Bot User

What a bot user is

A bot user is an automated account that stands in for an application inside a chat or collaboration platform. The important distinction is that it does not behave like a human user: it acts through API tokens or signed requests, and its authority should be tightly constrained to the channels, scopes, and event types the app actually needs.

How bot users work in practice

Bot users are usually created to post messages, read events, respond to commands, or move data between systems. In that sense, they are application-facing identities, not generic users, and their operational footprint is defined by how the platform authenticates the app and what permissions the platform grants to it. When those permissions are too broad, the bot can become an easy path to overreach across conversations, files, or integrations.

The bot user model is useful because it separates automated activity from personal accounts. That separation helps with auditing, ownership, and revocation, but only if teams treat the bot as a governed account with an explicit purpose, not as a convenient shared shortcut. The same design can also hide real risk if the bot is given access that outlives the use case or is reused across unrelated workflows.

For platform-specific token handling and rotation practices, GitLab Tokens Security Guide is a useful reference point for the underlying access patterns this term depends on.

Why bot users create security and governance concerns

Because a bot user is often long-lived and highly connected, it can concentrate risk in one automated identity. If its token is stolen, its scopes are excessive, or its event subscriptions are broader than intended, an attacker may be able to read sensitive content, send trusted messages, or pivot into connected services through the bot’s permissions.

That risk is not just technical. Bot users can also blur ownership, especially when multiple teams depend on the same automation. When nobody clearly owns the account, revocation becomes slow, permissions drift, and unused bots remain active long after the integration should have been removed.

Security teams should also treat bot users as part of the broader access surface, because their permissions are often functionally equivalent to a service account or integration credential. The OWASP Non-Human Identity Top 10 is relevant here because it frames common failure modes such as secret leakage, overprivilege, and poor lifecycle control.

How to assess and control bot-user exposure

Exposure starts with inventory. Organisations should be able to answer which bot users exist, which app created them, what tokens they use, which workspaces or tenants they can reach, and which channels or events they can observe. That inventory is what lets teams spot orphaned bots, duplicated integrations, and excessive access before they turn into a blind spot.

Control then comes from least privilege, short-lived credentials where the platform supports them, and explicit review of scopes and subscriptions. If a bot only needs to post notifications, it should not also be able to read all messages, enumerate users, or access unrelated repositories and files. The NIST SP 800-53 Rev 5 Security and Privacy Controls and NIST Cybersecurity Framework 2.0 both reinforce that kind of access governance and continuous oversight.

For platforms that expose bot functionality through APIs, the same access discipline applies to token scope, request signing, and endpoint inventory. The OWASP API Security Top 10 helps frame the risks around broken authorisation and overly broad API access that can make a bot user more powerful than intended.

What practitioners should verify after deployment

After a bot user is deployed, the key question is whether its actual behaviour still matches the intended use case. Logs should show which actions it performed, which tokens were used, and whether it touched data or channels outside its mandate. That matters because a bot often becomes “normal” to the organisation, which makes abuse harder to notice.

Practitioners should also verify what happens when a bot is disabled, reinstalled, or re-authorised. A weak offboarding process can leave tokens active, webhooks live, or old app grants behind. In practice, the lifecycle of the bot user matters as much as its initial setup, because stale automation is one of the easiest ways for access to linger unnoticed.

The same principle appears in MITRE ATT&CK Enterprise Matrix, where credential access, persistence, and privilege abuse often depend on trusted accounts that defenders assumed were routine. Bot users are not inherently dangerous, but they do deserve the same disciplined review as any other privileged integration point.

Practitioner Guidance

Governance implication: Treat every bot user as an owned application identity with a clear purpose, named owner, and documented permission boundary. That makes review, recertification, and retirement practical instead of ad hoc.

What to watch for: Watch for bots with broad channel visibility, unused permissions, shared tokens, or no recent activity but still-active access. Those patterns often indicate permission drift rather than a healthy integration.

Practitioner takeaway: The safest bot users are the ones that can be explained in one sentence: what they do, what they can reach, and who is responsible for shutting them off when the job is done.

Related resources from NHI Mgmt Group

• How should marketplaces handle bot traffic without hurting legitimate user experience?
• Which accountability questions matter when bot controls collect user signals?
• Why do bot controls fail when automation looks like normal user activity?
• Why do User-Agent strings and IP allow lists fail as bot trust signals?