Lakera vs Snyk: AI Security Comparison
Compare Lakera and Snyk 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 Snyk if developer-friendly with seamless IDE and CI/CD integration for shift-left security.
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 | snyk.io |
| Key Features |
| — |
| Use Cases |
| — |
Pros & Cons: Lakera vs Snyk
- +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
- +Developer-friendly with seamless IDE and CI/CD integration for shift-left security
- +Extensive and continuously updated vulnerability database ensures early threat detection
- +Comprehensive coverage across code, containers, IaC, and open-source dependencies
- +Strong AI security capabilities specifically designed for ML/AI development workflows
- −Frequent false positives can create alert fatigue and slow down development
- −Poor customer support with slow response times during critical security issues
- −Scans can take several minutes for medium-sized repositories, slowing CI/CD pipelines
- −Documentation quality inconsistent, making troubleshooting and configuration difficult
Pricing: Lakera vs Snyk
- · Free tier for testing
- · Individual developers
- · Research use
- · Small teams
- · Flexible request volumes
- · Configurable prompt sizes
- · Enterprise-grade support
- · Custom SLAs
- · Limited scans
- · Open source scanning
- · IDE integration
- · Community support
- · Up to 10 developers
- · Unlimited scans
- · CI/CD integration
- · Container scanning
- · Unlimited developers
- · SSO/SAML
- · Advanced reporting
- · Dedicated support
When to Choose Lakera vs Snyk
- 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 Snyk
Snyk is the leading developer-first security platform with comprehensive AI security capabilities. Founded in 2015 and headquartered in Boston, Snyk has evolved from an open-source vulnerability scanner into a full-spectrum application security platform. The company's Snyk for AI offering (evolved from DeepCode acquisition) scans code, dependencies, containers, and infrastructure-as-code for AI-specific vulnerabilities including insecure model loading, prompt injection risks, and vulnerable ML library dependencies. Developers can detect and fix security issues directly in their IDE and CI/CD pipelines, making Snyk the most widely adopted security tool among AI developers. The platform features an extensive and continuously updated vulnerability database, providing early detection of security issues. Snyk offers multiple product tiers including a free plan with limited features, a Team plan starting at $25/developer/month for small teams up to 10 developers, and custom Enterprise plans with advanced security features, SSO, and dedicated support for large organizations.
What is AI Security?
Platforms focused on securing AI systems—prompt injection defense, content moderation, PII detection, guardrails, and compliance for LLM applications.
Browse all AI Security tools →