MoorAI vs Salt Security
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MoorAI secures the developer's on-device use of AI coding agents. It reviews prompts and MCP tool-calls locally, on the machine, before anything reaches an API — content-free by construction, so by default 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 signals — a category, a risk level, a keyed one-way hash. A PreToolUse hook, an MCP stdio proxy, and a companion browser extension; a 67-threat matrix behind them. Open source (MIT).
Salt Security is an enterprise API-security platform extending to agentic AI through its Agentic Security Graph — a graph of every LLM, MCP server, agent and API in the environment, delivered through a module family Salt names in its own material: Salt Surface (external scanning for exposed MCP endpoints and rogue assets on the internet), Salt Connect (source-repo and configuration analysis discovering internal MCP servers and API inventory), Salt Collect (runtime API-traffic analysis of live behavior and agent interactions), and Salt Protect (real-time behavioral threat detection). Salt Protect, per Salt, “detect[s] and block[s] API threats in real time.” (salt.security/protect) Salt positions the platform against ISO 42001’s data-governance objectives (Clause 5.4, Clause 8, Annex A.2.5).
The wedge is the layer, not the feature list. Salt is a mature platform inspecting API traffic inline and org-wide, at the network layer, after a request is on the wire. MoorAI 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? Salt sees the exfiltration attempt at the gateway; MoorAI sees the tool call before it runs, including local tool activity over stdio that never touches the network. The two stack cleanly — Salt at the API layer, MoorAI at the endpoint below it — and this page keeps the rows where Salt covers far more ground.
Salt sells two different things — this page compares one of them. This is the Agentic Security Graph, the enterprise platform. Salt also ships Salt Code, a free product that plugs into AI coding assistants as a remote MCP server (salt-code.secured-api.com/mcp, bearer-token, per Salt’s own public repo). It is a different category: it returns security-policy guidance for the model to read while it writes code, and its install ships a rules file asking the assistant to consult it — ending “I’ll continue without it” when the server is absent. It reviews the code an agent writes; MoorAI governs what an agent does, and blocks it before it runs. Neither replaces the other. Salt Code gets its own comparison — MoorAI vs Salt Code →
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 — and its longest section is the one where Salt wins.
Where MoorAI goes deeper
The on-device, content-free, action-centric properties an inline API-layer platform can’t reach. An egress-centric platform observes what an agent is about to send; MoorAI intercepts the action — which tool is about to run, with which arguments — and decides before it executes. The two diverge most on MCP over stdio: a local filesystem, git, or database server never emits a packet, so a platform inspecting API traffic sees nothing there at all.
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| MoorAI | Salt Security | |
|---|---|---|
| No content-bearing telemetry, by architecture — verifiable | ✓ | ✗ |
| Only category · risk · keyed one-way hash leave the device | ✓ | ✗ |
| Reviews prompts on the device, before they become API traffic | ✓ | ✗ |
| Action interception — blocks the tool call before it executes | ✓ | ✗ |
| On-device MCP tool-call gateway over stdio (local filesystem / git servers) | ✓ | ✗ |
| MCP server allow-list at call time | ✓ | — |
| Per-tool MCP argument rules | ✓ | — |
| Sees local tool activity that never crosses the network | ✓ | ✗ |
| Transit-override detection — catches a redirected destination on the device | ✓ | — |
| Skill Analysis + rules-file poisoning detection (content-free, on-device) | ✓ | — |
| On-device OCR — pasted-image inspection never leaves the device | ✓ | ✗ |
| Browser GenAI interception — content-free extension guarding 8 chat apps (ChatGPT, Claude, Copilot, Gemini, Perplexity, Mistral, DeepSeek, Grok) | ✓ | —API-layer platform, not a browser interception surface |
| On-device model escalation — opt-in, content-free second opinion on ambiguous cases | ◐opt-in, default off; regex owns the decision, local Ollama or your own provider key | — |
| Cryptographically signed, tamper-evident decisions | ✓ | — |
| JIT elevation + entitlement envelope | ✓ | — |
| Per-agent assurance score | ✓ | — |
| Break-glass / offline fail-closed | ✓ | ✗ |
| Natural-language policy authoring | ✓ | — |
| Open source (MIT) — the content-free claim is auditable | ✓ | ✗ |
| No account, no platform to stand up | ✓ | ✗enterprise platform — but see Salt Code, below |
Where the two genuinely overlap
Salt’s agentic extension is real and specific, and it is worth stating plainly rather than marking it absent. Its graph discovers MCP servers and agents, keeps a central inventory of them, observes data flowing to and from models, and maps which tools and destinations each agent reaches — the same questions MoorAI answers on the endpoint, answered from the API layer. Anyone evaluating both should expect a real overlap here.
