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// moorai vs certiv

MoorAI vs Certiv

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Same starting move, one decisive divergence. Certiv (certiv.ai) calls itself “AI Agent Assurance for Endpoints” (certiv.ai) — it installs on the workstation, discovers AI agents, and continuously authorizes model requests and tool calls before risky actions happen. That is the same architectural stance as MoorAI: on the endpoint, pre-execution, per-action. Anyone comparing the two will see a real overlap, and this page states it plainly.

The divergence is what each one does with content. Certiv's edge is an intent engine that “evaluates purpose, not just pattern” (certiv.ai) — and to reason about purpose it reads the agent's context. Certiv's own material lists what that visibility covers: user prompts, model reasoning steps, tool calls and data. That is content-aware by design, and it is what buys Certiv its breadth. MoorAI takes the opposite stance: it is content-free by architecture. Prompt and response content never leaves the device; only category · risk · keyed one-way hash do. And because MoorAI's agent is open source (MIT), that content-free property is auditable — you can read the interceptor and the exact signal schema — rather than asserted by a closed binary.

So this is not “which is better.” It is a genuine trade. Certiv reads more to understand more, across more platforms. MoorAI sees less on purpose, and proves it in the open.

yes partial unconfirmed no

Where MoorAI goes deeper

Content-free evidence, and the auditability that makes it trustworthy. A content-aware intent engine has to read prompts and reasoning to do its job; MoorAI decides on the device and emits only a redacted signal — and, because it is open source, the guarantee is checkable rather than asserted. Certiv is proprietary, so several of these rows are marked — unconfirmed, not absent: closed material does not let us verify them either way.

MoorAI Certiv
Content-free by architecture — prompt/response content never leaves the device content-free by construction intent engine reads prompts + reasoning (their own material)
Only category · risk · keyed one-way hash leave the device redacted signals only, HMAC-SHA-256 telemetry contents not published
Open source (MIT) — the content-free claim is auditable MIT, readable interceptor proprietary
Reviews AI output, not just the prompt and the action reviews prompts + responses action-focused; response review unconfirmed
Per-tool MCP argument rules per-tool arg inspection tool-call governance; arg-level rules unconfirmed
Model-endpoint allow-list (Agency Enforcement) approved-endpoint allow-list authorizes model requests; endpoint allow-list unconfirmed
Cryptographically signed, tamper-evident decisions signed per decision unconfirmed
Compliance-evidence packs mapped from content-free signals (EU AI Act / NIST AI RMF / ISO 42001) control mapping from redacted signals governance reporting; content-free control mapping unconfirmed
Content-free data lineage / event flow (source → actor → destination) content-free lineage view visibility present; content-free lineage unconfirmed
Rules-file / skill-file poisoning detection (fingerprint only) fingerprint only, content-free unconfirmed
Named lethal-trifecta / cross-server toxic-flow detector named content-free detector frames exfil + supply-chain threats; named detector unconfirmed
Content-free per-agent assurance score per-agent, content-free “assurance” positioning; per-agent score unconfirmed
On-device OCR of image inputs (macOS + Windows) macOS Vision + Windows OCR first-class; Linux Tesseract opportunistic unconfirmed
On-device model escalation on ambiguity — opt-in, default off regex-first; opt-in on-device model second opinion, content-free unconfirmed
Natural-language policy authoring plain-language rules intent-based policy; NL authoring unconfirmed
Break-glass / offline fail-closed offline fail-closed unconfirmed
Runs with no account and no console to stand up open agent, no account required managed platform
Free & open source (free for orgs up to 200 users) MIT, free to 200 users commercial product

Where we genuinely overlap

Certiv's architecture is close enough to MoorAI's that it deserves to be stated as agreement, not marked absent. Both live on the endpoint, both authorize each action before it runs, both govern MCP tool calls, both discover shadow agents, and both map their threat model to OWASP and MITRE. Anyone evaluating the two should expect a real, substantial overlap here.

