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ifivo vs Galileo Agent Control
Two different shapes of the same problem. ifivo is a hosted control plane: connect an agent, get approvals, a kill switch, and an audit log by lunch. Galileo Agent Control is an open-source framework with purpose-built small language models for risk scoring — great if you have the team to run it. Here is how they stack up.
- Hosted SaaS — gateway, approvals UI, Slack app, audit log, all running
- Deterministic pre-execution policy engine with explain-why decisions
- MCP server so ChatGPT / Claude / Gemini can operate the control plane
- Transparent pricing, shadow mode included, SOC 2 Type II in progress
- Apache 2.0 open-source codebase on GitHub (March 2026)
- Luna-2 small language models (~152ms) for hallucination & risk scoring
- Framework-agnostic Python/Node SDKs; integrations with Strands, CrewAI, NeMo
- Hosted commercial tier (Agent Reliability Platform) available from Galileo sales
Side-by-side capabilities
How the two compare on the things teams tell us matter most when they evaluate an agent control plane.
| Capability | ifivo Hosted control plane | Galileo Agent Control Open-source framework (Apache 2.0) |
|---|---|---|
Time to first governed action From signup / install to blocking or approving a real agent call. | ||
Hosted approval UI out of the box Web queue, Slack routing, email fallback — no UI to build. | ||
Deterministic pre-execution policy engine Rules on vendor, action, amount, metadata — evaluated before the call. | ||
Built-in Luna-2 / SLM risk scoring Galileo ships small purpose-built models for hallucination and risk signals. | ||
Framework-agnostic SDK (Python + Node) | ||
Strands / CrewAI / NeMo / Azure Content Safety integrations | ||
MCP endpoint for ChatGPT / Claude / Gemini operators Ask the control plane questions, approve from the assistant. | ||
Org-wide kill switch + per-agent quarantine | ||
Shadow mode before enforcement Watch traffic for days, then turn rules on with confidence. | ||
Immutable, exportable audit log | ||
Managed service — no infra to run | ||
Source code you can fork | ||
Transparent starter pricing Galileo Agent Control is open source; the full Agent Reliability Platform is enterprise contract. |
Partial means the capability is possible but not turnkey. Our read based on public docs and onboarding conversations; corrections welcome at hello@ifivo.com.
When Galileo Agent Control is the right call
Pick Galileo if you want to own the stack: run inside your own VPC, fork the source, plug in your own models, and wire in Strands / CrewAI / Glean / Cisco AI Defense / NeMo integrations Galileo already ships.
Their Luna-2 SLMs are a real asset — if hallucination detection and LLM output scoring is your primary pain, ifivo does not ship purpose-built models for that, and we will say so plainly.
Enterprises already standardized on Galileo's evaluation platform also get a clean extension story into agents.
When ifivo is the right call
Pick ifivo if your problem is the agent ran up a bill, refunded the wrong customer, or sent the wrong Slack message — and you need the control layer in place this week, not next quarter.
You get the approval queue, Slack workflow, kill switch, policy engine, and audit log without standing up a platform team to run it. That is the trade: less configurability, more shipped.
Non-engineering stakeholders (finance, ops, compliance) can actually operate it without reading SDK docs.
Using them together, or migrating
The layers are not mutually exclusive. A realistic stack: Galileo Luna-2 scoring inside your agent loop for LLM-step risk signals, then ifivo on the tool-call edge to enforce policy, route approvals, and keep the ledger.
If you are already running Galileo Agent Control and want the hosted control-plane layer on top, the integration is an HTTP call from your Galileo action handler to POST https://www.ifivo.com/api/gateway/actions. Full spec on the integrate page.
Frequently asked
Is Galileo Agent Control really open source?
Yes — the Agent Control codebase is Apache 2.0 on GitHub (github.com/agentcontrol/agent-control), released March 11, 2026. The broader Galileo Agent Reliability Platform — Luna-2 SLMs, the hosted dashboard, and enterprise features — is sold as a commercial product. If you want the full managed experience from Galileo, you are talking to their sales team, not running open source.
Can I use both?
Yes, and it is not a crazy combination. Galileo's Luna-2 SLMs give you hallucination and risk signals on agent output; ifivo governs the action itself before it runs. A reasonable setup: run Galileo's scoring on LLM steps, then route the intended tool call through ifivo for the deterministic policy and approval layer.
When would I pick Galileo over ifivo?
If you have strong platform engineering, need to run everything inside your own VPC with your own models, want to swap in proprietary scoring, or are already standardized on Strands / CrewAI / NeMo integrations — start with Galileo. If you want a control plane running by lunch with an approval queue, Slack routing, and a real audit log, ifivo is closer to the finish line.
Does ifivo replace agent observability?
No. Observability tools (including parts of Galileo and LangSmith) watch what happened. ifivo runs before the action — policy decision, approval routing, kill switch — and keeps the audit trail. The two layers are complementary, not substitutes.
What about latency?
ifivo targets p50 ≈ 50ms for gateway decisions. Galileo's Luna-2 ships ~152ms average for its SLM risk calls, which is a different kind of check (model-based scoring, not policy evaluation). Apples and oranges on latency, but both are sub-second.
Try ifivo in under an hour.
Connect one agent in shadow mode. Watch a week of traffic. Turn policies on when you trust the picture. No migration, no rebuild.
Sources: Galileo Agent Control release details from GlobeNewswire, March 11, 2026. Luna-2 latency/pricing from Galileo's product pages. Comparison reflects public information as of April 22, 2026; we update this page when either product changes meaningfully.