stays with the workflow.
Establish and apply human intent, mandate, identity, delegation, approvals, policies, permissions, scope, context, and current conditions before AI acts.
Continuously evaluate actions against the authority boundary and flag, escalate, require additional authority, block, or reevaluate at machine speed.
Preserve authority, decisions, actions, exceptions, outcomes, and evidence so teams can verify and replay consequential activity.
Register human and enterprise authority sources.
Connect agents, tools, systems, workflows, and proposed effects.
Apply issuer authority, hierarchy, precedence, delegation, time, exceptions, thresholds, context, and required approvals.
Separate identity, permission, policy, authority, context, proposed action, exact effect, and outcome.
Return authorized, constrained, approval required, escalated, paused, denied, unsupported, conflicting, expired, or unverifiable.
Store the authority basis, decision, relevant evidence, and outcome.
Authority changes. AI activity changes. Authrizd compares them continuously.
Humans retain mandate, approval, exception authority, policy authority, and accountability. Authrizd operationalizes those boundaries for AI.
Authrizd is prompt-based
Tell Authrizd what you want to accomplish in plain language. Authrizd does the underlying work-connecting authority sources, policies, evidence, identities, permissions, relationships, approvals, findings, and context-and continuously evaluates them against what the AI is trying to do.
Executives can establish and oversee an AI workflow with a simple prompt. Operators can go deeper into sources, findings, remediation, exceptions, conformance, and evidence when necessary.
Start with a prompt. Set the authority boundary. Let Authrizd evaluate it at machine speed.CORE PLATFORM CAPABILITIES
Authrizd's Authority Operations environment gives enterprises one place to establish, understand, monitor, and govern AI authority.
One place to establish, understand, monitor, and govern AI authority across sources, findings, approvals, exceptions, and evidence.
Discover and connect the policies, mandates, approvals, identities, permissions, applications, agents, evidence, and business context that define what AI is authorized to do. Apply those authority boundaries to the AI workflows they are intended to govern.
Identify where credentials, roles, permissions, APIs, and tools give AI more capability than its verified authority supports. See where authority is missing, incomplete, stale, conflicting, or no longer valid.
Use a simple prompt to investigate authority without using dashboards, filters, queries, or technical workflows. Authrizd traces the underlying authority, relationships, and evidence and gives you an evidence-grounded answer.
Ask Authrizd can explain authority. It cannot invent or grant it.Review findings, trace the supporting evidence, assign responsibility, remediate gaps, manage exceptions, obtain required approvals, and preserve the decision history.
Authority does not remain static. Authrizd identifies when permissions, ownership, approvals, evidence, delegation, context, or other conditions change and determines whether previously established authority still holds.
AI acts too quickly for humans to approve every decision manually. Humans establish the mandate and boundaries. Authrizd applies and evaluates them at machine speed.
Maintain the evidence behind consequential decisions so the enterprise can reconstruct what was authorized, what happened, why it was allowed or stopped, and whether the AI remained within its authority.
Authority before the action. Control during the action. Proof after the action.
APPROVAL SCALING
Human approval on every AI action does not scale. Excessive prompts create rubber-stamping. Authrizd allows routine work inside explicit bounded authority while escalating novel actions, ambiguous actions, high-impact actions, insufficient evidence, conflicting authority, and explicitly human-reserved decisions.
Routine authorized work can proceed. Exceptions get human attention.
AI AUTHORITY USE CASES
Authrizd is not limited to one type of AI agent, application, or business function. The same authority problem appears anywhere AI is allowed to move beyond recommendation and take action.
What AI can do: Payments, purchasing, account changes, vendor activity, approvals, financial reporting, and operational decisions.
Authority risk: An AI system may have valid access to financial and operational systems while lacking authority for a particular transaction, amount, account, vendor, or action.
What AI can do: AI agents increasingly have access to browsers, APIs, external services, networks, credentials, tools, and the public internet.
Authority risk: An agent can interpret an objective in a way that leads it outside the enterprise to a resource that was never intended to be part of the assignment. Technical reach should never be mistaken for authority to use it.
What AI can do: Customer records, sensitive information, internal data, data movement, substitutions, updates, and disclosure.
Authority risk: An AI system may technically possess broad access to enterprise data while its actual authority is limited to a specific customer, purpose, dataset, geography, or task.
What AI can do: Configuration changes, system administration, cloud operations, privileged actions, access changes, infrastructure workflows, and production environments.
Authority risk: An agent with powerful administrative credentials can make technically valid changes that exceed the task, approval, environment, or operational authority it was given.
What AI can do: Code changes, repository access, tool invocation, deployment, CI/CD workflows, autonomous development agents, and agent-to-agent software operations.
Authority risk: An AI developer may have permission to modify code or trigger deployment while lacking authority to change a repository, alter security controls, introduce dependencies, or deploy into production.
What AI can do: Government, defense, healthcare, financial services, critical infrastructure, and other environments where decisions carry significant consequences.
Authority risk: An AI action may require specific authority, approvals, separation of duties, evidence, and operating conditions-not simply technical access to the system.
What AI can do: One agent may interpret an objective, delegate part of it to another agent, which calls another tool, agent, API, or service before the final action occurs.
Authority risk: At every handoff, intent can be reinterpreted, context can change, and authority can expand beyond the original mandate.
EVIDENCE / TRUST CENTER
The Authrizd Trust Center documents security approach, data handling, read-only-first deployment, evidence practices, compliance alignment, limitations, and responsible disclosure.
Open Trust CenterENTERPRISE CTA
Authrizd keeps consequential AI action inside explicit human and enterprise mandate, delegation, constraints, and evidence.
Proof before execution.