Lumia Security
AI Usage Control platform that operates at the network layer to provide visibility and enforcement over employee and AI agent interactions with generative AI systems. Covers shadow AI discovery, data leakage prevention, PII protection, compliance enforcement, and autonomous agent guardrails.
Overview
Lumia Security is an AI Usage Control platform operating at the network layer that gives enterprises visibility and governance over how employees and autonomous agents interact with AI systems. Rather than a pure LLM proxy focused on token cost allocation, Lumia positions itself as a security and compliance layer — intercepting AI traffic to detect sensitive data exposure, enforce usage policies, and audit agentic workflows. Its proprietary Protocol Analysis Engine performs content-level risk assessment on AI interactions. The platform targets CISOs and IT security leadership at enterprises navigating AI adoption at scale. Pricing is not publicly disclosed; contact via sales demo.
The Verdict
Who Should Use Lumia Security?
Best For
- Enterprises needing governance over employee AI tool usage
- Security teams worried about shadow AI and data leakage
- Organizations deploying autonomous AI agents at scale
- CISOs seeking compliance-aligned AI policy enforcement
- Companies in regulated industries (finance, healthcare, legal)
Not Ideal For
- Teams primarily seeking token cost allocation by team (see LiteLLM)
- Startups or small teams — enterprise-only pricing and positioning
- Self-hosted open-source preference (commercial only)
- Developers wanting quick API integration without sales process
What's Great
- Network-layer enforcement — no code changes required to intercept AI traffic
- Shadow AI discovery identifies unsanctioned AI tool usage across the org
- PII and sensitive data leakage prevention across all AI interactions
- Autonomous agent guardrails for auditing and controlling agentic workflows
- Compliance maintenance aligned with regulatory frameworks
- Proprietary Protocol Analysis Engine for content-level risk assessment
Watch Out For
- No public pricing — enterprise sales process required
- Not focused on token cost tracking or chargeback by team (that's LiteLLM's niche)
- Limited public documentation and technical details
- Early-stage company with no disclosed customer count or funding
Pricing
View all features & details
Visibility & Discovery
- Shadow AI analysis
- Content-level AI interaction analysis
- Employee AI usage monitoring
- Autonomous agent activity auditing
Data Protection
- PII leakage prevention
- Sensitive data oversharing detection
- Data loss prevention for AI interactions
- Compliance-aligned policy enforcement
Governance
- Business policy enforcement
- Regulatory compliance maintenance
- Agent guardrails and controls
- Protocol Analysis Engine (proprietary risk scoring)
Deployment
- Network-layer operation (agentless)
- Works across all AI tools employees use
- Enterprise-only commercial offering
How It Compares
| Feature | Lumia Security | LiteLLM | Lakera Guard | Prompt Security |
|---|---|---|---|---|
| Primary Use | Enterprise AI governance | Team cost allocation | LLM input/output security | Enterprise AI security |
| Network Layer | Yes | Proxy/API | API | Proxy |
| Shadow AI Discovery | Yes | No | No | Partial |
| PII Scrubbing | Yes | Limited | Yes | Yes |
| Token Cost Tracking | No | Yes | No | No |
| Open Source | No | Yes | No | No |
| Pricing | Enterprise | Free + paid | Free tier | Enterprise |
| Agent Guardrails | Yes | No | Partial | Partial |