Keywords AI

Prompt Security vs Snyk

Compare Prompt Security and Snyk side by side. Both are tools in the AI Security category.

Quick Comparison

	Prompt Security	Snyk
Category	AI Security	AI Security
Pricing	Enterprise	—
Best For	Enterprise security teams who need comprehensive protection for all generative AI usage	—
Website	prompt.security	snyk.io
Key Features	Full-stack GenAI security platform Prompt injection prevention Shadow AI detection Data leakage prevention Security posture management	—
Use Cases	Securing enterprise LLM deployments Detecting unauthorized AI usage Preventing sensitive data exposure in AI GenAI security compliance Shadow AI governance	—

When to Choose Prompt Security vs Snyk

Choose Prompt Security if you need

Securing enterprise LLM deployments
Detecting unauthorized AI usage
Preventing sensitive data exposure in AI

Pricing: Enterprise

How to Choose a AI Security Tool

Key criteria to evaluate when comparing AI Security solutions:

Threat coverageProtection against prompt injection, jailbreaks, data leakage, and other LLM-specific attacks.

Latency impactProcessing overhead added to each request — critical for real-time applications.

CustomizationAbility to define custom security policies and content rules for your domain.

Compliance supportBuilt-in PII detection, data residency controls, and audit logging for regulatory requirements.

About Prompt Security

Prompt Security provides enterprise GenAI security across the entire AI stack. Their platform protects against prompt injection, data exfiltration, harmful content, and shadow AI usage. It works as a transparent proxy for all LLM traffic, enabling centralized security policy enforcement without changing application code.

View Prompt Security profile →Visit website

About Snyk

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.

View Snyk profile →Visit website

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 →

Frequently Asked Questions

What are the main security risks with LLM applications?▾

The primary risks are prompt injection, data leakage, jailbreaking, and hallucination. Each requires different mitigation strategies.

Do I need a dedicated AI security tool?▾

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.