Keywords AI

Pangea vs Prompt Security

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

Quick Comparison

Pangea
Pangea
Prompt Security
Prompt Security
CategoryAI SecurityAI Security
PricingEnterprise
Best ForEnterprise security teams who need comprehensive protection for all generative AI usage
Websitepangea.cloudprompt.security
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 Pangea vs Prompt Security

Prompt Security
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 Pangea

Pangea is the "Twilio for Security" — a set of composable security APIs that developers embed directly into AI applications. It provides audit logging, data redaction, embargo compliance, IP reputation, and domain intelligence as simple API calls. For AI apps, Pangea's Redact API strips PII from prompts, its AI Guard detects prompt injections, and its Audit API creates tamper-proof logs of all AI interactions.

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.

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.

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