Metomic
Data privacy and compliance tool for no-code SaaS apps
What is Metomic?
Try MetomicMetomic helps teams discover and control sensitive data across cloud and SaaS apps, and extends that same classification approach to AI data security. It inspects agent requests and the AI tools people use, so you can coach, allow, block, or hold risky requests for approval in real time. With one setup covering multiple tools, Metomic aims to keep sensitive information from reaching the wrong places while supporting compliance and day-to-day productivity.
What problem does Metomic solve for cloud, SaaS, and AI teams?
Metomic finds sensitive data (like PII, PHI, and PCI) across your SaaS environment, then uses that classification to control what reaches sensitive information as people and agents work. It’s positioned as a security control point between AI and enterprise data, helping you govern “shadow AI” and prevent risky access to sensitive data.
How does Metomic handle sensitive requests in real time?
Metomic can coach, allow, block, or hold a risky AI request for approval the moment it happens. It’s designed to inspect agent requests and AI tool usage as requests pass through Metomic, so you can intervene before sensitive data reaches external models.
What does “sensitive data discovery” include in Metomic?
Metomic uses a classification engine to locate sensitive data across apps (for example, at rest in tools like Slack and Google Drive) and to identify what’s being accessed as agents and users work with AI tools. It relies on classifiers tuned over years on real SaaS data to improve accuracy.
Is Metomic no-code friendly for setting up alerting and workflows?
Metomic is designed to be easy to integrate and get running quickly, with onboarding that guides you through setup. Customers highlight that it can be implemented with a few clicks and that configuring alerting workflows is straightforward.
Which tools can Metomic connect to without setting up a connector for each AI vendor?
Metomic emphasizes a connector-based approach: set up a connector once in Metomic, and then AI tools people open in the browser can receive the same access model. The platform also supports integration across a range of SaaS tools such as Slack, Google Drive, Microsoft 365, Microsoft Teams, Jira, Zendesk, Notion, Confluence, Dropbox, and Atlassian tools like Trello, among others.
How does Metomic support compliance and reduce risk of sensitive data exposure?
By classifying sensitive data and tying those labels to security actions, Metomic helps teams control how sensitive information is handled across the tools people use. It’s intended to give you verifiable visibility and support a proactive approach to compliance and security, including preventing sensitive data from being shared or residing in places it shouldn’t.
What does Metomic do for AI agents and enterprise data?
Metomic acts as a security control point between AI and your enterprise data. It understands what’s inside requests, inspects agent interactions and AI tool usage, and can redact, hold for human approval, or block sensitive content before it reaches external models.
How does Metomic handle sensitive requests in real time?
As an agent reaches for data, Metomic inspects the request content in context and can allow it, redact sensitive parts, hold it for human approval, or block it entirely. This enforcement is designed to apply least-privilege access at the gateway as requests occur.
How does Metomic discover and govern Shadow AI?
Metomic surfaces the unapproved tools and MCP servers running outside your approved paths, including browser-based tools and other AI interactions that can bypass standard controls. It’s intended to help you govern that shadow layer so sensitive data has accountability instead of leaving with no record.
What are MCP Gateway and inference hooks?
Metomic includes an MCP Gateway for agent or tool traffic that speaks MCP, and Claude Inference Hooks for prompts typed straight into Claude Enterprise. Together, they help you control interactions across approved AI paths, while Shadow AI discovery covers additional unapproved usage.
What does Metomic keep for auditing, and how does it support compliance?
Metomic provides full visibility and assurance by keeping a full record of agent actions. It is designed so that only findings and metadata are retained for the audit trail, with visibility ready for auditors or regulators.
How quickly can Metomic be deployed for the tools your team already uses?
Metomic is hosted and preconfigured for the tools you already run, so you can get visibility from day one before you write a single policy. It’s built to stream visibility into your SIEM and then enforce actions as requests happen.