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| MoorAI | Salt Security | |
|---|---|---|
| Discovers MCP servers and AI agents | ✓ | ✓ |
| Live agent / model / MCP inventory (AIBOM ↔ Agentic Security Graph) | ✓ | ✓ |
| Reviews model I/O — the AI's output, not just the prompt | ✓ | ✓ |
| Per-agent destination map — which model or SaaS an agent reaches | ✓ | ✓ |
| Maps agent tools and actions across the environment | ✓ | ✓ |
| AI-governance evidence aligned to ISO 42001 objectives | ✓ | ✓ |
| Free to start | ✓ | ✓Salt Code is genuinely free; the Graph platform is commercial |
Where Salt covers more ground
This section is the honest half of the page, and it is the longer one. Salt’s home ground is enterprise API security, and its agentic work sits on top of a platform that has been discovering, observing and protecting APIs at organizational scale for years. That is an enormous amount of surface MoorAI does not attempt and has no roadmap to attempt. If the requirement is “one inline platform that sees and protects every agent and API across the whole organization,” that is Salt’s product and not ours.
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| MoorAI | Salt Security | |
|---|---|---|
| Runtime API-attack detection & blocking — BOLA, scraping, logic abuse | ✗ | ✓ |
| Inline, org-wide enforcement across all agent and API traffic | ✗ | ✓ |
| Org-wide API discovery — internal, partner, public, shadow & zombie APIs | ✗ | ✓ |
| API posture governance at scale — misconfig, excess permissions, exposed credentials | ✗ | ✓ |
| External attack-surface scanning of public MCP endpoints (Salt Surface) | ✗ | ✓ |
| Source-repo scanning for shadow APIs / MCP risk (Salt Connect) | ✗ | ✓ |
| Behavioral threat protection at the API layer — model theft, data poisoning | ✗ | ✓ |
| Session- and sequence-aware, low-and-slow attack detection over time | ✗ | ✓ |
| Blocks data exfiltration at the API / network layer (east-west traffic) | ✗ | ✓ |
| Secures server-side / non-endpoint agents — no software on the box | ✗ | ✓ |
| Governs any API consumer, not just coding agents | ◐ | ✓ |
| OS-independent — no per-endpoint agent to install per platform | ◐ | ✓ |
The two rows worth explaining. We do not mark Salt absent on “reviews model output” or “discovers agents” — its Data Traceability and discovery modules do those at the API layer, and those claims deserve to be taken at face value. What the ✗ marks on content are narrower and testable: MoorAI emits category · risk · keyed one-way hash and nothing else, the agent is MIT, and anyone can read the code and confirm there is no content path off the device. Salt inspects and classifies API traffic content by design — that is how an observability platform works — so “content stays on the device” is simply a different architecture, not a defect. And on the last two rows MoorAI is honestly partial: a companion browser extension covers eight chat surfaces content-free (ChatGPT, Claude, Copilot, Gemini, Perplexity, Mistral, DeepSeek, Grok) but not every API consumer, and MoorAI ships a per-endpoint agent that is first-class on macOS and Windows with an opportunistic second-class Linux tier (Tesseract OCR, no parity claim), where Salt’s API-layer view is OS-independent by nature.
Where MoorAI is stronger. The tool call, and the record of it. Salt’s enforcement is API-centric: it classifies the traffic an agent generates and blocks the malicious calls. That is genuinely useful and it catches exfiltration and API abuse. It does not see the action before it becomes traffic — an agent about to run a destructive shell command, read a credential file, or drive a local MCP server over stdio emits nothing for an API-layer platform to inspect. MoorAI sits at that exact point: allow-list the server, constrain the arguments, block before execution, and land a signed, content-free record — with in-toto/SLSA attestation of the action chain and a CycloneDX/SPDX AIBOM of the agent’s model, MCP and skill surface behind it — mapped to ISO 42001, NIST AI RMF, the EU AI Act, and both the OWASP LLM Top 10 and the OWASP Agentic Top 10 (ASI01–ASI10) — evidence an auditor can read that contains no one’s prompt content at all.
Where Salt is stronger. Runtime API security, at organizational scale. Salt discovers every API and MCP server across the environment including the shadow and zombie ones, governs their posture, watches the live traffic, and blocks attacks inline — Salt Protect, per Salt, using “patented behavioral analysis to detect and block API threats in real time.” (salt.security/protect) That is a mature platform for a security team that owns the whole API estate, and it reaches server-side agents and any API consumer MoorAI’s endpoint agent never touches. Those are different purchases for different problems.
Use both, honestly. They are more complementary than competitive. Run Salt if you need one inline platform discovering, governing and protecting every agent and API across the organization at the network layer. Run MoorAI where developers run coding agents with terminal and filesystem access, where you need the MCP layer governed at call time on the device — now rolled out fleet-wide via MDM (Intune and Jamf) — and where the evidence an auditor reads must contain no one’s prompt content at all.
Salt Security capabilities are mapped from Salt Security’s own published product, agentic-AI and module pages (Surface / Connect / Collect / Protect) and its ISO 42001 positioning as of 2026; quoted phrases are theirs. ◐ = partial — present but narrower than the other column. — = unconfirmed, not necessarily absent: it marks a capability Salt’s published material does not clearly document at call-time granularity. MoorAI marks reflect shipped, on-device capability. Salt Security and Agentic Security Graph are trademarks of Salt Security, Inc.; this is an independent capability comparison, not an endorsement, and every product here evolves — verify specifics against their current documentation.