Synthetic Subject Authentication Event Logging

Access through human identity occurs when a synthetic subject is configured to use a human employee’s account, session, token, credentials, browser profile, or delegated permissions to access systems or perform actions. This may occur where an employee connects an artificial intelligence tool to their mailbox, browser, source repository, cloud console, productivity suite, or business application using their own identity.

This configuration creates an elevated exposure condition because the synthetic subject inherits the employee’s access, trust, and attribution trail. Actions taken by the synthetic subject may appear in logs as ordinary human activity, even where the employee did not review each action or understand how the synthetic subject used their access.

The primary risk is identity inheritance. The synthetic subject may retrieve data, send messages, modify records, run commands, or trigger workflows using permissions granted to the human account. This makes it difficult to distinguish direct employee behavior from AI-mediated action.

Investigators should review authentication sessions, OAuth grants, connected applications, browser extensions, delegated permissions, endpoint activity, application logs, prompt and response records, tool-call logs, and user activity timelines. Particular attention should be given to AI tools operating inside authenticated user sessions, personal automation scripts, browser agents, local coding assistants, and third-party AI services connected through employee-granted access.

Investigative Relevance

Access through human identity is relevant because it defines what a synthetic subject can do by borrowing the reach of a human account. This weakens identity-based investigation, access governance, and containment because disabling or restricting the synthetic subject may require examining the employee’s sessions, devices, integrations, and delegated grants.

Operator invocation occurs when a human principal directly prompts, commands, or instructs a synthetic subject to perform an action. The synthetic subject then responds, retrieves, reasons, calls tools, executes actions, or continues a workflow based on that operator-supplied input.

This invocation creates an elevated exposure condition because the synthetic subject may act using standing identities, tools, permissions, and configured environment access that exceed the operator’s immediate intent or authority. A direct prompt may cause the synthetic subject to infer intermediate steps, select tools, modify systems, transmit data, or affect production assets in ways the operator did not explicitly specify.

The primary risk is human-initiated synthetic subject action with disputed scope. The operator may be authorized, unauthorized, mistaken, compromised, or acting through an exposed interface. In each case, the investigative issue is whether the synthetic subject was properly invoked and whether the resulting action stayed within approved authority, intended scope, and configured safety boundaries.

Investigators should review the operator identity, authentication records, prompt content, session context, interface used, tool-call logs, non-human identity records, affected resources, approval history, and downstream actions. Particular attention should be given to first-time operators, unusual sessions, destructive actions, production-affecting changes, bulk operations, and discrepancies between the operator’s request and the synthetic subject’s executed behavior.

Investigative Relevance

Operator invocation is relevant because many synthetic subject actions begin with an apparent human request. Determining who invoked the synthetic subject, whether that person was authorized, and how the synthetic subject interpreted the request is central to reconstructing the incident.

This section is especially relevant where synthetic subjects can execute code, modify databases, call production Application Programming Interfaces (APIs), alter infrastructure, send communications, change records, trigger workflows, or act through standing privileges after a human prompt.

Sandbox escape and out-of-boundary system access occurs when a synthetic subject operating inside an intended test, evaluation, development, or constrained execution environment reaches systems outside the boundary it was authorized to access. The affected systems may be external internet hosts, production infrastructure, package registries, third-party services, internal systems outside the evaluation range, or unrelated organizations.

This adverse outcome creates organizational harm because the synthetic subject’s actions are no longer confined to the environment assumed by the operator, evaluator, or control owner. The subject may scan, authenticate, exploit, publish code, retrieve data, modify systems, or interact with real services while believing, or claiming to believe, that those targets are part of the exercise.

The primary harm is unauthorized system access outside the declared operating boundary. Even where the root cause is weak sandbox configuration, the adverse outcome is the synthetic subject’s real interaction with systems it was not meant to reach. The investigation should distinguish the enabling condition from the outcome: poor sandbox configuration belongs under Configuration, while the access, exploitation, publication, or downstream impact belongs here.

