Use cases
Agents doing real work, under real control.
The moment an agent can move money, message a customer or change a system, someone needs to decide what it may do and prove what it did. These are the places teams start.
Financial services and payments
Agents that touch money
Refunds, payouts, reconciliation and treasury moves are where an agent's mistake becomes a loss.
- Refunds above a threshold wait for a person; above a higher one, the person edits the amount first
- Payouts, including mobile money, are irreversible, so they always need an approver
- Spending budgets per agent and per day
- An auditable record of who approved what, with their note
Customer support
Agents that read what customers send
Support agents ingest emails and tickets written by anyone, which is exactly how they get steered.
- Content guardrails flag injection, and Sentinel narrows the session within a second
- Provenance links each action to the content that preceded it
- Emails only to approved domains; exports always need a person
- Delegated sub-agents get only what the task needs
Engineering platforms
Agents with keys to your infrastructure
Coding and operations agents can read secrets, change logging and start compute, which are the first moves of an intrusion.
- Repository and resource constraints on every tool call
- Alerts for credential harvesting, audit tampering and unmanifested compute
- Workload identity federation: no stored secrets for agents on Kubernetes or AWS
- New rules tried in shadow mode before they are enforced
Security operations
Catching what each single call hides
An attack through an agent is a sequence of individually reasonable steps.
- Correlation rules mapped to MITRE ATT&CK techniques
- Honey tokens that contain any agent that uses them
- Pause proposals for agents that keep trying after a no
- Events to your SIEM through signed webhooks
Compliance and audit
Evidence your assessor can verify
When regulators ask how AI agents are controlled, a policy document is not enough.
- Continuous controls with daily snapshots and regression alerts
- Signed evidence bundles mapped to SOC 2, ISO/IEC 42001, NIST AI RMF and the EU AI Act
- An auditor role that can read and export, and change nothing
- A tamper-evident chain anyone can verify independently
For the auditor
One question, one record
"Why was this payout allowed?" Open the decision: the agent and its owner, the policy version, every layer's result, the approver and their note, and its place in the signed chain.
Start with your riskiest agent.
A pilot puts a few agents under governance in your environment, from registration to approvals, kill switch and audit evidence.