Blended identity context is P0 Security’s model for preserving the originator, every participating agent, relevant permissions, delegation and task context while keeping each identity distinguishable through policy evaluation and enforcement.
It exists to answer one authorization question: can this agent, acting for this originator and for this purpose, perform this action against this target right now?
Blended identity context supplies the facts for that evaluation. It doesn’t copy the originator’s permissions to the agent, and it doesn’t restrict every decision to permissions both identities already hold. Runtime authorization decides what is permitted, and access-management and enforcement controls apply that decision.
Key takeaways
- In delegated workflows, the originator and the acting agent play different roles. The originator may be a person, service account, workload or another agent.
- Multi-agent workflows need to preserve every participating agent and the delegation relationships between them.
- Blended identity context informs authorization and enforcement. It doesn’t grant access or replace credentials.
- Existing permissions are inputs to policy evaluation, not automatic authorization for the current task.
- The same context can shape the ephemeral target identity and task-scoped permissions used in supported systems.
- Evidence should connect the identities and delegation to the request, policy, decision, enforcement result and action outcome.
Why does blended identity context matter?
A single delegated action can involve several identities with different roles and permissions. The identity that starts a task is often not the agent executing it, and neither may be the service account that actually reaches the target system.
When those distinctions collapse, policy loses the facts it needs to evaluate the request. Logs suffer too: they show which account acted but not which agent did the work, who or what started it or which task it served.
Blended identity context closes that gap within the broader runtime access control for AI agents model.
Originator and acting agent are different roles
Suppose an employee asks a support agent to retrieve a customer’s order history. The employee is the originator and the support agent is the acting agent. The request also carries a purpose, a tool, a target customer record and a requested operation.
Other workflows start with a service or workload. A scheduled job might launch an orchestrator agent, which hands a reconciliation task to a sub-agent. Keeping only the sub-agent’s identity would lose both the workload that started the work and the handoff in between.
The model should reflect the workflow as it actually runs. When an automated process starts the task or an agent acts on its own, there is no human originator to record, and the model shouldn’t invent one.
Evaluating only one identity can leave important questions unanswered
Agent identity alone tells you which agent is requesting an action. Without originator and task context, though, policy may not be able to tell apart requests from different users or workflows that share that agent.
A support agent, for example, may hold a credential that can read many customer accounts. Knowing which agent presented the credential says nothing about which customer records the current support task needs.
Originator identity alone tells you who or what started the work. It can leave out which agent is executing the task, which delegation steps occurred and what restrictions apply to the agent’s use of tools.
An engineer might hold production privileges while asking a coding agent to summarize a pull request. That existing access doesn’t mean production changes are authorized for the summary task.
How context helps address recurring access failures
Blended identity context helps control three recurring agentic access failures:
- Incorrect attribution. Account-level logs may show a service account without identifying the originator or participating agents. Preserved identity and delegation context ties the action back to the workflow behind it.
- Rogue actions. An agent may have tools or permissions that are inappropriate for a particular user or task. Originator, delegation and purpose context lets policy tell those requests apart.
- Standing privileges and static credentials. Long-lived access often exceeds what the current task requires. Blended identity context can inform decisions about narrower, temporary access, while provisioning and revocation controls carry out that access lifecycle.
Context on its own doesn’t enforce policy, remove credentials or eliminate standing privileges. Those outcomes depend on the controls connected to the decision.
What does blended identity context preserve?
Which facts matter depends on the workflow and on how sensitive the requested action is.
| Context element | What it contributes |
| Originator | The person, service account, workload or agent that initiated or delegated the task |
| Participating agents | Each agent involved in delegation or execution, with its identity kept distinguishable |
| Relevant permissions | Access available to the participating identities and credentials |
| Delegation relationships | Who delegated work to whom and the scope or constraints attached to each handoff |
| Task or purpose | The work the requested action is meant to support |
| Current request | The tool, target resource and operation being attempted |
| Relevant conditions | Task state, risk, time, approval status or other facts required by policy |
The tool and the target resource are separate inputs. Permission to invoke a billing tool is not permission to read every customer record or change every field that tool can reach.
The context also has to come from trustworthy sources. An agent saying it is working on an approved task is not proof that the request is authorized.
How does blended identity context work?
The workflow establishes the identities involved, preserves delegation and task context, uses that context in policy evaluation and carries the distinctions through enforcement and evidence.
1. Establish the identities involved
Verify the originator and participating agents with mechanisms suited to each identity type. A person may authenticate through an identity provider, while a workload or agent may use its own verifiable identity.
Preserve the relationship between those identities without collapsing them into a single actor. Authentication establishes who or what is involved; authorization determines whether the requested action is permitted.
A signed token, trusted request context or another verifiable mechanism can carry these associations. The model doesn’t require every credential to contain the entire identity chain.
2. Preserve delegation and task context through handoffs
When one agent delegates work to another, keep the originator, participating agents, relevant permissions, delegation relationships and task context with the request.
That context should stay attached as the request moves through the full action chain:
Originator → participating agents and delegation → tool → target resource → requested action → outcome.
The original task gives later actions their context, but it doesn’t authorize everything a sub-agent attempts. Each sensitive request still needs its own evaluation against policy and current conditions.
3. Evaluate the requested action
When a sensitive action is attempted, runtime authorization evaluates the context against policy. The result may allow the action, limit its scope, require review, deny it or direct access to end.
