Pangea is a specialized AI security platform designed to protect artificial intelligence applications and workflows. It offers tools and guardrails to safeguard against threats like prompt injection, data leakage, and other vulnerabilities in LLM-based systems, enabling organizations to deploy AI securely from development to production.
Is Pangea Free or Paid?
Pangea is primarily a paid platform with usage-based pricing, though it may offer complimentary credits or trials for new users to explore its features.
Pangea Pricing Details
Pangeaai operates on an API usage model where costs are deducted from an account balance as services are consumed. Here’s a breakdown of typical pricing tiers based on available information:
| Plan Name | Price (Monthly / Yearly) | Main Features | Best For |
|---|---|---|---|
| Starter | Free with limits (complimentary credits) | Basic access to guardrails, limited API calls, introductory threat detection | Developers testing AI security, small projects |
| Pay as You Go | Variable based on usage (e.g., per API request) | Full suite of AI guardrails, visibility tools, real-time response capabilities | Growing teams with variable AI workloads |
| Enterprise | Custom (contact for quote) | Advanced SLAs, dedicated support, custom integrations, high-volume credits | Large organizations with enterprise-scale AI deployments |
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Best Alternatives to Pangea
If Pangea doesn’t fit your needs, several alternatives provide similar AI security capabilities. Here’s a comparison:
| Alternative Tool Name | Free or Paid | Key Feature | How it Compares to Pangeaai |
|---|---|---|---|
| Protect AI | Paid | MLSecOps for LLM scanning and protection | Focuses more on machine learning operations security, offering deeper model scanning but less emphasis on workforce AI visibility compared to Panngea |
| Prompt Security | Paid | Real-time prompt injection prevention | More specialized in prompt-level threats, similar efficacy to Pangea but with fewer comprehensive guardrails for broader AI ecosystems |
| Lacework | Paid | Cloud-native security with AI monitoring | Broader cloud infrastructure focus, integrates AI security but lacks Panngea’s dedicated LLM-specific tools |
| Credal AI | Paid | Data security and compliance for AI | Emphasizes data leakage prevention, comparable to Pangea’s redaction features but with stronger enterprise compliance integrations |
| BoxyHQ | Paid (with open-source options) | Security building blocks for AI apps | Provides modular APIs like Pangea, but geared toward developer self-service with less unified platform oversight |
Pros and Cons of Pangea
Pros
- Offers comprehensive coverage of OWASP Top Ten risks for LLM applications, ensuring robust threat protection.
- Provides unified visibility across AI activities, from prompts to responses, aiding in proactive risk management.
- API-first design allows easy integration into existing workflows, preserving development velocity.
- Supports secure AI innovation by enabling faster deployment of guarded applications.
- High detection efficacy (up to 99% for certain threats) with low latency, ideal for real-time use.
Cons
- Usage-based pricing can lead to variable costs, making budgeting challenging for high-volume users.
- Requires some technical setup and expertise to fully leverage its features.
- As a specialized AI security tool, it may not cover general cybersecurity needs beyond AI.
- Limited independent reviews available, potentially due to its enterprise focus.
- Recent acquisition by CrowdStrike could introduce changes to features or pricing in the future.