AI Governance

What is an AI governance platform for multi-agent systems?

Daena is an AI governance platform that runs every AI agent action through a 10-stage pipeline — from SecurityGate to AuditLog — enforcing a four-tier risk policy and writing an immutable audit record before the action executes, regardless of which LLM is underneath.

Daena v3.7 in production
3,086+ tests passing
2 USPTO provisional patents
Runs on Google Cloud Run

What an AI governance platform does

An AI governance platform controls what AI agents may see, decide, and do before they execute — not just what they did afterward. As businesses move from single chatbots to fleets of autonomous agents that call tools, spend money, and touch production systems, the open question becomes: who decided this agent could take this action, and can you prove it later?

Daena answers that by making governance structural. Every agent action is intercepted and evaluated before any side effect reaches the world, and the decision is recorded in a tamper-evident audit log.

The 10-stage governance pipeline

Every action passes through ten sequential stages, in order, before it runs:

SecurityGate → InputValidator → GovernanceEngine → ContextBuilder → ReasoningCore → ActionPlanner → OutputValidator → ResponseFormatter → FeedbackLoop → AuditLog

No stage is skippable. SecurityGate and InputValidator screen the request, the GovernanceEngine applies policy, the planning and output stages keep the action inside scope, and AuditLog writes the immutable record.

Four-tier risk policy

Daena classifies every action into one of four tiers, so oversight scales with risk instead of blocking everything:

Routine — runs and is logged silently. Medium — runs and notifies. High — pauses for human approval (founder-approval gates). Critical — blocked pending review.

Governance that outlives your model choice

Because Daena separates model choice from policy, the same governance applies across all 9 supported LLM runtimes (Claude, GPT, Gemini, Grok, Ollama, Groq, OpenRouter, Together, Perplexity). Context persists in a 5-tier Neural-Backed Memory Fabric (NBMF) with trust-gated promotion, and Klyntar — Daena’s security mode — screens actions against 25+ exploit signatures with a zero-false-positive gate.

Frequently asked questions

What is the difference between AI governance and AI observability?

Observability tells you what an AI agent did after the fact. Governance decides what an agent is allowed to do before it acts. Daena is governance-first: every action passes a 10-stage pipeline and a four-tier risk policy before execution, and that decision is written to an audit log.

How do you govern AI agents before they use tools?

Daena routes every proposed action through SecurityGate, InputValidator, and a GovernanceEngine before any tool call, side effect, or output reaches the world. Routine actions are logged, medium-risk actions notify, high-risk actions require human approval, and critical actions are blocked.

Does an AI governance platform require human approval?

Only where it matters. Daena’s four-tier policy escalates by risk: routine actions run and are logged, high-risk actions pause for human approval (founder-approval gates), and critical actions are blocked pending review — so humans review the few actions that need it, not every action.

Which AI governance platform supports multi-LLM routing?

Daena routes across 9 LLM runtimes — Claude, GPT, Gemini, Grok, Ollama, Groq, OpenRouter, Together, and Perplexity — and applies the same governance pipeline regardless of which model handles the request. Switching providers does not relax policy enforcement.

How does Daena compare with LangChain, AutoGen, and CrewAI?

LangChain, AutoGen, and CrewAI are frameworks for building agents; Daena is a governed control plane for running them. Those frameworks give you the building blocks and leave governance, audit, and memory to the developer — Daena ships them as a mandatory pipeline. The two layers compose: build with a framework, govern with Daena.

Is Daena tied to a specific LLM vendor?

No. Daena is model-agnostic. It hot-swaps across 9 runtimes without restarting, so you are not locked to one provider, and the governance policy applies identically no matter which model is underneath.

Is Daena a real product or a concept?

Daena v3.7 runs in production on Google Cloud Run with 3,086+ tests passing, and its architecture is covered by two USPTO provisional patents — PhiLattice (#63/877,082) for agent topology and NBMF (#64/020,421) for memory. MAS-AI Technologies Inc. is federally incorporated in Ontario, Canada.