Keywords AI

Cisco (Robust Intelligence) vs Snyk

Compare Cisco (Robust Intelligence) and Snyk side by side. Both are tools in the AI Security category.

Quick Comparison

	Cisco (Robust Intelligence)	Snyk
Category	AI Security	AI Security
Pricing	Enterprise	—
Best For	Enterprise security and compliance teams responsible for AI risk management	—
Website	robustintelligence.com	snyk.io
Key Features	AI firewall and guardrails Model validation and testing Continuous monitoring Compliance reporting Enterprise security policies	—
Use Cases	Enterprise AI governance Model risk management Regulatory compliance for AI systems Automated AI security testing Production AI monitoring	—

When to Choose Cisco (Robust Intelligence) vs Snyk

Choose Cisco (Robust Intelligence) if you need

Enterprise AI governance
Model risk management
Regulatory compliance for AI systems

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 Cisco (Robust Intelligence)

Robust Intelligence, acquired by Cisco in late 2024, provides AI validation and protection. Now integrated into Cisco's security portfolio, the platform offers automated red-teaming, continuous model validation, and runtime firewall protection for LLM applications. It detects adversarial attacks, data poisoning, hallucinations, and prompt injections across the AI lifecycle.

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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.

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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.