// moorai vs pillar security

MoorAI vs Pillar Security

Last updated 2026-09-27

Pillar and MoorAI both put an agent on the developer’s machine. Pillar’s solutions page describes it: “Pillar extends to the endpoint to discover every AI coding agent, MCP server, plugin, and configuration across your fleet,” and “At runtime, we monitor every prompt, tool call, and command to detect prompt injection, tool poisoning, and data exfiltration. Deploy in minutes via MDM with no developer workflow disruption.” (pillar.security/solutions) Its launch post adds that it can “Alert, log, or block malicious actions based on your risk tolerance.” MoorAI sits at the same point, with the same three outcomes, plus coaching.

What differs is what each one keeps. Pillar’s runtime-guardrails page lists “Log every prompt, response, and tool call with metadata for audits and threat hunting,” with long-term retention. (pillar.security/platform/runtime-guardrails) That full record is a real advantage for investigation and threat hunting. MoorAI keeps the opposite by default: the decision is made on the device against a 77-threat matrix, and what reaches the console is category · risk · keyed one-way hash. Content is kept only if an administrator turns on a capture tier.

Pillar is also a platform, and the coding-agent product is one part of it. The same company sells discovery and posture for the AI you build, red teaming through RedGraph, runtime guardrails for AI applications and gateways, a runtime agent for CI/CD runners, and a published risk framework, SAIL. It also offers an on-premise deployment of the whole platform. MoorAI covers the agents on the endpoint. The rows where Pillar covers more ground are further down.

Two things this page does not state. (1) Exactly how Pillar’s endpoint agent intercepts. Pillar calls it “a lightweight sensor that intercepts agent actions” and says its runtime guardrails “sit at the same architectural seam as harness hooks, blocking dangerous tool calls at decision time.” (pillar.security/blog) Its documentation is behind a login, so where the verdict is computed and what reaches Pillar’s platform are not described here. (2) Pricing. We found no public price list; Pillar’s pages lead to a demo request. Every Pillar statement below is quoted from Pillar’s own site, and the page is named.

Both sit on the endpoint, so four other questions separate them.

01What does the record of a session contain?

For Pillar, the session: “Complete Interaction Tracing: Log prompts, responses, tool invocations, and results with timestamps,” and “Long-Term Retention: Store logs for compliance auditing and incident investigation.” (pillar.security/platform/runtime-guardrails) A responder can read exactly what the agent was told and did. For MoorAI, the record is a verdict: which rule fired, the risk, a framework mapping and a keyed hash, signed with ed25519. A responder can see what happened and prove it happened, but cannot read the prompt unless a capture tier was on. Which one you want depends on whether your constraint is investigation depth or holding developers’ prompts at all.

02Can the content stay inside the company?

With Pillar, yes, if you run it on-premise. Pillar writes that “With Pillar on-premise, the entire security platform - analyzers, logging, red teaming assessments, threat detection, guardrails - runs inside the customer’s environment,” and that “Sensitive prompts, AI outputs, and security logs never leave your environment.” (pillar.security/blog, on-premise, Sep 2025) That keeps content away from a vendor, and it means you operate the platform. MoorAI draws the line at the laptop instead: content is not collected in the first place, so there is no store of prompts to host, protect or subpoena, on-premise or anywhere else.

03Which coding agents are covered?

Pillar names more. Its launch post lists “Claude Code, Cursor, Codex, Antigravity, GitHub Copilot, OpenClaw and emerging AI development tools.” (pillar.security/blog/introducing-pillar-for-ai-coding-agents) MoorAI blocks on Claude Code through its PreToolUse hook, validated end to end; Codex, Copilot CLI, Gemini CLI and Cursor return a real deny through their own pre-tool hooks but have not yet been run against the live agents. Pillar also reaches CI/CD, where it says it is “extending the Pillar runtime agent from developer workstations to CI/CD workflows.” MoorAI does not run on build runners.

04How does each decide what is abnormal?

