
Protecto.ai
Presidio
Amazon Macie
AIVory Guard
No Prompt Injections
AI firewall that detects prompt injection and redacts PII with compliance context

Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | promptlock.io |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
PromptLock is an AI security API that protects applications from prompt injection attacks and sensitive data leaks before they reach your LLM. What it does: Detects prompt injection attempts (jailbreaks, instruction overrides, role manipulation) Identifies and redacts PII/PHI (names, SSNs, credit...
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As answered by people managing Codegres.org and PromptLock.io.
PromptLock.io's answer:
PromptLock is the only AI firewall that understands compliance context. It doesn't just detect sensitive data—it automatically applies the right redaction policy (HIPAA, GDPR, or PCI) based on the type of data detected, all in a single API call. No manual rule configuration required.
PromptLock.io's answer:
PromptLock is the only AI firewall that understands compliance context. It doesn't just detect sensitive data—it automatically applies the right redaction policy (HIPAA, GDPR, or PCI) based on the type of data detected, all in a single API call. No manual rule configuration required.
PromptLock.io's answer:
PromptLock is built for startups and SMEs, not enterprises. You get production-ready security in minutes with straightforward pricing ($49-199/month), a generous free tier, and no-code integrations for n8n, Flowise, Bubble, and Retool. No sales calls, no enterprise contracts, no DevOps required.
PromptLock.io's answer:
PromptLock was born from seeing the same problem repeatedly: AI apps leaking sensitive data to LLMs or getting jailbroken by prompt injection attacks. Existing solutions were either enterprise-only with lengthy sales cycles, or open-source tools requiring significant DevOps overhead. We built PromptLock to give smaller teams the same protection with a simple API they can integrate in an afternoon.
PromptLock.io's answer:
PromptLock uses a fine-tuned DeBERTa model for prompt injection detection, spaCy-based NER for PII/PHI identification, and custom compliance logic for context-aware redaction. The API runs on a Python backend with Redis for rate limiting and GPU-accelerated inference for fast response times.
PromptLock.io's answer:
Share your experience with using Codegres.org and PromptLock.io. For example, how are they different and which one is better?