Cencurity is a security gateway designed specifically for LLM agents that proxies traffic and detects, masks, and blocks sensitive data and risky code patterns in both requests and responses. The platform serves as a comprehensive security layer for AI applications, ensuring protection against data leakage and unauthorized access while maintaining full audit capabilities.

The system offers real-time protection that stops leakage at the edge by automatically detecting and blocking secrets, PII, and risky output before it reaches users or models. It includes a centralized security dashboard providing one pane of glass for every agent call with visibility into requests, responses, latency, policy hits, redactions, and blocks in real time. The platform also features real-time log analysis that traces every agent interaction end-to-end, allowing users to search, filter, and correlate requests, responses, and policy decisions.

Cencurity operates as a policy-first detection system that identifies policy violations quickly and prioritizes what matters most for security. It functions as an LLM proxy with redaction capabilities, automatically handling LLM traffic while securing sensitive data. The platform implements zero-click guardrails designed to reduce risk without slowing down delivery workflows.

The benefits include audit-ready reporting that generates clear evidence for compliance and audits, along with webhook notifications that send only verified alerts to platforms like Slack and Jira. The system supports dry-run rollout functionality that allows teams to measure impact before enforcement and roll out security measures safely. It provides personal API keys and sub-domain proxy URLs per user, ensuring credentials are never shared or reused.

Cencurity is built for developers who need safe, governed AI coding with speed and is compatible with leading AI providers. The platform connects to existing agents and IDE workflows in minutes without requiring rewrites, providing consistent behavior across models, tools, and environments.