Execution controls for agents
DeliveredHuman approval for payments, filings and customer messages, with every step logged and reversible.
You receivePermission model and audit log
Layer 3 · Control
Secure Execution
AI that can act needs limits. We design permissions around tool use, sensitive data and consequential actions, then test them the way an attacker would.
DeliveredBacked by delivered work.Pilot programFixed-scope, fixed-price first engagement.
What we offer
Payment & data security
DeliveredSecure card processing and protected patient data in systems we run in production.
You receiveSecurity documentation and controls
AI security assessment
Pilot programAssess AI access boundaries, tool use and data handling before attackers do.
Pilot deliverableRisk findings, permission controls and remediation tests
Policy enforcement
Pilot programMachine-checked rules for what an AI system may read, write and do.
Pilot deliverableEnforced policy set with automated tests
Evidence
All case studiesDelivered work in this practice
Payments & automotive services
WashPal: car wash controllers with secure payments
Automatic car wash controllers with TLS 1.2 and SHA-256 card processing.
LiveRead case study →
Healthcare
Health1Pro: on-demand healthcare coordination
Patient registration, around-the-clock doctor access, advocacy and payments for a Southern Arizona provider.
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HR & finance
Payroll platform with IRS reporting
Multi-employee payroll with W-4 withholding and Form 941, 940 and W-2 output.
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FAQ
Common questions
How do you stop an AI agent from taking a harmful action?
Agents run with role-based permissions, approval gates on consequential actions such as payments and customer messages, and an audit trail where every step is logged and reversible.
What does an AI security assessment test?
Access boundaries, tool use and data handling, including adversarial and prompt-injection tests and data leakage checks. It ends with risk findings, permission controls and remediation tests.
The rest of the stack