Keep Identity And Authority
Connected From Login To Business Effect.

Build applications where user and workload identity, tenant, purpose, scope, delegated authority, policy, and assurance remain connected as work moves through data, AI, tools, people, durable execution, and business effects.

Frozion extends security beyond authentication so the application can continue to answer who is acting, for whom, under what authority, on which data, and whether that authority still applies to the action about to occur.

Least privilege acrossdata|AI|tools|people|durable execution|business effects|evidence

Build least privilege into the complete AI application

AI applications cross more security boundaries than a conventional request-response application. One operation may authenticate a user, retrieve enterprise knowledge, read operational data, assemble decision context, invoke a model, call an API or tool, delegate work to a workload identity, involve another person, wait for hours or days, resume on another runtime node, update an external system, and expose evidence to an auditor later.

Frozion keeps the active identity and authority connected across that path. This lets security teams control more than who can enter the application: it governs what information may influence work, which capabilities may act, whose authority each capability is using, what a person may review or approve, when stronger authentication is required, whether authorization remains valid after a wait, what external effect may be committed, and who may inspect the evidence afterward.

Benefit: Apply least privilege to the business operation itself, not only to the login that started it.

Carry authority through the application with Continuous Authority

Authentication establishes identity. The application still needs to preserve what that identity is allowed to do as work crosses data, services, AI, people, and time.

AI workflow over an application interface
Application surface for governed work
AI architecture visualization

Establish the authority

At the start of an application operation, establish the relevant security context: initiating subject, current actor, workload identity, tenant or legal entity, application, role and attributes, taxonomy and resource scope, purpose, assurance level, delegated authority, expiry, and other policy-relevant conditions.

Carry it into data

The same identity and scope participate in retrieval, operational data, knowledge graph traversal, and Context Assembly.

Carry it into execution

Models, deterministic services, APIs, and tools execute only inside the authority attached to the work.

Carry it into human decisions

A reviewer enters the same execution under their own authority, assurance, and permitted actions.

Keep security controls connected across every application boundary

The issue is not whether enterprises have controls. The issue is whether those controls stay connected as AI applications cross retrieval, tools, people, time, effects, and audit.

Boundary
When integrated separately
With Continuous Authority
Retrieval
Search can retrieve what a connector can see.
Candidate generation applies identity, tenant, purpose, taxonomy, application scope, and source permissions.
Tool and API calls
A generic service credential may become authority for the operation.
Capability use carries the initiating subject, current actor, workload identity, delegation chain, audience, and purpose.
Human approval
Approval is detached from the state and evidence reviewed.
Authorization is bound to the proposal, context, policy, assurance, and permitted action.
Waits and resumption
Authority is reconstructed from logs or session state.
Execution resumes with preserved identity, authority, policy version, and evidence references.
The final effect
Writeback relies on downstream authorization alone.
The effect is revalidated against the active authority before commit.

Use the right identity at every boundary

Frozion separates the identities and scopes that participate in a governed operation: initiating subject, current actor, workload identity, delegation chain, audience, purpose, and resource scope.

01

Initiating subject

Who or what started the operation.

02

Current actor

The person or workload currently participating.

03

Workload identity

The identity used by a service, model, tool, or runtime.

04

Purpose and scope

The business purpose, taxonomy, resource boundary, and application context.

01

RBAC

Broad capability and application access.

02

ABAC

Attributes of subject, resource, application, and execution.

03

Taxonomy scope

Enterprise classifications and categories.

04

Purpose-bound access

Access limited to the decision at hand.

05

Resource scope

Specific records, actions, and capabilities.

Benefit: Move beyond "can this role use this application?" to "may this actor use this information or capability for this purpose in this operation?"

Control what information may enter the decision

Security applies before a model generates an answer. The AI Data Plane can use the active authority to govern what information becomes eligible for retrieval and Context Assembly.

Permission-aware retrieval

Candidate generation applies user and workload identity, tenant, purpose, taxonomy, scope, and source permissions.

Agent-scoped Knowledge Graph

Relationships are projected according to the application's permitted scope.

Context Assembly

Eligible records, retrieved evidence, features, knowledge, and prior state become a governed Context Package.

Features and operational data

Calculated facts and current business entities retain tenant, entity, time, scope, version, and provenance.

Benefit: Control not only what a user can view, but what information is permitted to influence an AI or human decision.

See Continuous Authority in one business process

Consider the supplier bank-account-change application used across the website. A supplier requests a new payment account before an invoice is released.

01

Establish identity and scope

Identify user or workload, tenant, purpose, and permitted application scope.

02

Retrieve eligible evidence

Apply authority to documents, features, and knowledge relationships eligible for review.

03

Assemble governed context

Build the package of information allowed to shape the decision.

04

Analyze under active authority

Deterministic checks, models, APIs, and tools operate in the Execution Instance.

05

Apply policy

Add assurance, separation-of-duties, human review, and action requirements.

06

Bring in the reviewer

Reviewer receives only permitted records, evidence, facts, and proposed change.

07

Step up authentication

Verify the reviewer and bind approval to the proposal.

08

Wait without losing context

Preserve identity, authority, policy, state, versions, and evidence.

09

Revalidate the final action

Check that the account change is still authorized.

10

Preserve the evidence

Record who acted, what was approved, and what effect occurred.

Every boundary above belongs to one Execution Instance. The Control Plane carries that authority through analysis, reviewer's decision, durable wait, and account update.

Explore AI Control Plane

Existing identity systems

Consume identity provider, federation, MFA, passkey, directory, API gateway, and service IAM signals without replacing the systems you already use.

Application-level authority

Carry subject, workload, tenant, purpose, scope, policy, assurance, and delegated authority through the whole operation.

Audit-grade evidence

Show why the application allowed retrieval, action, approval, wait, and final effect without widening evidence access.