Cencurity is a security gateway designed specifically for LLM agents, providing enterprise-grade security measures to protect AI interactions. It acts as a proxy for LLM traffic, ensuring that sensitive data and risky code patterns are managed securely throughout the request and response cycle.
The product offers a centralized security dashboard that provides a single view for every agent call, displaying requests, responses, latency, policy hits, redactions, and blocks in real time. It features real-time protection capabilities that automatically detect and block secrets, PII, and risky output before they reach users or models. Additionally, it includes real-time log analysis for tracing every agent interaction end-to-end, allowing users to search, filter, and correlate requests, responses, and policy decisions to pinpoint risk quickly.
Cencurity operates by proxying LLM traffic and automatically redacting sensitive data as part of its security enforcement. It uses a policy-first detection approach to identify violations rapidly and prioritize critical issues. The system supports zero-click guardrails to reduce risk without impeding development speed, and it provides audit-ready reporting to generate clear evidence for compliance and audits.
Benefits include the ability to issue personal API keys, sub-domain proxy URLs, and dashboards per user, ensuring that credentials are never shared or reused. It also offers webhook notifications to send verified alerts to platforms like Slack and Jira, and dry-run rollout functionality to measure impact before enforcement and enable safe deployment.
The product is built for developers who need safe, governed AI coding with speed, emphasizing compatibility with any LLM agent and any IDE without requiring rewrites.
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Cencurity is built for developers who need safe, governed AI coding with speed. It targets teams requiring enterprise-level security for LLM agents, emphasizing compatibility with existing workflows and tools without extensive modifications.