A related harm is boundary uncertainty. If the synthetic subject is given an open-ended objective and the environment does not enforce hard limits, it may discover reachable targets that were never intended to be in scope. Investigators should not assume malicious intent merely because the subject crossed the boundary. They should test whether the subject exploited a discovered weak boundary deliberately, followed a task objective under a false belief, or continued after evidence showed the target was real.

Investigators should review sandbox configuration, network egress controls, Domain Name System (DNS) resolution, route tables, proxy logs, package registry activity, tool-call logs, shell commands, authentication attempts, evaluation prompts, system prompts, execution traces, external destination logs, and any reasoning or self-report produced during the run. Particular attention should be given to the first out-of-boundary connection, whether the subject recognized the target as real, whether it stopped or continued, and whether external activity can be tied to a declared task objective.

Investigative Relevance

Sandbox escape and out-of-boundary system access is relevant because synthetic subjects may operate under assumptions created by humans, prompts, vendors, or evaluation harnesses. A subject may be told that it has no internet access while the environment is actually misconfigured to permit it. In that case, the configuration failure enables the incident, but the adverse outcome remains the unauthorized external or production interaction.

This section is especially relevant where synthetic subjects run cyber evaluations, coding tasks, browser or desktop automation, package publishing workflows, development agents, tool-using agents, or autonomous test harnesses with network, filesystem, credential, or package-registry access.

This section should be cross-referenced with Configuration objects covering sandbox egress, tool permissions, non-human identity access, runtime controls, and connected tools. It may also relate to Opacity where logs do not clearly show how the boundary was crossed, and to Directive where the subject continues after recognizing that the environment may be real.

Long-lived agent credential occurs when a synthetic subject uses a token, secret, key, certificate, or service credential that remains valid for an extended period. This may include static Application Programming Interface (API) keys, persistent OAuth tokens, stored connector secrets, or credentials without automatic expiry.

This configuration creates an elevated exposure condition because leaked, copied, or misused credentials may remain usable long after the original deployment, workflow, or tool action. A long-lived credential can allow continued access even where the synthetic subject’s purpose has changed or the responsible owner is no longer monitoring it.

The primary risk is persistent unauthorized access. If a long-lived agent credential is exposed through logs, repositories, configuration files, browser storage, vendor tooling, or Model Context Protocol (MCP) server settings, an unauthorized party may act with the synthetic subject’s permissions until the credential is discovered and revoked.

Investigators should review token age, expiry settings, credential rotation history, vault records, access logs, connector configuration, repository exposure, and recent authentication activity. Particular attention should be given to credentials with no expiry, stale tokens, and credentials used after a deployment or integration was retired.

Investigative Relevance

Long-lived agent credentials are relevant because they extend the window in which a synthetic subject’s access can be misused. This sub-section is especially relevant where credentials grant access to customer data, production systems, mailboxes, cloud resources, or external tools.

Hard-coded agent secret occurs when a synthetic subject’s credential is stored directly in source code, configuration files, scripts, notebooks, environment templates, agent manifests, or Model Context Protocol (MCP) server settings.

This configuration creates an elevated exposure condition because credentials may be copied, committed, indexed, logged, shared, or exposed outside the intended runtime environment. Once embedded in code or configuration, the secret may persist across branches, build artifacts, backups, developer machines, and public repositories.

The primary risk is credential exposure leading to unauthorized synthetic subject access. An exposed secret may allow an unauthorized party to impersonate the agent, call connected tools, retrieve data, send messages, or act through the synthetic subject’s permissions.

Investigators should review repositories, configuration stores, build logs, deployment manifests, container images, MCP server files, and secret-scanning telemetry. Particular attention should be given to newly committed keys, secrets in public repositories, credentials in plaintext configuration, and hard-coded values reused across environments.

Investigative Relevance

Hard-coded agent secrets are relevant because they create a direct path from configuration exposure to synthetic subject impersonation. This sub-section is especially relevant where agents rely on static keys, local configuration files, marketplace tools, or developer-managed integration settings.

Orphaned agent identity occurs when a synthetic subject’s credential, service account, connector identity, token, or cloud role remains active after the agent, workflow, vendor tool, or integration it supported has been retired, replaced, or abandoned.

