Lakera vs Protect AI (2026)
Updated March 9, 2026
Overview
Lakera provides real-time AI security that protects LLM applications from prompt injection, jailbreaks, data leakage, and toxic content. Lakera Guard is a low-latency API that scans inputs and outputs to detect and block attacks before they reach the model. The platform defends against the OWASP Top 10 for LLMs and is used by enterprises to secure customer-facing AI applications.
Protect AI provides end-to-end AI/ML security covering the entire model lifecycle. Its platform includes model scanning for vulnerabilities, supply-chain security for ML artifacts, runtime threat detection, and policy enforcement. Protect AI helps enterprises secure AI pipelines from development through production deployment.
Key features
Core capabilities each platform advertises.
- Prompt injection detection
- Content moderation
- PII detection and masking
- Real-time threat monitoring
- API-based security layer
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Real-time protection against prompt injection and LLM-specific attacks
- Free tier enables testing and evaluation without upfront costs
- AI-powered red teaming helps identify vulnerabilities proactively
- Acquired by Check Point provides enterprise credibility and long-term stability
Cons
- Enterprise pricing not publicly disclosed makes budget planning difficult
- Smaller ecosystem compared to established security vendors
- Custom pricing model may not suit teams seeking predictable costs
- Relatively new company with limited long-term production track record
Pros
- Comprehensive security coverage across the entire AI/ML lifecycle
- Specialized focus on AI-specific threats and vulnerabilities
- Enterprise-grade features including supply-chain security and policy enforcement
- Strong runtime threat detection capabilities
Cons
- No public pricing makes budget planning difficult
- Enterprise-only model may not be accessible for smaller teams
- Requires consultation with sales team for quotes, adding friction to evaluation
- Custom pricing based on deployment scale can lead to unpredictable costs as AI usage grows
Lakera or Protect AI — which should you choose?
Choose Lakera if you wantChoose if you want
- Protecting LLM apps from prompt injection
- Automated content moderation
- PII detection before data reaches LLMs
- Compliance monitoring for AI systems
- Real-time security threat prevention
Choose Protect AI if you wantChoose if you want
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