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Use case · Enterprise

RPA & Automation Governance

Discover, authorize, monitor, and halt RPA bots across any automation platform.

The risk

What an ungoverned agent gets wrong here.

Robotic process automation (RPA, software bots that mimic human clicks to run back-office work) is everywhere in the enterprise, and an ungoverned bot carries the same risks as an ungoverned AI agent: unauthorized actions, no attribution, no audit trail, no kill switch. The failures are documented. Runaway automated trading cost Knight Capital about $440M in August 2012. In August 2020 an automated bank process sent roughly $900M (the full principal instead of an interest payment) in a transfer that a boundary check should have stopped. A 2024 US government audit found decommissioned bots that still held access to systems containing personally identifiable information. Without a governance layer there is no inventory of what exists, no enforced least-privilege boundary, and no record of what a bot did.

Without governance

Where it goes wrong.

01

A runaway bot loop

A misconfigured bot repeats the same action hundreds of times in a minute (an infinite loop or a bad retry) and does real damage before anyone notices the pattern.

02

A bot that wanders out of scope

A bot built for one task starts reaching systems and endpoints outside its approved set, whether from scope creep, a misconfiguration, or compromise.

03

Shared credentials that break attribution

Several bot instances run on one service account, so when something goes wrong the trail points at a shared identity rather than the specific bot and the operator behind it.

04

The decommissioned bot that kept its keys

A retired bot still holds live access to systems with sensitive data, an unwatched standing credential no one remembered to revoke.

With Agentomy

How Agentomy governs it.

01

Discover every bot

Continuously inventory every bot and service account across whatever RPA platforms and custom automation your teams run, including the ones nobody registered. Unregistered means read-only until authorized.

02

Least-privilege and cross-system boundaries

Scope each bot to exactly the systems and actions its job requires and tie it to a unique governance identity. The number of distinct systems a single session may traverse is capped by a server-registered limit, so a bot that starts reaching past its task is refused at the cap and recorded, rather than reviewed after the run.

03

Monitor behavior and halt the fleet

Per-bot baselines flag runaway loops, lateral movement, and drift with auto-quarantine, and one switch halts every governed bot across every platform in a fraction of a second.

04

One audit trail

A single tamper-evident, hash-linked log records every bot action (what it touched, under whose authorization, and why), exportable to the framework your auditors care about.

What it detects

The detection patterns behind this workload.

Agentomy carries a dedicated RPA pattern family for RPA & Automation Governance. Each one is a specific failure this layer watches for, with the signal it watches, checked at runtime before the action reaches your systems.

10 of 166 governance patterns
  • Critical
  • High
  • Medium
  • RPA-001Severity: Critical

    Bot loop

    DetectionFrequency anomaly monitoring on action history per bot instance.

  • RPA-002Severity: Critical

    Unauthorized system access

    DetectionAuthorization check against per-bot system whitelist.

  • RPA-004Severity: Critical

    Process escalation

    DetectionAuthorization tier enforcement.

  • RPA-005Severity: Critical

    Data exfiltration

    DetectionScope escalation detection on data movement actions.

  • RPA-008Severity: Critical

    Lateral movement

    DetectionScope escalation detection across system boundaries.

  • RPA-003Severity: High

    Credential reuse

    DetectionIdentity drift detection.

  • RPA-007Severity: High

    Configuration drift

    DetectionBehavioral baseline comparison.

  • RPA-009Severity: High

    Volume anomaly

    DetectionFrequency anomaly monitoring with rolling baseline.

  • RPA-010Severity: High

    Unattended spawning

    DetectionShadow discovery within governed perimeter.

  • RPA-006Severity: Medium

    Schedule violation

    DetectionTiming pattern detection.

RPA family, RPA-001 to RPA-010 · 10 of 166 governance patterns Agentomy enforces at runtime. Severity as classified in the pattern definition.

Frameworks

Maps to what you answer to.

Agentomy does not certify you. It gives you the enforcement and the audit trail these frameworks ask for, so readiness is something you can show rather than assert.

SOX / COSOthe US Sarbanes-Oxley Act, whose Section 404 requires internal controls over financial reporting, and the COSO framework that added dedicated controls for bots touching those systems; governance supplies the bot-lifecycle evidence both expectDORAthe European Union's Digital Operational Resilience Act, whose ICT (information and communications technology) risk-management duties cover automation touching financial servicesPCI DSSthe Payment Card Industry Data Security Standard; where bots touch cardholder data, least-privilege scoping and audit logging map to its access-control requirementsEU AI Actthe European Union's risk-based AI law, which reaches AI-enhanced bots that fall into its high-risk categories; Agentomy gives you the enforcement and evidence to operationalize it
See it in the record

Every action, logged and provable.

A tamper-evident, hash-linked trail of every governance decision for this workload: what an agent did, under whose authorization, and why. Plain-English reasons for every allow and deny, exportable to the framework your auditors care about.

Agentomy Command CenterFilter RPA & Automation Governance
  • 100% Integrity
  • 46,756 Blocks
  • SHA-256 hash-linked
Audit trail: one tamper-evident block per governance decision, hash-linked to the one before it
BlockTimestampAgentActionTierHash
46,756Today 12:42:08process-discovery-agentdata_access_requestEvaluator8d71ee65a36ea228
46,755Today 12:41:54exception-triage-agentoutput_validationAnalysteeb3afd8a42c7c2a
46,754Today 12:41:37vendor-review-agentpolicy_checkBuilder37b068936daca7d5
46,753Today 12:40:58invoice-extract-agentbehavior_driftOperatorfb4632ad2615724f
46,752Today 12:40:21runbook-draft-agenthalt_initiatedStrategist8f11c5cd6b42181f
46,751Today 12:39:46throughput-report-agentprompt_reviewEvaluatorf1ebfe48e6b5600f
Governance events today: 12,842Demo environment
Illustrative interface with sample data, in the shipped Command Center’s structure. Not a customer environment and not a live feed.

Ready to govern your agents?