Business-scoped authorization
Runtime identity, jobs, permissions and protected references carry business scope. Cross-business access is treated as a security violation.
Active foundationFACOS is being built as a governed AI workforce platform with business isolation, constrained worker authority, controlled external execution, incident response, recovery controls and fail-closed production gates. This Trust Center explains what is active now and what FACOS will not claim until the evidence exists.
The platform uses multiple independent layers rather than relying on a model, password, network rule or hosting provider as a single security boundary.
Runtime identity, jobs, permissions and protected references carry business scope. Cross-business access is treated as a security violation.
Active foundationAI workers cannot promote themselves into Owner authority. Material actions use deterministic authorization and human/Owner boundaries outside the model.
Active foundationFACOS uses secret-scanning and credential-broker/handle patterns so permanent provider credentials are not intended to be handed directly to AI workers.
Active foundationRelease gates run syntax, policy, security, hostile-input, dependency, network-route, recovery and trust-claim checks before deployment.
ActiveCycloneDX software bills of materials and SHA-256 release evidence are generated from the locked dependency/source state.
Active · unsignedFACOS combines internal observability with GitHub Actions availability monitoring outside the Render runtime.
ActiveFACOS treats the model as a worker inside a control system—not as the control system itself.
Workers operate against explicit business, capability, resource, data-class and environment boundaries.
External content is treated as data, not authority. Hostile override, secret-extraction and escalation patterns are tested during releases.
Known routes use host/method allowlists, HTTPS, request/response bounds and private-network protections.
The exact future production model and complete tool stack still require live adversarial validation.
High-risk authority cannot be created merely because a model, web page, document or tool result asks for it.
FACOS supports worker, business and integration containment when a serious security condition is detected.
Worker policy rejects direct raw-secret access patterns in favor of controlled application bridges.
Independent network enforcement outside the application process remains a production-readiness requirement.
FACOS is designed to minimize unnecessary copies of sensitive data and preserve enough evidence to investigate, recover and prove what happened.
Protected source data and AI-derived material such as prompts, outputs, caches, evaluations and tool results retain protected handling expectations.
Critical response covers evidence preservation, containment, session/credential revocation, rotation, recovery validation, monitoring and post-incident review.
FACOS includes backup-integrity and restore-verification tooling. Real production restore evidence remains a required production gate.
These items stay visible because a serious trust program should show the work that remains—not hide it behind marketing language.
This is a preview-environment dependency disclosure, not yet the final contractual subprocessor register.
Preview web services and preview PostgreSQL hosting.
Production database and recovery evidence still pending.
Private source control, CI/security checks, release evidence and external availability monitoring.
Active engineering/security dependency.
Domain registration and DNS administration.
Infrastructure dependency; not an application data store.
AI-provider integration path in FACOS.
Live customer-production model/tool certification not yet completed.
Security reports should be private-first and should never contain live passwords, API keys, recovery codes or bearer tokens.
Current FACOS security contact: thebrysonmethod@gmail.com
This Trust Center reflects the current FACOS controlled-preview posture as of October 1, 2026. Controls and production gates will be updated as evidence changes.