Existing permissions can inform that decision, but having them doesn’t settle whether the action serves the current task.
Nor is the decision limited to permissions the originator and agent already share. Policy may authorize narrowly scoped access that supported access-management controls then create or activate.
For the decision workflow and component responsibilities, see how runtime authorization works within runtime access control for AI agents.
4. Connect the context to enforcement and evidence
Identity, delegation and task context should shape the access used to carry out the decision. In P0’s model, that can mean selecting an ephemeral target identity and task-scoped permissions for supported systems. The accountable originator and agent identities stay distinct from the temporary identity used to reach the target.
Action-level controls govern the requested operation along a protected path. Where native target-system enforcement is supported, the target authorizes the action through its own access controls using the resulting identity and permissions. Either way, enforcement sits outside the agent’s own decision logic.
Evidence should connect the identities, delegation and request to the policy, authorization decision, enforcement result and action outcome. Where temporary access is involved, it should also capture access activation and revocation. These records can be correlated across systems, so no single target-system log has to contain the full chain.
Blended identity context vs. permission inheritance
Permission inheritance and blended identity context answer different questions. Inheritance determines how permissions become available. Blended identity context preserves the identities and facts policy needs to evaluate how those permissions are used.
| Dimension | Agent identity alone | Originator identity alone | Blended identity context |
| Identity information | Identifies the agent requesting access | Identifies the person or system initiating the task | Keeps the originator and every participating agent distinguishable |
| Delegation information | May omit upstream delegation | May omit the agent and later handoffs | Preserves relevant delegation relationships |
| Task context | Must be supplied separately | Must be supplied separately | Remains associated with the identities and current request |
| Permission implications | Agent permissions alone do not establish task authorization | Originator permissions alone do not establish task authorization | Policy evaluates relevant permissions alongside delegation, purpose and request context |
| Access lifetime | Depends on the access controls used | Depends on the access controls used | Can inform task-scoped access; lifecycle controls establish and end it |
| Evidence contribution | Identifies the agent, with other context dependent on implementation | Identifies the originator, with other context dependent on implementation | Supports traceability across identities, delegation, decision, enforcement and outcome |
These are differences in the context available, not guarantees about any particular implementation. Agent-only or delegated-access systems can also use runtime checks, scoped permissions and temporary credentials.
Blended identity context doesn’t stop an agent from using delegated access. What it avoids is treating copied permissions or a usable credential as enough justification for the current action.
Examples of blended identity context
These examples illustrate policy and enforcement behavior. They are not claims about support for a particular integration.
Support agent limited to the customer on a ticket
A support employee asks an agent to update a customer’s shipping address. The agent’s customer relationship management (CRM) integration can technically reach many accounts.
The authorization request carries the employee, the acting agent, the verified ticket, the customer record and the requested field change. With that, policy can allow access to that customer’s record, require review for selected changes and deny requests against unrelated accounts.
The enforcement controls still have to apply those restrictions. Including a ticket identifier in the request doesn’t, on its own, constrain downstream access.
Multi-agent workflow started by a workload
A scheduled job launches an orchestrator agent, which delegates a reconciliation task to a sub-agent.
The sub-agent’s request preserves the initiating workload, the orchestrator, the sub-agent, their delegation relationships and the task scope. Policy evaluates the requested records and operations with all of that in view.
The evidence traces the sub-agent’s action back through each handoff to the job that started it, instead of stopping at whichever credential made the final API call.
How blended identity context fits into P0’s model
In P0 Security’s runtime access control model, blended identity context connects accountable identities and delegation to runtime policy evaluation, access selection, enforcement and evidence.
P0 Runtime Access for AI is the AI solution within the P0 Runtime Access platform. Blended identity context’s job in that architecture is to preserve the facts needed to determine appropriate access and to explain how it was used. Where native enforcement is supported, those facts can inform ephemeral target identities and task-scoped permissions.
The model works with existing identity and access management (IAM), privileged access management (PAM) and target systems. Identity systems supply identity information. Authorization evaluates the request. Access-management and enforcement controls then activate and govern the permitted access.
For design steps and validation, see how to build a runtime authorization model for AI agents.
P0 does not evaluate whether a prompt is malicious, whether model output is safe or how sensitive data should be classified. P0 determines whether the identities involved are authorized to take the requested action and enforces that decision before the action reaches the sensitive resource.
Frequently asked questions
Does blended identity context mean the agent inherits the user’s permissions?
No. The originator’s permissions are relevant context, rather than a permission set automatically copied to the agent. Policy evaluates the requested action, delegation, task and current conditions to determine what is permitted.
Must authorization use only permissions the originator and agent already share?
No. Blended identity context does not require an intersection of their existing permission sets. Policy may authorize narrowly scoped access that supported controls create or activate for the task.
How does blended identity context differ from agent identity?
Agent identity establishes which agent is acting. Blended identity context preserves that identity alongside the originator, other participating agents, relevant permissions, delegation and task context.
Does every agent action require a separate human originator or human approval?
No. A task may originate with a workload, service account or another agent. The model should represent the actual initiating identity and delegation relationships. Human review is required only when policy calls for it.
Summary
Blended identity context preserves who or what started a task, every participating agent, the relevant permissions, the delegation and the purpose, and it keeps each identity distinguishable through evaluation and enforcement.
It supplies context for authorization; it doesn’t grant access. Connected controls decide how permitted access is activated, enforced and ended, and evidence ties the identities and request to the decision and its outcome.