Cencurity

Description

Cencurity is a security gateway for LLM agents that helps you secure your AI with enterprise precision, aiming to prevent prompt leakage and unauthorized access. It is compatible with leading AI providers, so you can connect existing agents and IDE workflows in minutes without rewrites, using one integration for consistent behavior across models, tools, and environments.

The platform provides a centralized security dashboard, a single pane of glass showing every agent call, including requests, responses, latency, policy hits, redactions, and blocks in real time. Real-time protection stops leakage at the edge by automatically detecting and blocking secrets, PII, and risky output before it reaches users or models, and real-time log analysis lets you search, filter, and correlate requests, responses, and policy decisions to pinpoint risk quickly.

Cencurity's benefits include policy-first detection to prioritize what matters, zero-click guardrails that reduce risk without slowing delivery, audit-ready reporting for compliance, an LLM proxy with automatic redaction of sensitive data, webhook notifications that send verified alerts to tools like Slack and Jira, and dry-run rollout to measure impact before enforcement. Setup runs in VS Code: install the extension, enable protection, select an LLM provider (OpenAI, Anthropic, Gemini, OpenRouter, or any OpenAI-compatible LLM), and traffic is routed through a local gateway that scans responses against local security policies. Your API key stays inside the IDE and only policy violations are logged. Cencurity offers a free plan to get started.

Cencurity's Core Features

• Security gateway that proxies LLM agent traffic

• Real-time detection and blocking of secrets and PII

• LLM proxy with automatic redaction of sensitive data

• Centralized dashboard of requests, responses, redactions, and blocks

• Real-time log analysis with search, filter, and correlation

• Policy-first detection and zero-click guardrails

• Audit-ready reporting and webhook notifications to Slack and Jira

• Dry-run rollout to measure impact before enforcement

How to use Cencurity?

1. 1

   Install the extension: Add the Cencurity extension from the VS Code Marketplace.

2. 2

   Enable protection: Run Cencurity: Enable Protection from the Command Palette.

3. 3

   Choose a provider: Select your LLM provider, enter the provider URL and API key, and pick a model.

4. 4

   Open the Security Center: Run Cencurity: Open Security Center to view the dashboard inside VS Code.

5. 5

   Monitor and enforce: Traffic routes through the local gateway, scanning responses and logging only policy violations.

Cencurity's Use Cases

• Prevent data leakage
• LLM proxy and redaction
• Security monitoring
• Compliance reporting
• Safe policy rollout

FAQ from Cencurity

• What is Cencurity?

  Cencurity is a security gateway for LLM agents that prevents prompt leakage and unauthorized access by proxying AI traffic, detecting and blocking secrets and PII, redacting sensitive data, and enforcing policies.

• How does real-time protection work?

  It stops leakage at the edge by automatically detecting and blocking secrets, PII, and risky output before it reaches users or models.

• Which providers does it support?

  Supported providers include OpenAI, Anthropic, Gemini, OpenRouter, and any OpenAI-compatible LLM.

• How do I set it up?

  In VS Code, install the Cencurity extension, run Enable Protection, select your LLM provider and enter your API key, and open the Security Center. Setup takes under two minutes.

• Is my API key or data sent to Cencurity's servers?

  Your API key stays inside the IDE and is never sent to an external server. Requests route through a local security gateway, responses are scanned against local policies, and only policy violations are logged while normal traffic is not stored.

• Can I test policies before enforcing them?

  Yes. A dry-run rollout lets you measure the impact of your policies before enforcement, then roll them out safely.