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Built for teams that can't afford a data-handling mistake

The controls that matter change by sector, but the underlying requirement does not: know what your agents did, prove it afterwards, and be able to stop them. Here is how that maps to five industries.

Financial services

Agentic automation across document-heavy, compliance-heavy processes — with the identity, policy, and evidence trail an auditor will eventually ask for.

  • Per-agent identity and short-lived credentials for every system touched
  • Immutable decision lineage for regulatory review
  • Autonomy levels set per process, with human approval gates where required

Healthcare and life sciences

PHI-aware agent workflows where redaction and de-identification happen before data reaches a model, not after an incident.

  • Redaction and de-identification ahead of any model call
  • Retention controls on what agents are allowed to remember
  • Evidence packages suitable for compliance review

Government and public sector

Deployment models that respect data boundaries, with containment controls that show scope and consequence before they execute.

  • Cloud, on-premises, or hybrid deployment boundaries
  • Geographic and retention constraints enforced by policy
  • Emergency containment scoped to the affected system only

Technology

Platform teams shipping agentic products need the same rigour they already apply to services: versioning, evaluation, staged release, and rollback.

  • Agent versioning and dependency tracking in a registry
  • Simulation and regression suites before promotion
  • Canary release and rollback for agent changes

Industrial

Agents that touch operational systems need hard limits — on what they can reach, how long they can run, and what happens when they misbehave.

  • Sandboxed runtime with resource and scheduling limits
  • Governed connectors to operational systems
  • Runtime defence against hijacking and privilege escalation

One platform. One super agent. Everything connected.

Tell us about your sector

Every deployment starts with the constraints you actually operate under — regulatory, technical, and organisational.

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