Execution governance for AI agents.
Any agent. Any model. Any framework.
Run on your cloud, your data center, or a laptop on your desk — with a signed receipt for every run.
Every execution node registers with a cryptographic identity. Outbound-only — no inbound ports required.
Policy decides what runs, where. Data residency and compliance are enforced, not assumed.
Workloads execute on approved devices — cloud, on-prem, or the laptop on your desk.
Every run produces a signed receipt: device identity, output hash, and timestamps. Cryptographic proof, not logs.
A centralized control plane manages execution across your distributed infrastructure.
Open-source agents on Mac Minis. Copilots calling your APIs. Framework agents on GPU clusters. The execution is happening — without identity, without policy, and without proof.
Developers deploy agents on personal devices, cloud VMs, and local hardware — before security teams know they exist.
Agents inherit machine-level privileges with no cryptographic identity. One exploit, full lateral movement.
No way to enforce which agents run on which hardware, or prevent sensitive workloads from executing on unapproved devices.
When an agent leaks credentials or exfiltrates data, you can't prove what ran, where it ran, or what it accessed.
Agents already run on cloud VMs, Mac Minis, and GPU clusters. ATF adds identity, policy, and audit trails to every one of them.
Select which physical device runs each workload. Not just "cloud vs. on-prem" — specific machines.
Every execution is cryptographically tied to a device identity, not just logged. Evidence-grade traceability.
Devices dial out securely to ATF. No inbound ports, no exposed attack surface.
Same agent. Same policy. Different hardware. Test and iterate on any registered device from a single interface.
Every agent carries a cryptographic identity certificate. Zero-trust architecture across every node. Your infrastructure, your perimeter.
Every state change captured. Signed execution receipts. Agents monitored like humans and legacy systems — not black boxes.
Dispatch across cloud, on-prem, and edge. Policy enforcement decides what runs where. Model-agnostic and framework-agnostic.
ATF is infrastructure for teams that need to control where intelligence executes.
Keep financial review agents on approved GPU clusters. Run healthcare summarization inside your data center. Data residency enforced, not assumed.
Bring policy and audit trails to the agents already running inside your perimeter. One layer across every model and framework, zero vendor lock-in.
Turn shadow agent deployments into a managed fleet. Visibility, policy, and audit trails across every device.
Guarantee which geography and which hardware processes your data. Deploy edge inference in regulated field environments.
See ATF bring identity, policy, and audit trails to agents running across cloud, on-prem, and edge.