SHEET 001 // IDENTIFICATIONCLASSIFIED FIELD SPECIFICATIONRESTRICTED DISTRIBUTION

HX-001

FIELD UNIT

PROPERTY OF HELIOS
CONTROLLED SYSTEM

AI SYSTEMS IN CONTEXT

UNDER CONTROL

SYSTEM CODENAME // HL-GOV-001

H E L I O S

THE CONTROL PLANE FOR AI AGENTS

OBSERVE / CONSTRAIN / ENABLE

AI systems are becoming capable of taking actions. HELIOS gives those actions identity, policy, evidence, and control.

Define what AI agents are allowed to do. Control their runtime actions. Prove what actually happened.

REF HL-GOV-001SERIAL 23-5931-7ADO NOT REMOVE

ACCESS REQUEST // OPERATOR INTAKEACCEPTING

CLASS // RUNTIME GOVERNANCEAUTH MODEL // LEAST PRIVILEGEENV // PRODUCTION GATEWAYREV // 1.5.0

SHEET 002 // THE PROBLEMSYSTEM AUDIT & THREAT VECTORUNGOVERNED AUTONOMY

CORE THESIS

AI AGENTS ARE ACQUIRING PERMISSIONS FASTER THAN ORGANIZATIONS ARE ACQUIRING CONTROL.

WHAT AGENTS CAN DO TODAY

[✓] Read proprietary codebases & data stores
[✓] Call arbitrary internal & external APIs
[✓] Modify git repositories & open PRs
[✓] Execute shell commands & spawn workers
[✓] Provision cloud infrastructure & buckets
[✓] Execute multi-step autonomous workflows

THE GOVERNANCE VOID

The fundamental question for autonomous software isn't simply:

“Is the model intelligent?”

The real operational question is:“Who is this AI system, what is it allowed to do, what did it actually do, and can we prove it stayed within policy?”

FOUNDATIONAL PRINCIPLE // SEC 38

The problem with autonomous AI isn't only what a model can generate. It's what the system can actually do. HELIOS gives those actions an identity, a policy boundary, and an evidence trail.

SHEET 003 // FOUR QUESTIONSSYSTEM SPECIFICATIONTHE PLANES OF GOVERNANCE

ARCHITECTURAL DECONSTRUCTION

FOUR FUNDAMENTAL INQUIRIES

ITEM // 01PLANE: IDENTITY

WHAT AI SYSTEMS DO WE HAVE?

Discover, register, and attest every autonomous agent, worker, LLM wrapper, and MCP server across all repositories and environments.

SYSTEM REGISTRY • AGENT CREDENTIALS • PROVENANCE

ITEM // 02PLANE: POLICY

WHAT ARE THEY ALLOWED TO DO?

Define declarative, versioned policy boundaries. Control tool invocations, API scopes, file access, token expenditure, and human-in-the-loop triggers.

BOUNDARIES • LEAST PRIVILEGE • ESCALATION GATES

ITEM // 03PLANE: EVIDENCE

WHAT DID THEY ACTUALLY DO?

Capture immutable, tamper-evident execution receipts. Every model invocation, tool parameter, state mutation, and output payload is cryptographically logged.

DECISION RECEIPTS • TRACES • MERKLE AUDIT

ITEM // 04PLANE: ASSURANCE

CAN WE PROVE THEY STAYED WITHIN POLICY?

Continuous evaluation, behavioral drift monitoring, and replayable audit verification that satisfy engineering, security, and external scrutiny.

EVALUATION • DRIFT DETECTION • REPLAY VERIFICATION

SHEET 004 // THE CONTROL PLANESYSTEM TOPOLOGY & MEDIATIONAIR-GAPPED CONTROL BOUNDARY

INTERCEPTOR TOPOLOGY

THE ARCHITECTURAL CONTROL PLANE

HELIOS operates as a synchronous and asynchronous governance gateway. Autonomous agents interact through HELIOS mediation layers before any downstream tool, model, or database action is authorized.

SCHEMATIC // HL-ARCH-001CONTROL PLANE ENFORCEMENT TOPOLOGYREV 1.5.0

UPSTREAM INITIATOR

AUTONOMOUS AI AGENTS & SYSTEMS

LangGraph • MCP Clients • Coding Agents • Autonomous Workflows

▼

H E L I O S

ACTIVE GOVERNANCE GATEWAY

PLANE // 01

IDENTITY

Agent attestation, credentials, cryptographic provenance

PLANE // 02

POLICY

Deterministic boundaries, tool permissions, rate controls

PLANE // 03

EVIDENCE

Tamper-evident logs, execution traces, decision receipts

PLANE // 04

ASSURANCE

Continuous evaluation, drift detection, verifiable audit

▼

EXECUTION TARGET

MODELS

LLM Endpoints • Gateway Routers • Local Weights

EXECUTION TARGET

DATA & STATE

Vector DBs • S3 Buckets • Git Repositories

EXECUTION TARGET

TOOLS & APIS

MCP Servers • Cloud APIs • Shell / File I/O

STATUS: DETERMINISTIC POLICY ENFORCEMENTLATENCY OVERHEAD: < 2.4MS

LATENCY OVERHEAD

< 3ms Gate Evaluation

In-process policy evaluation with zero impact on agent throughput.

INTEGRATION INTERFACES

MCP / REST / SDK

Native Model Context Protocol proxies, Python SDK, and CLI interceptors.

ASSURANCE RUNTIME

Tamper-Evident Receipts

Cryptographic hashing of decisions for zero-trust audits.

SHEET 005 // OPERATIONAL TENETSCORE DOCTRINEAUTONOMY IN EQUILIBRIUM

TENET // 01

OBSERVE

KNOW WHAT THE SYSTEM IS DOING

Complete continuous visibility into active agent sessions, tool invocations, context size, model selection, and memory mutations without invasive code rewrites.

TENET // 02 [ACTIVE GATE]

CONSTRAIN

DEFINE WHAT THE SYSTEM IS PERMITTED TO DO

Hard guardrails and deterministic runtime gates. Enforce least privilege, restrict critical tool APIs, rate-limit execution, and route anomalous actions to human review.

TENET // 03

ENABLE

ALLOW USEFUL AUTONOMY WITHOUT SURRENDERING CONTROL

Engineers deploy agents with confidence. Organizations grant real operational permissions because every action is bounded, recorded, and verifiable.

SHEET 006 // ACCESS REQUESTOPERATOR INTAKE GATEWAYBETA ALLOCATION

INTAKE CHANNEL ACTIVE // ACCEPTING OPERATORS

H E L I O S

THE CONTROL PLANE FOR AI AGENTS

Beta access is limited to engineers building autonomous agents, MCP-based architectures, and multi-agent infrastructure.

ACCESS REQUEST // OPERATOR INTAKEACCEPTING