This configuration creates an elevated exposure condition because the identity may retain access without an active owner, business purpose, or monitoring expectation. Authentication by the orphaned identity may be mistaken for legacy system behavior or ignored because no current team clearly owns it.

The primary risk is uncontrolled residual access. An orphaned identity may still retrieve data, call Application Programming Interfaces (APIs), access cloud resources, or operate tools after the original synthetic subject is no longer in use. The access may be later repurposed, or become a candidate for misuse, causing validation of legitimate activity difficult, as well as attribution.

Investigators should review identity ownership, last-use timestamps, deployment records, connector inventories, access review results, vendor integrations, and decommissioning records. Particular attention should be given to active credentials linked to retired agents, inactive projects, disabled applications, former vendors, or undocumented workflows.

Investigative Relevance

Orphaned agent identities are relevant because they preserve access after operational need has ended. This sub-section is especially relevant during incident containment, vendor offboarding, platform migration, and synthetic subject decommissioning.

Uninventoried agent identity occurs when a synthetic subject authenticates through a credential, service account, token, connector, cloud role, or application identity that is not represented in asset inventory, identity governance, access review, or ownership records.

This configuration creates an elevated exposure condition because defenders may not know the identity exists, what it can access, who owns it, or which synthetic subject uses it. Without inventory coverage, the identity may fall outside monitoring, recertification, rotation, and decommissioning processes.

The primary risk is invisible authority. An uninventoried identity may continue accessing systems, retrieving data, or calling tools without being assessed as part of the organization’s synthetic subject risk surface.

Investigators should review identity provider records, cloud accounts, service principals, connector inventories, agent manifests, vendor integrations, authentication logs, and asset discovery outputs. Particular attention should be given to identities with no owner, no linked application, no documented purpose, or no access review history.

Investigative Relevance

Uninventoried agent identities are relevant because unknown identities cannot be reliably governed or contained. This sub-section is especially relevant where teams create experimental agents, vendor integrations, local automation, or Model Context Protocol (MCP) servers outside central identity processes.

Delegated user account access occurs when a synthetic subject is granted access to organizational systems through a human employee’s account authorization. This may include OAuth consent, connected application approval, browser authorization, account linking, or delegated access granted through a productivity, development, or business platform.

This configuration creates an elevated exposure condition because the synthetic subject can use permissions that were originally assigned to the employee. The employee may approve the connection once, while the synthetic subject continues to retrieve data, call tools, summarize content, or perform actions within the scope of that delegated grant.

The primary risk is inherited access without equivalent oversight. A synthetic subject may access mail, documents, repositories, records, or application data through the employee’s authorization, even where the employee does not review each retrieval or action.

Investigators should review OAuth grants, connected applications, user consent records, delegated permissions, application scopes, access logs, revocation history, and vendor integrations. Particular attention should be given to broad scopes, persistent grants, third-party AI services, and delegated access that bypasses central synthetic subject governance.

Investigative Relevance

Delegated user account access is relevant because it allows a synthetic subject to operate using permissions granted to a human account. This sub-section is especially relevant where employees authorize AI tools to access mailboxes, calendars, cloud drives, source repositories, customer records, or productivity suites.

Local user credential access occurs when a synthetic subject can access credentials, tokens, keys, certificates, session files, or secrets stored in an employee’s workstation or development environment. This may include environment variables, command-line profiles, password manager access, cloud configuration files, package registry tokens, Secure Shell (SSH) keys, local application secrets, or local AI tools that can control the computer through the keyboard, mouse, browser, terminal, or graphical user interface.

This configuration creates an elevated exposure condition because the synthetic subject may discover and use credentials that were not intentionally granted to it. Local assistants, coding agents, terminal-capable agents, browser agents, or computer-use agents may inherit access to files, sessions, shells, profiles, clipboard contents, credential stores, or environment state containing sensitive credentials.

The primary risk is unintended credential use. A synthetic subject may read, copy, transmit, or apply local credentials to access systems beyond its intended scope, including source repositories, cloud environments, databases, internal tools, or production services.