Pillar learns it: “Pillar establishes behavioral baselines for each agent deployment” (file access, command sequences, network calls, tool invocations) and alerts on deviation. It also scans agent configuration for risks such as auto-run flags and wildcard permissions. MoorAI is told it: you declare an entitlement envelope per agent (the tools, paths and MCP servers it may use), and MoorAI alerts or blocks outside it, alongside its threat matrix. A learned baseline finds what nobody thought to write down. A declared envelope is only as good as what you declare, and needs no behavioural history to work.

✓ yes ◐ partial — unconfirmed ✗ no

Where MoorAI holds ground Pillar does not

These rows follow from one choice: the evidence is content-free by default, and the code that makes it so is public.

	MoorAI	Pillar
By default only category · risk · keyed one-way hash leave the device	✓capture tiers are opt-in, admin-enabled	✗"Log every prompt, response, and tool call"
Verdict documented as computed on the laptop	✓77-threat matrix, local	—not stated publicly
Endpoint agent is open source, so the data claim can be checked in code	✓MIT	✗no public source found
Runs with no account, and coaches on every risky action	✓blocking needs the free console	✗demo-led
Free to enforce, without talking to sales	✓console free to 200 users	✗no public pricing
Coaching shown to the developer and the agent, with the safer alternative	✓	—
Browser GenAI guard from the same vendor, content-free	◐companion extension, 8 chat apps, loaded unpacked	—

Where Pillar covers ground MoorAI does not

This is the longer list. Pillar covers the AI you build and the pipelines that ship it, as well as the agents on laptops. MoorAI covers the laptops.

	MoorAI	Pillar
Coding agents named for runtime coverage	◐validated on Claude Code; Codex, Copilot CLI, Gemini CLI, Cursor adapters not yet validated live	✓Claude Code, Cursor, Codex, Antigravity, GitHub Copilot, OpenClaw
Runtime agent on CI/CD runners	✗endpoint only	✓
Full session record for incident response and threat hunting	◐content only under an opt-in capture tier	✓prompts, responses, tool calls, retained
Learned behavioural baseline per agent	◐declared entitlement envelope	✓
Agent configuration posture: auto-run flags, wildcard permissions, hardcoded MCP credentials	◐discovery plus pre-install scan	✓
Runs a skill in a sandbox to see what it actually does	◐static pre-install scan; no sandbox	✓sandbox execution of skills
Red teaming and attack-surface mapping of agents in production	◐moorai-redteam tests your policy against a local corpus	✓RedGraph
Guardrails for AI applications and AI gateways your company runs	✗	✓
Testing AI embedded in SaaS you do not own	✗	✓black-box red teaming
A published AI risk framework to plan and audit against	✗maps to OWASP, MITRE ATLAS, NIST AI RMF instead	✓SAIL, 90+ risks

Same capability, different mechanism

Both products do each of these, so the table describes how rather than scoring.

	MoorAI does it by…	Pillar does it by…
Shadow-agent discovery	Reading install and config metadata on each device: agents, AI apps and CLIs, MCP servers, browser extensions, and which account each agent is signed in as. Never tokens, never content.	Scanning workstations for agents, “dependency files and environment manifests,” and config directories such as `.cursor`, `.claude` and `.continue`, then analysing permissions and credentials.
Blocking at runtime	A PreToolUse hook in the agent and an on-device MCP gateway. Each returns a decision before the tool runs, and a critical hit can end the session.	The endpoint runtime agent, which can “alert your security team, log events for forensic analysis, terminate compromised sessions, or block specific operations.” Pillar describes “a lightweight sensor that intercepts agent actions”; the details are in documentation behind a login.
Secrets and PII	Checked on the device in prompts, files read into context, tool arguments and output. Blocked or redacted there, and recorded as a category and a keyed hash.	“Identify, mask, or block PII, PHI, secrets, and credentials in AI interactions,” with the interaction logged for audit.
Fleet rollout	A signed installer for macOS and Windows, enrolled into the console.	MDM, in minutes, per Pillar’s solutions page.
Keeping content inside your boundary	The boundary is the laptop. There is nothing to host, because content is not collected.	The boundary is your environment, when you run the whole platform on-premise, in a private data centre, sovereign cloud region or your own VPC.

