Shadow AI Discovery
Maps all agents, MCP servers, copilots, and browser-based AI tools in use across the organization, whether approved or not.
Picari insights
Security and compliance teams in regulated or data-sensitive organizations seeking comprehensive visibility and data loss prevention across employee-adopted AI tools, agents, and copilots.
- Auditing unapproved GenAI and browser-based AI usage
- Preventing sensitive data leaks into third-party LLMs
- Mapping emerging AI ecosystem components like MCP servers and agents
- Organizations focused solely on securing in-house, custom-built ML models and pipelines
- Teams seeking an end-to-end traditional Cloud Security Posture Management (CSPM) platform
- Environments requiring strict network-level blocking without browser or identity integration
Ask about pricing, alternatives, or if Shadow AI Discovery is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
AI tool governance without blanket bans
Compliance audit trails for ISO 27001 and DORA submissions
Prevent Shadow AI data leakage
Real-time sensitive data redaction
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Security & compliance
Frameworks Metomic Shadow AI Discovery reports for security, privacy, and regulatory compliance.
SOC 2 Type II
AICPA security & availability audit
Metomic Shadow AI Discovery pricing and integrations
For Metomic Shadow AI Discovery integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Metomic? Verify this profileProfile last updated on 9 October 2026 by Picari.