PhD. Ngô Trung Kiên
AI & Platform ArchitectureLeads product vision and core engineering — the enforcement kernel, policy engine, and runtime governance layer between agents and enterprise systems.
kiennt@actantos.comAbout ActantOS
The OS for Governed AI Agents
ActantOS was built because the alternative — autonomous AI agents operating without governance — is a risk that enterprises cannot afford to take.
Our Mission
Make enterprise AI deployment safe by default
When we started building ActantOS, the conversation around AI governance was almost entirely about model safety — alignment, guardrails at the model level. But enterprises deploying agents face a different set of problems: agents with inconsistent identity, no spending limits, no approval workflows, and no audit trails.
Those are infrastructure problems, not model problems. ActantOS is the infrastructure layer that solves them — a universal governance OS that sits between your agents and the systems they act on.
We believe the enterprises that deploy agent governance seriously will move faster, not slower — because governance removes the manual review overhead that holds ungoverned deployments back.
The Problem We’re Solving
Enterprise AI incidents cost billions annually
Industry analyses put unsupervised agent risk in the billions per year. Read our breakdown →
Competing agents, one shared approval
Concurrent executors can race to consume the same authority, producing duplicate or ambiguous admissions unless the protocol makes the invariant explicit.
Delegation without constraint preservation
Agent handoffs can widen scope, change destination, or detach an action from the human and policy context that originally authorized it.
Partial failures split decision from effect
Timeouts, partitions, crashes, retries, and ambiguous destination outcomes can leave approval state and real-world effects out of sync.
Evidence can be incomplete
A successful log write does not prove an external effect committed, and a missing receipt does not prove nothing happened. Verification must represent unknown outcomes.
Our Team
The people behind ActantOS
ActantOS is built by specialists who combine AI platform engineering, governance policy, and production operations — the disciplines required to govern autonomous agents at enterprise scale.
PhD. Nguyễn Văn Tràng
Governance Policy & BusinessMaps ActantOS policy to enterprise risk, compliance, and operating models — working with security, GRC, and leadership on rules teams can actually adopt.
trangnv@actantos.com
PhD. Nguyễn Thanh Quảng
Reliability & Production OperationsOwns production reliability across the enforcement stack — capacity planning, failure-mode analysis, and the uptime guarantees enterprises need at scale.
quangnt@actantos.comWhat We Stand For
Our principles
Security by Default
Every feature we build starts with the assumption that AI agents will be exploited, hallucinate, and make mistakes. We build the controls for that reality.
Full Auditability
Governance without evidence is theater. Every action taken through ActantOS is logged immutably, so compliance is always provable.
Zero Latency Compromise
Governance should not slow agents down. Our proxy architecture is designed for minimal overhead on the agent critical path.
Open Standards
We build on open standards — MCP, OIDC, SCIM, formal policy languages — so ActantOS integrates with the infrastructure you already have.
Ready to govern your agents?
Book a technical assessment. We’ll map your current agent deployments to specific governance gaps and show you exactly how ActantOS closes them.