Lakera vs Protect AI: AI Security Comparison
Compare Lakera and Protect AI side by side. Both are tools in the AI Security category.
Updated March 9, 2026
The short answer
Choose Lakera if real-time protection against prompt injection and LLM-specific attacks.
Choose Protect AI if comprehensive security coverage across the entire AI/ML lifecycle.
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Quick Comparison
| Category | AI Security | AI Security |
| Pricing | Freemium | — |
| Best For | Teams deploying user-facing LLM applications who need protection against prompt injection | — |
| Website | lakera.ai | protectai.com |
| Key Features |
| — |
| Use Cases |
| — |
Pros & Cons: Lakera vs Protect AI
- +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
- −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
- +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
- −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
Pricing: Lakera vs Protect AI
- · Free tier for testing
- · Individual developers
- · Research use
- · Small teams
- · Flexible request volumes
- · Configurable prompt sizes
- · Enterprise-grade support
- · Custom SLAs
- · Model vulnerability scanning
- · Supply-chain security
- · Runtime threat detection
- · Policy enforcement
When to Choose Lakera vs Protect AI
- Protecting LLM apps from prompt injection
- Automated content moderation
- PII detection before data reaches LLMs
How to Choose a AI Security Tool
Key criteria to evaluate when comparing AI Security solutions:
About Lakera
Lakera is an AI-native security company founded in 2021 in Zurich, Switzerland by Mateo Rojas Carulla, Matthias Kraft, and David Haber. The company provides real-time GenAI security solutions that protect enterprises from LLM vulnerabilities including prompt injection, data leakage, and jailbreaking attacks. Lakera's platform includes Lakera Guard for real-time protection of AI applications and Lakera Red for AI-powered red teaming and security testing. The Zurich-based team comprises individuals from over 15 nationalities and officially launched in October 2023 with million in funding. Following a M Series A round in July 2024 led by Atomico, with participation from Citi Ventures, Dropbox, and Redalpine, Lakera was acquired by Check Point Software Technologies. The company gained visibility through Gandalf, a popular prompt injection challenge that demonstrated LLM security vulnerabilities. Lakera offers a free Community plan for developers and custom Enterprise pricing for production applications.
About Protect AI
Protect AI is an enterprise AI/ML security platform founded in 2022 by Badar Ahmed, Daryan Dehghanpisheh, and Ian Swanson. Headquartered in Seattle with offices in Berlin and Bangalore, Protect AI provides end-to-end security covering the entire model lifecycle. The 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, addressing the growing need for specialized AI security tooling as organizations increasingly rely on machine learning models in production environments. The company serves enterprise customers with production AI deployments who require comprehensive security coverage across their ML operations.
What is AI Security?
Platforms focused on securing AI systems—prompt injection defense, content moderation, PII detection, guardrails, and compliance for LLM applications.
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