Metomic is a DSPM tool for finding and securing sensitive data in SaaS applications. Aona is a full AI governance and agent security platform. Here is how they compare.
See how Aona compares →Metomic finds sensitive data in your SaaS apps. Aona governs your AI programme. Different problems.
Metomic discovers and classifies sensitive data across SaaS applications — Slack, Google Drive, Jira, Notion, and more. It finds exposed PII, credentials, and sensitive documents, and provides automated redaction to remediate data exposure risks.
Aona covers the full enterprise AI security surface: governing how employees use AI tools, securing AI agents through Red and Blue Team automated testing, and helping teams build compliant agents. Detection plus automated remediation.
SaaS data security vs AI governance — side by side.
| Feature | Aona AI | Metomic |
|---|---|---|
| SaaS sensitive data discovery | ||
| Data classification in cloud apps | ||
| Slack / Google Drive scanning | ||
| Automated redaction | ||
| Shadow AI discovery (employee-level) | ||
| AI governance policy enforcement | ||
| AI agent security testing (Red Team) | ||
| AI agent security testing (Blue Team) | ||
| Automated AI remediation | ||
| Build compliant AI agents | ||
| EU AI Act / ISO 42001 compliance | ||
| AI usage audit trail | ||
| Cloud deployment | ||
| On-premises deployment |
Metomic is a data security posture management (DSPM) platform that helps organisations find and secure sensitive data across their SaaS applications. It connects to tools like Slack, Google Drive, Jira, Notion, Confluence, and many others, and continuously scans for sensitive data — PII, credentials, financial data, and confidential documents — that may be improperly shared or exposed.
When Metomic finds sensitive data, it can automatically redact it, notify the owner, or trigger remediation workflows. The platform is designed for security teams who need visibility into data exposure across their growing SaaS estate — a problem that becomes harder as organisations adopt more cloud collaboration tools.
Metomic has some features related to AI data exposure — detecting when sensitive data flows through AI-connected integrations or AI-powered SaaS features. However, this is an extension of its DSPM capability, not a dedicated AI governance solution.
What Metomic does not cover: comprehensive Shadow AI discovery at the employee level, AI agent security testing (Red/Blue Team), AI-specific acceptable use policy enforcement, or compliance reporting for AI regulations like the EU AI Act or ISO 42001.
Aona is a full AI security platform built to cover three distinct layers of enterprise AI risk — each of which Metomic does not address.
Aona discovers every AI tool in use across your organisation — sanctioned and unsanctioned — and surfaces Shadow AI risk before it becomes a security incident or compliance failure. It enforces acceptable use policies, blocks sensitive data from being shared with unapproved AI tools, and coaches employees in real time on safe AI usage. See more on the AI governance page.
As enterprises deploy AI agents and agentic workflows, the attack surface extends beyond SaaS data. Aona provides automated Red Team testing — simulating adversarial attacks against your agents — and Blue Team monitoring to detect anomalous agent behaviour in production. When issues are found, Aona's automated remediation responds without waiting for a human analyst. Learn more on the AI security page.
Aona helps development teams build AI agents that meet regulatory requirements from the start — with policy guardrails, compliance controls, and audit trails built into the development workflow, not bolted on after deployment.
Metomic is a DSPM tool — it finds sensitive data wherever it lives in your SaaS stack. AI is one of many destinations where data might leak, but Metomic's primary mission is data discovery and classification across all cloud apps.
Aona is an AI governance platform — it governs the full AI surface including employee AI usage, AI agent security, and AI regulatory compliance. Data exposure to AI tools is one aspect of AI risk; Aona covers the entire AI governance surface.
Metomic may detect sensitive data flowing through AI-connected SaaS integrations. But it cannot tell you which standalone AI tools employees are using — ChatGPT in a browser, Claude via API, or dozens of AI-powered SaaS tools that employees adopt independently.
Aona provides comprehensive employee-level Shadow AI discovery — mapping every AI tool in use across the organisation, by employee, by department, with full context about data exposure and policy compliance.
Metomic does not test AI agents. Its focus is on data discovery and remediation in SaaS applications — a completely different security domain from AI agent security.
Aona provides dedicated AI agent security testing: Red Team simulation to find vulnerabilities before deployment, and Blue Team monitoring to catch anomalous behaviour in production. This is a capability that DSPM tools are not designed to provide.
Metomic supports data-focused compliance — helping organisations meet GDPR, HIPAA, and PCI requirements by ensuring sensitive data is not improperly exposed in SaaS applications.
Aona addresses AI-specific regulations — EU AI Act, ISO 42001, and NIST AI RMF. These frameworks require purpose-built AI governance tools that provide AI risk assessments, AI audit trails, and AI compliance reporting.
What is the difference between Aona and Metomic?
+Does Metomic monitor AI tool data exposure?
+Can Metomic test AI agents for security vulnerabilities?
+Does Aona replace Metomic for SaaS data security?
+Can Aona and Metomic be used together?
+Book a 30-minute demo and see how Aona governs employee AI usage, secures AI agents, and supports your AI compliance programme.
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