Control AI execution before it becomes action.
AI agents should not directly execute high-impact actions. OBEAX places a controlled execution boundary between agents and real systems — binding identity, state, policy, authority, approval, verification and evidence before completion.
One control plane between intent and effect.
→ Controlled System
The control layer exists because caller intent is not authority.
A caller must not be able to strengthen its own execution outcome.
Tenant and action context must remain bound through every stage.
Authority can change after preparation; revalidation belongs near execution.
Identity alone is not enough; approval requires explicit authority.
Previously valid requests and approvals must not silently become valid again.
External application roles should not write kernel state directly.
AI model identity should be server-derived, not trusted from caller payloads.
An API acknowledgement is not the same as a verified real-world result.
Current verified state.
OBEAX governs execution. Connectors provide reach.
Agent-to-tool discovery and invocation behind OBEAX authorization.
Agent-to-agent delegation with bounded identity and authority.
Classical enterprise APIs translated into controlled actions.
Service-to-service execution in modern internal infrastructure.
Inbound events become governed action context.
Asynchronous enterprise execution with replay-aware handling.
Trusted principals and short-lived credentials, not caller assertions.
Teams, Slack, portals or service workflows as approval UI — authority stays in OBEAX.
AWS, Azure, GCP and Kubernetes execution surfaces.
GitHub, GitLab, CI/CD and infrastructure-as-code.
ServiceNow, Jira, ERP, CRM and workflow systems.
Industrial interfaces remain roadmap/high-risk until dedicated safety gates exist.
Start where execution has consequence — but remains controllable.
High-risk domains including banking transfers, trading, healthcare treatment and industrial actuation are future controlled-pilot / roadmap domains, not current production claims.
Trust is constructed from bounded facts, not declared by the caller.
Server-derived identity
Resolve the acting principal from trusted session and service context.
Tenant binding
Keep tenant context bound through identity, actions, approvals and execution.
AI model binding
Derive model identity and version from trusted bindings, not arbitrary payload fields.
Least privilege
Expose narrow wrappers instead of broad database or owner-role access.
Fail closed
Missing or stale authority should prevent action rather than downgrade controls.
Replay resistance
Bind state and context so prior valid actions cannot be silently reused.
Execution-time revalidation
Re-check authority close to the effect, not only at request preparation.
Post-condition verification
Completion should mean the intended state was verified when the target supports it.
Independent evidence direction
Design toward external evidence sinks rather than relying on one runtime database alone.
Move from internal proof to controlled deployment one gate at a time.
Internal proof — PASS
V37 policy non-bypass and D02 security/controller evidence.
Deployable Linux release — IN PROGRESS
Professionalize authentication, dependencies, packaging and release metadata.
D03 clean install — UNVERIFIED
Reproduce OBEAX from a clean supported Linux environment.
D04 backup / restore — UNVERIFIED
Prove recovery, integrity and measured restoration behavior.
D05 integrated synthetic connector route — UNVERIFIED
Run the complete route without real-world side effects.
External security review — UNVERIFIED
Independent assessment remains a required validation step.
Customer pilot — UNVERIFIED
First design partner in shadow/no-side-effect mode.
Restricted real-world execution — ROADMAP
Only after preceding deployment and security gates pass.
Founded and architected by Iljam Jahja.
Founder & CEO / Chief Architect
Build the first controlled pilot.
For enterprise design-partner discussions, architecture review or pilot scoping.