MoorAI Certiv
Detection and enforcement both run on the endpoint
Pre-execution enforcement — stops the action before it runs
Per-action / continuous authorization, not session-based
On-device MCP tool-call governance
Intercepts tool calls / API requests before execution
Shadow-AI agent discovery across endpoints
Names the coding agents explicitly (Claude Code, Codex)
Runtime host / process / network context at decision time
Works with hosted and local models
OWASP / MITRE threat mapping (exfil, credential theft, RCE, privilege escalation, supply chain)

Where Certiv covers more ground

This is the honest half of the page. Being content-aware buys Certiv reach that MoorAI does not attempt. It runs on more platforms, governs every AI agent on the endpoint rather than just the coding ones, models intent semantically, and ships as a managed enterprise platform. If the requirement is “govern the whole agentic workforce across a mixed fleet,” that is Certiv's product and not ours.

MoorAI Certiv
Linux endpoint agent (first-class parity) opportunistic, second-class Linux tier — no OCR parity Mac / Windows / Linux
Container + CI/CD coverage not attempted today containers + CI/CD
Governs the whole agentic workforce — any AI agent, not just coding agents coding-agent focused any agent on the endpoint
Semantic intent modeling — “evaluates purpose, not just pattern” category/risk classification, not full intent model intent engine
Model reasoning-step / reasoning-chain visibility prompt + response, not full reasoning chain processes model reasoning chains
Agent-to-agent interaction as a first-class monitored dimension cross-server toxic-flow detection, narrower tracks agent-to-agent interactions
SaaS-application action governance content-free browser extension across 8 GenAI apps, narrower than all-SaaS monitors SaaS applications
Interactive pause / hold-for-approval workflow at the moment of action JIT elevation, adjacent block / pause / approve
Vendor SOC 2 certification (managed platform) self-hosted open source — you audit the code instead AICPA SOC 2

Where MoorAI is stronger. Content-free evidence you can audit. In a category whose whole promise is “we govern your agent without hoarding your prompts,” the strongest version of that promise is one you can check. MoorAI is content-free by architecture — only category · risk · keyed one-way hash leave the device — and it is MIT, so the guarantee is readable rather than asserted. The exceptions are named in the open, not buried: an administrator can turn on a capture tier that does store the matched text it was enabled to collect, and on a platform whose OS cannot read an image locally a pasted screenshot goes to your own AI provider for text extraction, never to us. On the coding-agent surface it also goes deeper — detectors mapped to both the OWASP LLM Top 10 and the OWASP Agentic Top 10 (ASI01–ASI10), a CycloneDX/SPDX AIBOM with in-toto/SLSA attestation of the action chain, a content-free data-lineage view, a named lethal-trifecta detector, per-tool MCP argument rules, and a content-free per-agent assurance score that is trustworthy precisely because you can read the code that computes it.

Where Certiv is stronger. Breadth, and a managed platform. Reading the agent's context lets Certiv model intent rather than category, and it spends that on reach: Mac, Windows, Linux and containers; the whole agentic workforce rather than just coding agents; model-reasoning-chain and agent-to-agent visibility; SaaS-application governance; interactive pause-and-approve workflows; and a SOC 2-certified managed platform for teams that want to buy an outcome rather than run an agent. MoorAI is first-class on macOS and Windows, with only an opportunistic, second-class Linux tier (Tesseract OCR, no parity), and is deliberately narrow. Those are different purchases for different problems.

Use both, honestly. They are more complementary than opposed. Run Certiv to govern the whole agentic workforce across a mixed fleet with a managed, intent-aware platform. Run MoorAI where developers run coding agents with terminal, filesystem and MCP access, where you need the tool call governed at call time, and where the evidence an auditor reads must contain no one’s prompt content at all — produced by an agent whose source you can read.

Certiv capabilities are mapped from Certiv’s own published product and approach pages (certiv.ai) as of 2026; quoted phrases are theirs. ◐ = partial — present but narrower than the other column. — = unconfirmed, not necessarily absent: it marks a capability Certiv’s published material does not clearly document, and because Certiv is proprietary it cannot be verified either way. MoorAI marks reflect shipped capability. Certiv is a trademark of its respective owner; this is an independent capability comparison, not an endorsement or an affiliation, and every product here evolves — verify specifics against their current documentation.