Bot Definition

Expanded Definition

A bot definition is the governance record that describes an AI agent or chatbot, including its trigger, execution context, tool access, and the NHI it uses. In practice, it sits at the intersection of application design, identity governance, and operational control, because the definition determines which secrets, service accounts, or delegated credentials the bot can reach.

Definitions vary across vendors, but in NHI security the important distinction is that the bot definition is not the bot itself. It is the authoritative configuration that binds behaviour to identity, and it should be reviewed with the same rigor used for privileged access. That includes understanding whether the bot runs as a user-like workload, a service account, or an agent with dynamic tool access. The security lens is aligned with NIST Cybersecurity Framework 2.0, which treats identity, access, and configuration as core controls rather than afterthoughts.

The most common misapplication is treating the definition as a harmless app setting, which occurs when teams approve the automation without mapping its identity, privileges, and revocation path.

Examples and Use Cases

Implementing bot definitions rigorously often introduces governance overhead, requiring organisations to weigh faster automation against tighter identity review and change control.

• A customer support chatbot is assigned a service account with read-only access to case data, while its bot definition records the exact channels, fallback actions, and escalation rules.
• An internal coding agent is allowed to open pull requests but not merge them, and its definition must document which non-human identity it uses and where its API keys are stored.
• A finance workflow bot retrieves invoices from a shared mailbox, but the definition limits execution to approved time windows and approved data sources to reduce misuse.
• A cloud operations agent runs with temporary credentials, and the bot definition specifies token lifetime, rotation expectations, and offboarding steps after the workflow ends.
• During incident review, investigators compare the live behaviour of the bot against the definition to identify whether privilege drift or shadow automation contributed to the event.

These patterns mirror the control challenges seen in breaches such as the Schneider Electric credentials breach, where identity scope and credential handling became material security issues.

Why It Matters in NHI Security

Bot definitions matter because they translate intent into enforceable access. When the definition is incomplete, teams lose visibility into which identity a bot uses, what permissions it inherits, and how it should be revoked when the workflow changes. That creates a direct path to excessive privilege, stale credentials, and unmanaged automation. NHIMG research shows that 97% of NHIs carry excessive privileges, which means the bot definition is often the first place where privilege creep should be checked and documented.

They also matter for response and audit readiness. If a bot is compromised, investigators need to know whether the issue is the code, the identity, the secret, or the definition itself. A strong bot definition makes that distinction possible and supports lifecycle control, especially when paired with guidance from the Ultimate Guide to NHIs. This is where NHI governance connects to access review, rotation, and offboarding discipline rather than one-time deployment approval.

Organisations typically encounter the operational impact only after a bot is over-permissioned, misrouted, or still active after a workflow is retired, at which point bot definition management becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• When does passwordless reduce bot risk most effectively?
• What is the difference between AI agent security and traditional bot security?
• Who is accountable when an AI hiring bot exposes applicant data?
• Why do CAPTCHA-based bot defences fail so often?