Keywords AI

Lasso Security vs Snyk

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

Quick Comparison

	Lasso Security	Snyk
Category	AI Security	AI Security
Pricing	Enterprise	—
Best For	Enterprises that need to monitor and secure AI interactions	—
Website	lasso.security	snyk.io
Key Features	LLM interaction security Real-time content analysis Data loss prevention for AI Compliance monitoring Anomaly detection	—
Use Cases	Preventing data leaks through AI interactions Monitoring employee AI usage Compliance enforcement for AI tools Detecting malicious AI interactions Enterprise AI security posture	—

When to Choose Lasso Security vs Snyk

Choose Lasso Security if you need

Preventing data leaks through AI interactions
Monitoring employee AI usage
Compliance enforcement for AI tools

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 Lasso Security

Lasso Security provides cybersecurity for large language models, protecting enterprises from LLM-specific threats. Their platform monitors and secures LLM interactions, detecting prompt injection, data leakage, and unauthorized access patterns. Lasso provides visibility into how AI is being used across the organization and enforces security policies.

View Lasso 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.