Privileged Access Management (PAM) & Secrets Vaulting

Access through Non-Human Identity (NHI) occurs when a synthetic subject authenticates or acts using a machine, service, workload, application, or agent identity rather than a direct human login. This may include service accounts, application credentials, OAuth tokens, Application Programming Interface (API) keys, cloud roles, connector credentials, or Model Context Protocol (MCP) server secrets.

This configuration creates an elevated exposure condition because the synthetic subject’s practical capability is defined by the identity and credentials assigned to it. If those credentials are shared, long-lived, over-scoped, or poorly inventoried, the synthetic subject may gain standing access that is difficult to attribute, revoke, or monitor.

The primary risk is unmanaged authority. A synthetic subject may retrieve data, call tools, send messages, update records, or perform workflow actions through credentials that exceed its intended purpose. Where multiple agents share one service account or hard-coded secret, investigators may be unable to determine which synthetic subject acted, which workflow invoked it, or which system granted the access.

Investigators should review the synthetic subject’s assigned identities, credential storage, token lifetime, scopes, authentication logs, service account ownership, vault records, repository secrets, configuration files, and access review history. Particular attention should be given to shared service accounts, orphaned tokens, hard-coded secrets, dormant credentials, privileged scopes, and identities not represented in asset or identity governance inventories.

Investigative Relevance

Access through Non-Human Identity is relevant because identity configuration determines what a synthetic subject can access and perform. Weak NHI configuration may turn a limited assistant, embedded feature, or agent into a privileged actor with access beyond its operational purpose.

Shared agent identity occurs when multiple synthetic subjects, workflows, tools, or deployments authenticate through the same service account, token, credential, or application identity.

This configuration creates an elevated exposure condition because activity cannot be cleanly attributed to a specific synthetic subject. Logs may show that a shared identity accessed data, called an Application Programming Interface (API), sent a message, or updated a record, without showing which agent or workflow caused the action.

The primary risk is attribution failure. If several synthetic subjects use the same identity, investigators may be unable to determine which one acted, whether the action was authorized, or which directive, invocation, tool, or input caused the event.

Investigators should review service account usage, token assignments, connector credentials, authentication logs, agent configuration files, workflow ownership, and identity governance records. Particular attention should be given to credentials reused across agents, vendors, environments, or business functions.

Investigative Relevance

Shared agent identity is relevant because identity separation is required to reconstruct synthetic subject behavior. Where multiple agents act through one credential, containment may require disabling several workflows at once, and accountability may remain unclear.

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.

Over-permissive tool runtime occurs when a connected tool runs with broader file, network, credential, system, or environment access than required for its approved function.

This configuration creates an elevated exposure condition because a tool called by the synthetic subject may access resources beyond the data explicitly passed to it. It may read local files, environment variables, credentials, network services, logs, or system resources available to the runtime.

The primary risk is hidden tool-side access. Even if the synthetic subject appears narrowly scoped, the tool it calls may have broader runtime permissions and can retrieve, modify, or transmit data outside the intended tool function.

Investigators should review runtime permissions, container settings, environment variables, mounted files, network access, local secrets, execution logs, and tool behavior. Particular attention should be given to tools with access to home directories, secret stores, internal networks, unrestricted outbound connectivity, or shared execution environments.

Investigative Relevance

Over-permissive tool runtimes are relevant because tool execution environments can expand synthetic subject capability beyond visible tool descriptions. This sub-section is especially relevant where tools run on developer workstations, shared servers, CI/CD workers, agent runtimes, or cloud functions with broad local or network access.

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.

Developer account tool access occurs when a synthetic subject can use an employee’s development accounts, tools, repositories, terminals, package registries, cloud consoles, or continuous integration and continuous delivery systems.

This configuration creates an elevated exposure condition because the synthetic subject may inherit engineering access that can affect source code, build pipelines, dependencies, infrastructure, secrets, or production services. Coding assistants, terminal agents, and repository-aware tools may act through credentials and sessions intended for the developer.

The primary risk is AI-mediated engineering change under a human account. A synthetic subject may commit code, alter dependencies, run commands, call cloud APIs, publish packages, modify configuration, or trigger builds in a way that appears attributable to the developer.

Investigators should review source control logs, commit metadata, integrated development environment telemetry, terminal history, cloud audit logs, package registry activity, continuous integration logs, and tool-call records. Particular attention should be given to generated diffs, dependency changes, package publishing, command execution, and production-affecting actions under a developer identity.

Investigative Relevance

Developer account tool access is relevant because human development credentials often carry high-impact engineering authority. This sub-section is especially relevant where synthetic subjects operate in integrated development environments, terminals, source repositories, cloud consoles, build systems, or package registries.

Privileged user access occurs when a synthetic subject operates through an administrator, security, finance, Human Resources, legal, production support, or other high-impact human account.

This configuration creates an elevated exposure condition because the synthetic subject inherits sensitive access assigned to the privileged user. It may operate inside administrative consoles, security tools, finance systems, personnel records, production environments, cloud platforms, or regulated data stores.

The primary risk is privileged action without equivalent human control. A synthetic subject may retrieve sensitive records, modify controls, approve transactions, change configurations, access secrets, run commands, or expose regulated data while appearing to act as the privileged employee.

Investigators should review privileged session logs, administrative actions, security tool activity, cloud audit records, finance approvals, personnel record access, endpoint telemetry, prompt records, and tool-call logs. Particular attention should be given to AI tool activity during privileged sessions, actions outside normal administrative workflows, and changes lacking clear human review.

Investigative Relevance

Privileged user session access is relevant because it places a synthetic subject inside the highest-impact human access paths. This sub-section is especially relevant where AI tools assist administrators, security analysts, finance users, legal staff, Human Resources personnel, production engineers, or other privileged roles.

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.