// moorai vs salt security

MoorAI vs Salt Security

MoorAI secures the developer's on-device use of AI agents. It reviews prompts and MCP tool-calls locally, on the machine, before anything reaches an API — content-free by construction, so prompt and payload content never leaves the endpoint. It wraps the AI coding agents your developers already run: Claude Code, Codex, GitHub Copilot CLI. Security teams see only redacted, content-free signals — a category, a risk level, a one-way hash. Open source (AGPL-3.0).

Salt Security is an API-security vendor extending to agentic AI through its Agentic Security Graph, delivering four pillars: Agentic Discovery & Observability (a central record of APIs, MCP servers, and agent interactions), Posture Governance (access controls and configuration aligned to AI-management-system risk objectives), Data Traceability (observability into data flowing to and from models), and Behavioral Threat Protection (blocking model theft, data poisoning, and logic abuse at the API layer). Salt positions ISO 42001 as implicitly requiring API security, citing Clause 5.4, Clause 8, and Annex A.2.5.

These two operate at different layers. Salt secures the API and network layer — inline, org-wide, seeing API traffic to and from models. MoorAI secures the developer's on-device use of AI agents — content-free, on the machine, before anything reaches an API. They are largely complementary: Salt at the gateway, MoorAI at the endpoint. The comparison below is architecture-level, not a feature scorecard.

The wedge is the layer, not the feature list. Salt Security's Agentic Security Graph is a mature, API-centric platform. MoorAI is not trying to be a smaller version of it — it sits one layer earlier, on the endpoint, and answers a different question: before a prompt or an MCP tool-call ever becomes API traffic, was it allowed to leave this machine at all?

01Where does the inspection happen — at the gateway, or on the machine?
Salt inspects at the API/network layer: inline, org-wide, seeing the traffic to and from models. MoorAI inspects on the device, before send — the prompt and the model's reply are checked locally against policy, so the inspection itself never becomes egress. Different layer, and the two stack cleanly: Salt at the gateway, MoorAI at the endpoint below it.
02What leaves the machine to make governance work?
For an API-layer platform, the API traffic — prompts and payloads — flows through the gateway to be observed and classified. MoorAI is content-free by construction: what reaches the console is a category, a risk level, and a one-way hash, never the content. Where “the prompt cannot leave the machine” is a hard line, MoorAI sits below the gateway rather than replacing it.
03Can you prove ISO 42001 data governance without routing prompts through a vendor?
This is MoorAI's ISO 42001 angle: evidence without egress. Salt positions API security as implicitly required by ISO 42001 (Clause 5.4, Clause 8, Annex A.2.5) — and observes the API traffic to deliver it. MoorAI produces content-free, cryptographically signed decisions, a data-lineage / Event Flow view, an AIBOM, and compliance packs mapped to ISO 27001/42001 — auditor-ready proof that never required routing prompts or API payloads through anyone's cloud.

Salt Security and MoorAI operate at different scopes and different layers. Salt's Agentic Security Graph is an API-centric platform — discovery and observability of APIs, MCP servers, and agent interactions; posture governance; data traceability; and behavioral threat protection — enforced inline, org-wide, at the API layer. MoorAI does one thing: it reviews the prompts and MCP tool-calls a developer sends to a coding agent, locally on that developer's machine, before anything reaches an API — so content is never inspected off the device.

Where MoorAI is different. The on-device, content-free properties an inline API-layer platform can't match — Salt's genuine strengths are in the honest take below.

MoorAI Salt Security
Content never leaves the machine content-free by construction inspects & classifies content
Only category / risk / one-way hash leave the device redacted signals only content-based observability
No tokenize-and-forward of content no proxy, no forwarding API traffic through the gateway
Reviews prompts before they reach any model / API on the device, pre-send at the API layer, after send
Reviews AI output, not just prompts reviews prompts + responses data traceability — model I/O
On-device MCP tool-call gateway — blocks before the call runs pre-execution, on-device observes at the API layer
MCP server allow-list at call time Agency Enforcement allow-list posture governance; call-time unconfirmed
Per-tool MCP argument rules per-tool arg inspection payload inspection; per-tool unconfirmed
Model-endpoint allow-list approved-endpoint allow-list access controls; endpoint allow-list unconfirmed
Shadow-AI agent discovery on-device discovery agentic discovery
Browser + desktop AI-app discovery browser + desktop apps API-observed, not endpoint apps
AIBOM — live agent / model / MCP inventory live, content-free inventory central API / MCP / agent record
Content-free data lineage / Event Flow source → actor → destination content-based data traceability
Cryptographically signed, tamper-evident decisions per agency decision unconfirmed
JIT elevation + entitlement envelope JIT elevation + envelope unconfirmed
Per-agent assurance score per-agent, content-free unconfirmed
Rules-file poisoning detection fingerprint only, content-free unconfirmed
Lethal-trifecta / cross-server toxic-flow detection named content-free detector cross-flow graph; trifecta framing unconfirmed
Break-glass / offline fail-closed offline fail-closed cloud-inline, no offline mode
Natural-language policy authoring plain-language rules unconfirmed
Compliance packs (OWASP LLM Top 10 / NIST / ISO 27001·42001 / EU AI Act) full crosswalk ISO 42001 positioning; full pack unconfirmed
Open source (AGPL-3.0) AGPL-3.0 proprietary
No account / no platform to stand up open agent, no account enterprise platform
Free to start community agent, free commercial platform

The honest take. Salt Security is genuinely strong on its home ground — a mature API-security platform now extended to agentic AI, giving you inline, org-wide observability into API traffic, MCP servers, and agent interactions, with behavioral threat protection at the API layer and posture governance mapped to AI-management-system risk objectives. If your requirement is a single inline platform inspecting all agent and API traffic across the whole organization, that is exactly what it is built for. MoorAI is deliberately different: it sits one layer earlier, on the developer's machine, and is content-free by construction — so prompt and payload content never passes through a vendor at all, and it is open source. The two are largely complementary: Salt at the gateway, MoorAI at the endpoint below it. And we are precise about MoorAI's narrowness — its on-device MCP gateway governs Claude Code today via PreToolUse hooks, while Codex and Copilot CLI are detection-only, because those CLIs expose no equivalent enforcement hook yet.

Salt Security capabilities described here are drawn from Salt Security's own published material, including its ISO 42001 one-pager describing the Agentic Security Graph and its four pillars, and reflect its stated architecture. Salt Security and Agentic Security Graph are trademarks of Salt Security, Inc.; this page is not affiliated with or endorsed by Salt Security. Comparison is architecture-level — verify current specifics against each vendor's docs. A “—” cell means we could not confirm the capability either way from published material; it is not a claim that the capability is absent.

Recently shipped in MoorAI — all on-device and content-free: a lethal-trifecta detector, rules-file poisoning detection (CLAUDE.md / .cursorrules), a capture-tier toggle (content-free by default), per-tool MCP argument rules, a per-agent assurance score, a data-lineage / Event Flow view, on-device model escalation, just-in-time elevation, and cryptographically signed agency decisions — mapped across OWASP LLM Top 10, NIST CSF, NIST AI RMF, SOC 2, ISO 27001/42001, and the EU AI Act.

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