Keywords AI
Compare Snyk and Wiz side by side. Both are tools in the AI Security category.
Key criteria to evaluate when comparing AI Security solutions:
Snyk is the developer-first security platform with deep AI security capabilities. Snyk for AI (evolved from DeepCode) scans code, dependencies, containers, and infrastructure-as-code for AI-specific vulnerabilities. Developers use Snyk to detect insecure model loading, prompt injection risks, and vulnerable ML library dependencies directly in their IDE and CI/CD pipelines. The most widely adopted security tool among AI developers.
Wiz is the dominant cloud security platform and the leader in AI Security Posture Management (AI-SPM). It automatically discovers and maps shadow AI pipelines, model deployments, and training data across AWS, Azure, and GCP. Wiz identifies misconfigurations, exposed models, and sensitive training data risks across the entire AI supply chain. As the most widely adopted cloud security platform, Wiz is the de facto standard for securing enterprise AI infrastructure.
Platforms focused on securing AI systems—prompt injection defense, content moderation, PII detection, guardrails, and compliance for LLM applications.
Browse all AI Security tools →The primary risks are prompt injection, data leakage, jailbreaking, and hallucination. Each requires different mitigation strategies.
If your LLM application handles sensitive data or is user-facing, yes. Basic input validation is not enough — LLM attacks are sophisticated and evolving. Dedicated tools stay updated against new attack vectors and provide defense-in-depth.