Rockfort Shield: Prevent sensitive data leaks to LLMs
Your AI tool calls OpenAI, Anthropic, or other LLMs. Rockfort Shield sits in the middle, masking PII and sensitive data before it ever reaches the model, then restoring it safely on output. No code changes required.
Instead of building this yourself:
Rockfort Shield handles it:
How Rockfort Shield Works
Drop-in replacement for your LLM API calls. No code changes, no infrastructure headaches.
The Problem You're Solving
Your AI startup processes user data through LLMs. Enterprise buyers ask: "What if users paste SSNs, credit card numbers, or confidential documents into your AI tool?"
Building AI data security from scratch means months of engineering work: data classification, tokenization systems, secure storage, compliance documentation. Your team should focus on your core AI features, not data security infrastructure.
Without AI Data Security:
- • Enterprise deals stall at security reviews
- • Compliance teams flag data privacy risks
- • You're building security instead of features
Simple Integration
openai.chat.completions.create()rockfort.openai.chat.completions.create()Same API interface, automatic data protection
Why AI Startups Choose Rockfort Shield
Focus on building AI features, not data security infrastructure
Build vs. Buy Analysis
Building In-House:
- • 6-12 months of engineering time
- • $200K+ in development costs
- • Ongoing maintenance and updates
- • Security vulnerabilities to manage
- • Compliance documentation burden
With Rockfort Shield:
- • 1-day integration
- • Predictable monthly cost
- • Automatic updates and patches
- • Enterprise-grade security
- • Compliance reports included
Enterprise Sales Impact
Pass Security Reviews
"How do you handle PII in prompts?" becomes a strength, not a blocker.
Unlock Regulated Industries
Healthcare, finance, and legal buyers can approve your solution.
Faster Deal Cycles
Security questions become quick wins instead of months-long evaluations.
The Technical Solution
Enterprise-grade data protection that your engineering team doesn't have to build
Real-Time Data Detection
Automatically identifies PII, financial data, healthcare information, and custom sensitive patterns in prompts before they reach the LLM.
Secure Tokenization
Replaces sensitive data with secure tokens, sends clean prompts to LLMs, then detokenizes responses. Sensitive data never leaves your control.
API Proxy Architecture
Drop-in replacement for OpenAI, Anthropic, Cohere APIs. Same interface, same responses, automatic protection.
Enterprise Compliance
Automatic audit logs, data residency controls, and compliance reporting for GDPR, HIPAA, SOC 2 requirements.
Custom Policy Engine
Define custom data types, sensitivity levels, and handling rules specific to your industry and use case.
Developer-Friendly
SDKs for Python, Node.js, REST APIs. Comprehensive docs, testing tools, and staging environments.
Enterprise Compliance Standards
We help companies meet the most stringent enterprise security and compliance requirements.
SOC 2 Type II
Security, availability, and confidentiality controls
ISO 27001
Information security management systems
GDPR
European data protection regulation
HIPAA
Healthcare data protection standards
Your Data, Your Control
We never store your sensitive data permanently. All AI interactions are processed in real-time and only security metadata is retained for analysis and reporting.
Built for Scale
Our infrastructure scales automatically to handle your growing AI security needs.
Ready to Stop Building Data Security and Start Selling?
See how Rockfort Shield integrates with your existing LLM API calls in under 30 minutes.
Join 50+ AI startups using Rockfort Shield to close enterprise deals