Lakera vs Protect AI for AI Security
Both are credible AI security platforms. They solve different problems for different stages of AI maturity.
Lakera
Protect AI
Figure 1. Lakera and Protect AI, scoped side by side.
How Lakera and Protect AI differ
The right choice depends on whether you have AI in production today or are securing the AI development pipeline.
| Lakera | Protect AI | |
|---|---|---|
| Product | Lakera Guard / Red | Protect AI Platform |
What each one is built for
Lakera
Lakera Guard / Red
Lakera focuses on runtime guardrails: input filtering, prompt-injection detection, output sanitization.
Protect AI
Protect AI Platform
Protect AI takes a broader CNAPP-equivalent approach: model security from build to runtime, including model scanning, ML supply chain, and runtime defense.
Match the tool to the scope
Pick Lakera if your priority is runtime guardrails for live LLM applications and you want fast time to value.
Pick Protect AI if you want broad MLSecOps coverage including build-time scanning, model registry security, and runtime protection.
Score your AI posture first.
Tools should fit gaps, not produce them. Run the free Posture Check to see which dimensions need help, then choose with that in hand.