Lumia Security
AI NativeAI@Work – Safely. Responsibly. Governed.
Est 2025|Raised $18M
AI@Work – Safely. Responsibly. Governed.
Published Sep 19, 2026
| Starting Price | Not publicly listed (likely enterprise quote) | Typically enterprise quote (varies by modules) | Enterprise pricing (varies by IBM stack) |
| Best For | Enterprises seeking network-layer visibility and enforcement over employee AI usage and agent actions | Organizations needing broader data security/privacy governance and AI governance features across data systems | Organizations standardizing on IBM ecosystem for model governance and AI governance workflows |
| Key Strength | Vendor describes protocol analysis for AI apps and network-layer policy enforcement; agent action auditing | Broad governance scope across privacy/data/AI governance; compliance-focused capabilities | Enterprise governance processes, integration with IBM platform and AI lifecycle management |
| Key Weakness | New vendor; limited public proof; unclear certifications/pricing; potential inline complexity | May be broader than needed if only interaction control is required; implementation scope can be large | Can be heavyweight; may not address "shadow AI" usage control without complementary controls |
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Sources:
Established SSE/SASE vendors (Zscaler/Netskope/Palo Alto) typically offer:
Buyers should validate whether a separate platform is required versus augmenting existing SSE/SASE controls.
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The broader industry trend is shifting from blocking consumer AI tools toward runtime governance as AI becomes embedded into many applications.
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