Cencurity

Cencurity provides a comprehensive security gateway for LLM agents, designed to protect enterprise AI workflows from prompt leakage, unauthorized access, and sensitive data exposure. The platform acts as a centralized security layer that monitors, controls, and secures all interactions between AI coding assistants and language models without disrupting developer workflows.

• Centralized Security Dashboard offers a single pane of glass for monitoring every agent call, including requests, responses, latency, policy hits, redactions, and blocks in real time.

• Real-time Protection automatically detects and blocks secrets, PII, and risky output before it reaches users or models, stopping leakage at the edge.

• Real-time Log Analysis enables end-to-end tracing of every agent interaction with search, filter, and correlation capabilities to pinpoint risk in seconds.

• Policy-first Detection identifies policy violations quickly and prioritizes what matters most for security teams.

• Zero-click Guardrails reduce risk without slowing down delivery, providing automatic protection without manual intervention.

• LLM Proxy + Redaction proxies all LLM traffic and automatically redacts sensitive data before it leaves your environment.

• Webhook Notifications send verified alerts to Slack, Jira, and other tools for immediate incident response.

• Dry-run Rollout allows teams to measure impact before enforcement, then roll out policies safely.

• Personal API Keys issue unique API keys, sub-domain proxy URLs, and dashboards per user for secure, isolated access.

To get started, visit the GitHub repository and follow the README quickstart guide. The platform is compatible with leading AI providers and integrates with existing agents and IDE workflows in minutes without requiring code rewrites. One integration provides consistent behavior across models, tools, and environments.