The same category — and one decisive difference. Certiv (certiv.ai) calls itself a Runtime Assurance Layer for AI agents: on-endpoint, content-free, pre-execution enforcement for AI agents (Claude Code and Codex included), with shadow-AI discovery, MCP/tool governance, and compliance evidence. That is, almost line for line, MoorAI's architecture — down to the phrase “content-free.”
So this comparison is unusually clean. Same on-device model, same pre-execution intercept, same content-free philosophy. The difference that decides it: Certiv is proprietary; MoorAI's agent is open source (AGPL-3.0). A content-free claim from a closed binary is asserted. MoorAI's is auditable — anyone can read the interceptor and the exact signal schema. Auditable content-free beats asserted content-free.
Where they match, the row is even. Where they differ, it comes down to open vs closed, coding-agent depth, and Certiv's current lead on platform breadth and funding.
| MoorAI | Certiv | |
|---|---|---|
| Category | On-device AI agent security | Runtime Assurance Layer for AI agents |
| Where it runs | On the device, pre-execution | On the endpoint, pre-execution |
| Licensing | Open source (AGPL-3.0) | Proprietary |
| Content-free telemetry | Auditable — open source, published signal schema | Claimed — from a closed binary (verify) |
| Pre-execution enforcement | Coach / alert / block | Block / redirect / escalate |
| Shadow-AI + local-model agent discovery | ✓ Yes | ✓ Yes |
| MCP allow-list + tool-call governance | Agency Enforcement + arg inspection | Least-privilege tool profiles |
| Lethal-trifecta detection | ✓ Named content-free detector | ✓ Framed threat model |
| Coding-agent depth (OWASP LLM Top 10 + AIBOM) | Deep — LLM01–10 detectors + AIBOM | Generic agent actions |
| Content-free data lineage / event flow | ✓ Source → Actor → Destination | Not named |
| On-device model escalation | ✓ Opportunistic local model (loopback) | Not advertised |
| Per-agent assurance / trust score | Content-free & verifiable (open source) | Runtime assurance (proprietary) |
| Compliance mappings | OWASP LLM + NIST CSF + NIST AI RMF + SOC 2 + ISO 27001/42001 + EU AI Act | NIST CSF/RMF, SOC 2, ISO 27001, EU AI Act, OWASP/MITRE |
| Platforms | macOS + Windows | macOS + Windows + Linux + containers |
| Delivered as | Standalone open agent — no account | Proprietary endpoint agent + console |
Where Certiv is stronger. Momentum and reach. Certiv launched with a $4.2M pre-seed and a crisp “Runtime Assurance Layer” category story, and it lists macOS, Windows, Linux, and containers today — the container/CI surface where coding agents increasingly run. MoorAI ships macOS and Windows, with Linux and containers on the roadmap.
Where MoorAI is stronger. Trust and depth. MoorAI is open source, so its content-free guarantee is verifiable, not asserted — the strongest claim in a category whose whole value is “we don't see your content.” It goes deeper on the coding agent (OWASP LLM Top 10 detectors + AIBOM), ships a content-free data-lineage view, adds opportunistic on-device model escalation, a named lethal-trifecta detector, and a content-free per-agent assurance score that is trustworthy precisely because you can read the code that computes it.
Bottom line. Certiv validates the category; MoorAI is the open one. If “content-free” is the point, the source that produces it should be readable. Choose the AI agent security you can audit.
Certiv capabilities described here are drawn from Certiv's published positioning and launch coverage (Certiv emerged from stealth in March 2026); specifics — including exactly how content-free the telemetry is — are best verified against Certiv's own documentation. Certiv is a trademark of its respective owner; this page is not affiliated with or endorsed by Certiv. Comparison is architecture-level. “Verify” marks a claim we could not confirm from published material.