Metomic
The security control point between AI and enterprise data.
By Metomic · 4.8/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Security and data-governance teams that must govern AI agents, MCP servers and browser AI without blocking employee adoption.
- Regulated enterprises in healthcare, fintech and insurance that must redact PII/PHI/PCI before content reaches an external LLM.
- SaaS-heavy organisations with sensitive data spread across Slack, Google Workspace, Microsoft 365, Salesforce and Snowflake.
- Teams that need an audit trail of every AI interaction for auditors and regulators, streamed into an existing SIEM.
Ideal size: 200–5,000 employees people · Security-mature scale-up or enterprise rolling out AI agents
Not for
- Companies with little or no AI, copilot or MCP usage yet — the gateway and inference hooks add limited value.
- Buyers wanting a pure endpoint DLP or CASB suite rather than an AI and data-in-motion control point.
- Small teams looking for self-serve, transparently priced software; Metomic is quote-based and demo-led.
- Organisations unwilling to route agent or model traffic through a gateway or inference hook.
Value metrics scorecard
Time-to-Value
Visibility from day one; first value in days
~7 days to first production value
Total Cost of Ownership
On request
Per-seat pricing, billed annually, across three tiers: Discover, Govern and Enterprise. Rates are not published; pricing is quoted after a demo.
Implementation Friction
1/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Three plans (Discover, Govern, Enterprise); no published seat minimums.
Add-on costs
- None
Company & support
Who is behind Metomic, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatAll plans
- Support portal / ticketsAll plans
- Community forumNot listed
- Help centre / docsNot listed
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- 24/7
- Response time
- Not stated
Pricing page lists 24/7/365 support via web chat and ticketing as included on all three plans; the Enterprise plan adds a dedicated customer success manager.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Metomic sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Metomic
- Onspring
- Nightfall AI
- Druva
- Dashlane
- Zluri
Add or change companies
Up to 10 companies including Metomic. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Metomic ships in AI, and what it asks of your ecosystem.
AI features shipped
Metomic's 'AI Judge' weighs the content of each request in context and decides to allow, redact, hold for human approval or block. The product's headline job is governing AI agents, MCP servers and shadow AI rather than generating content, and no source states which model provider powers it or whether customer data is used for training.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Full audit trail
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Metomic is a security control point between AI and enterprise data. Its hosted MCP Gateway and inference hooks inspect agent and model traffic in real time, allowing, redacting, holding or blocking requests, while Shadow AI discovery surfaces unapproved browser AI and MCP servers. It also adds data-loss prevention across Slack, Google Workspace, Microsoft 365, Salesforce and Snowflake. Pricing is quote-based per seat across Discover, Govern and Enterprise tiers; deployment is hosted and preconfigured, and Metomic states SOC 2 Type II certification.
Frequently asked questions
What does Metomic do that our existing DLP does not?
Metomic focuses on AI and data in motion: it inspects MCP agent traffic, model prompts and browser AI, then allows, redacts, holds or blocks each request before sensitive content reaches an external model. Classic DLP classifies data at rest inside SaaS apps; Metomic also inspects the request content itself and streams findings, metadata and a full record of agent actions to your SIEM.
How is Metomic priced and how quickly do we see value?
Pricing is per seat across three tiers — Discover, Govern and Enterprise — quoted after a demo; no rates or seat minimums are published. Metomic is hosted and preconfigured for the tools you already run, with no agents on endpoints. The vendor claims visibility from day one and value from week one, before any policy is written.
Which AI tools and SaaS applications are covered?
The MCP Gateway covers any agent or tool that speaks MCP, while inference hooks cover prompts typed into Claude Enterprise and other direct model calls. Shadow AI discovery covers unapproved browser AI. Content inspection is listed for Salesforce, Slack, Jira, Google Drive, Snowflake, Box, Confluence, Notion, ChatGPT, Zendesk, Linear, Dropbox and Microsoft 365.
What compliance and security evidence can we rely on?
Metomic states it is SOC 2 Type II certified (AICPA) and offers in-region hosting in the UK, EU, DE, US and more, plus SSO, role-based access, a granular audit log, SIEM integration and encrypted data at rest and in transit. Enterprise adds bring-your-own encryption key, a split-brain gateway, custom terms and an adjusted DPA. ISO 27001, HIPAA, FedRAMP and ISO 42001 are not claimed on the vendor's pages.
Will Metomic slow down how our teams use AI?
Metomic positions itself as governing rather than banning AI: shadow AI is surfaced so it can be governed, and each request can be coached, allowed, redacted, held for human approval or blocked. Approved-AI rules and least-privilege agent permissions are enforced at the gateway, with auto-alerting and approval flows when MCP scopes change.
How do we get support?
The pricing page lists 24/7/365 support by web chat and ticketing as included on all three plans, and the Enterprise tier adds a dedicated customer success manager.