MITRE ATLAS, as documented. In our reading of vendor material against the 76 ATLAS techniques tagged Agentic AI, Pillar’s published material documents 26 of the 76, 8 of them with a limit Pillar states itself (read 27 September 2026). That counts what the documentation says. It does not measure the product. The method and every quote behind the number are in What vendors actually document against MITRE ATLAS.

Where MoorAI is stronger. It does not collect the conversation. Pillar can keep prompts inside your perimeter; MoorAI does not create the store in the first place, and its MIT agent lets you check that in code and on the wire. It runs with no account, coaches from the first install, and is free to enforce up to 200 users.

Where Pillar is stronger. Breadth and depth of record. More coding agents named, a runtime agent on CI/CD runners, learned behavioural baselines, configuration posture scanning, RedGraph, guardrails for the AI applications and gateways you run, SAIL, and a full on-premise platform. When an incident needs the exact prompt and tool call, Pillar has kept them.

Which to run where. Run Pillar where the AI is yours to build and ship: applications, gateways, pipelines and CI/CD runners, and for red teaming. On developer laptops, decide by what the record may hold. If security may keep full prompts and tool calls, on-premise or in Pillar’s service, Pillar’s endpoint agent gives you a complete session trail. If it may not, run MoorAI there: the decision stays on the device and the console receives content-free evidence.

Questions about MoorAI and Pillar

Does Pillar Security run an agent on developer machines?

Yes. Pillar says it extends to the endpoint to discover AI coding agents, MCP servers, plugins and configuration, monitors every prompt, tool call and command at runtime, and deploys via MDM. It has also extended that runtime agent to CI/CD runners.

Does Pillar keep prompt content?

Pillar’s runtime guardrails log every prompt, response and tool call with metadata for audits and threat hunting, with long-term retention. With Pillar on-premise that data stays in your own environment. MoorAI sends only a category, a risk score and a keyed one-way hash by default.

Which coding agents does Pillar cover compared with MoorAI?

Pillar names Claude Code, Cursor, Codex, Antigravity, GitHub Copilot and OpenClaw. MoorAI enforcement is validated end to end on Claude Code; Codex, Copilot CLI, Gemini CLI and Cursor block through their own pre-tool hooks and are not yet validated against the live agents.

Is Pillar broader than MoorAI?

Yes. Pillar also covers AI applications and gateways you run, CI/CD runners, AI embedded in SaaS, red teaming with RedGraph and the SAIL framework. MoorAI covers the AI agents on developer and employee machines.

Pillar capabilities are taken from Pillar’s own published material, checked on 27 September 2026: pillar.security/solutions, Introducing Pillar for AI Coding Agents, pillar.security/platform/runtime-guardrails, Introducing Pillar for Agentic CI/CD, Securing AI On-Premise, Your agent harness has more privilege than your agent, Pillar’s post on the Latio 2026 report, pillar.security/redgraph and pillar.security/sail. Every quoted phrase is Pillar’s. Pillar’s documentation at docs.pillar.security is behind a login and was not read. ◐ = partial: present but narrower than the other column. — = unconfirmed, not necessarily absent. MoorAI marks reflect shipped capability: hook enforcement is validated end to end on Claude Code; Codex, Copilot CLI, Gemini CLI and Cursor block through their own pre-tool hooks and are not yet validated against the live agents. The agent is MIT and runs on macOS and Windows; the console is source-available under the Elastic License 2.0 and free up to 200 users. Pillar is a trademark of its owner; this page is independent and is not affiliated with or endorsed by Pillar Security. Both products change, so check specifics against current documentation.

See how MoorAI works → MoorAI vs Lasso → MoorAI vs Certiv → Compare MoorAI vs the field → GitHub ↗