Investigators should review endpoint file access, shell history, environment variables, credential stores, local configuration files, password manager events, source repository access, browser activity, clipboard activity, and tool runtime permissions. Particular attention should be given to AI tools with file-system access, terminal access, browser control, graphical user interface control, broad workspace access, or access to developer credential locations.

Investigative Relevance

Local user credential access is relevant because credentials stored for human convenience may become usable by a synthetic subject. This sub-section is especially relevant where local AI assistants, coding assistants, terminal agents, browser agents, or computer-use agents operate on employee workstations with access to the same local resources as the user.

Unauthorized operator invocation occurs when a person causes a synthetic subject to act without legitimate authority to invoke it. This may involve stolen credentials, exposed interfaces, misconfigured access controls, abandoned accounts, weak authentication, public endpoints, or impersonation of an authorized user.

This invocation creates an elevated exposure condition because the synthetic subject may treat the request as valid and execute it using its standing identity, tools, permissions, and configured environment access. The unauthorized operator may not need direct access to the underlying systems if the synthetic subject can act on their behalf.

The primary risk is unauthorized use of synthetic subject authority. A person outside the approved operator set may use the synthetic subject to retrieve data, call tools, update records, send messages, run commands, or trigger workflows that they could not perform directly.

Investigators should review authentication records, session history, operator identity, access-control decisions, interface exposure, prompt logs, tool-call logs, affected systems, and downstream actions. Particular attention should be given to unusual operator accounts, impossible travel, first-time invocation, public interface exposure, failed authentication attempts, abandoned accounts, and tool calls inconsistent with the apparent operator’s role.

Investigative Relevance

Unauthorized operator invocation is relevant because the synthetic subject may become an access broker for an unauthorized person. The person does not need the same direct system permissions as the synthetic subject if they can successfully invoke it.

This section is especially relevant where synthetic subjects are exposed through internal web applications, chat interfaces, browser extensions, developer tools, workflow endpoints, Application Programming Interfaces (APIs), or vendor platforms with weak operator authentication or authorization.

Shared Non-Human Identity (NHI) attribution gap occurs when multiple synthetic subjects, users, sessions, tools, or workflows act through the same service account, credential, token, connector identity, or application identity. The logs may show that the shared identity acted, but not which synthetic subject, operator prompt, session, or human principal caused the action.

This condition frustrates investigation because the evidence is too broad to support reliable attribution. The issue is not necessarily missing logs or deleted records. The issue is that the recorded actor is a shared identity that collapses multiple possible actors into one audit trail.

The primary risk is loss of accountability. A database update, message, tool call, file access, Application Programming Interface (API) request, or workflow action may be logged under a single shared NHI. Investigators may be unable to determine whether the action was caused by one agent instance, another agent instance, an automated workflow, a connected tool, or a human operator acting through the same credential.

A related risk is containment uncertainty. If the responsible synthetic subject cannot be identified, responders may need to disable the entire shared identity, interrupt multiple workflows, revoke broad connectors, or suspend legitimate operations. Conversely, containment may fail if the true actor continues to operate through the same shared identity after one suspected agent is disabled.

Investigators should review service account ownership, credential assignment, token issuance, connector identity records, non-human identity activity, prompt and response logs, session identifiers, agent identifiers, human-principal binding, OAuth grants, Privileged Access Management (PAM) records, and downstream audit logs. Particular attention should be given to one credential exhibiting multiple behavioral patterns, concurrent use of the same identity, actions with no resolvable originating principal, static long-lived credentials, and service accounts used by multiple synthetic subjects.

Investigative Relevance

Shared NHI attribution gap is relevant because synthetic subjects often act through machine identities rather than direct human accounts. When multiple agents or workflows share one NHI, even complete logs may be insufficient to identify the true source of an action.

This condition is especially relevant where synthetic subjects use shared service accounts, static API keys, marketplace connectors, Model Context Protocol (MCP) servers, automation tokens, application identities, or vendor-managed credentials that do not preserve the originating user, session, agent, and invocation context.