Overview
Cencurity is a security gateway purpose‑built for Large Language Models (LLMs), giving engineering and security teams precise control over what data reaches AI systems and what leaves them. Sitting between your applications and LLM providers, Cencurity automatically detects sensitive information, masks or redacts it in real time, and flags risky prompts or generated code before it can reach production. This helps you unlock AI capabilities without exposing confidential data, secrets, or business‑critical logic.
With developer‑friendly APIs, SDKs, and straightforward deployment options, Cencurity integrates seamlessly into existing backends, AI agents, and tooling. It analyzes both prompts and responses, scanning for PII, credentials, source code, and compliance‑relevant content while maintaining detailed logs for auditing and incident response. Policy‑driven controls let you define what is allowed, masked, or blocked, so you can enforce consistent data governance across all LLM use cases.
Designed for modern AI stacks, Cencurity supports multi‑model workflows, streaming interactions, and complex agent architectures. Whether you are building internal copilots, customer‑facing chatbots, or automated code assistants, Cencurity helps you reduce data leakage risk, maintain compliance, and gain visibility into how LLMs interact with your systems—while keeping performance high and friction for developers low.
Pricing
Free
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Use Cases
- Protect customer PII in support chatbots by detecting and masking names, emails, phone numbers, and IDs before prompts are sent to external LLM providers.
- Secure internal developer copilots by scanning generated code for secrets, tokens, and unsafe patterns before it is committed or deployed.
- Enforce data governance for AI agents that access multiple internal systems, ensuring confidential records and logs are never exposed in model interactions.
- Monitor and audit all LLM traffic across teams, creating a centralized log for security reviews, incident response, and compliance reporting.
- Safely experiment with new LLM providers or models while maintaining consistent security policies and controls at the gateway layer.
Features
Real-time sensitive data detection
Automatic masking and redaction
Risky code and prompt filtering
Policy-based security controls
LLM-agnostic gateway architecture
Developer-friendly APIs and SDKs
Comprehensive security logging
Easy integration with AI agents
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FAQ
What is Cencurity and how does it work?
Cencurity is a security gateway for LLMs that sits between your applications and AI providers. It inspects prompts and responses in real time, detects sensitive data or risky code, and then masks, redacts, or blocks content based on security policies you configure.
Does Cencurity store or use my data to train models?
Cencurity is designed as a security and logging layer, not a training platform. It does not use your data to train models. You retain full control over log retention and data handling according to your compliance requirements.
How difficult is it to integrate Cencurity with existing LLM applications?
Integration is straightforward: you route LLM traffic through Cencurity instead of directly to the model provider, using simple configuration changes or provided SDKs. Most teams can start protecting existing chatbots, agents, and tools with minimal code changes.
Is Cencurity really free to use?
Yes, Cencurity is available for free. You can start using the gateway, policies, and logging features without upfront cost, making it easy to add security to your AI stack from day one.
Which LLMs and infrastructures does Cencurity support?
Cencurity is LLM-agnostic and works with major providers and self-hosted models by acting as a network and API gateway. As long as your application can route requests through Cencurity, you can apply consistent security controls across different models and environments.