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Vladleft a comment
We’ve seen early feedback that teams are more concerned about auditability, not just model performance. Curious how teams currently monitor AI API usage internally?
Vladstarted a discussion
Building the Team version of Cencurity
Quick update after launch: We’re now building the Team version of Cencurity. What we noticed from the comments and DMs is that teams aren’t just worried about model performance — they’re worried about auditability and control. The next step is central policy enforcement + per-tenant visibility + real-time threat scoring. Still early. Iterating fast. Appreciate all the feedback so far.
Vladleft a comment
Small technical note for builders interested: Cencurity runs as a proxy in front of OpenAI-compatible APIs and inspects both inbound tool calls and outbound responses in real-time. It can block dangerous code patterns before execution and keeps full audit logs for every policy match. Everything runs locally via Docker, so teams can self-host without sending data to external services. Happy to...

CencuritySecurity gateway for LLM agents
Vladleft a comment
Hi Product Hunt! I’m one of the makers of Cencurity.\n\nAs we started shipping LLM agents, we realized traditional app security doesn’t cover agent behaviors: prompt injection, unsafe tool calls, data leakage, and “invisible” actions with no auditability.\n\nCencurity helps teams add guardrails + audit trails for agent actions in production.\n\nWould love feedback—what’s the scariest failure...

CencuritySecurity gateway for LLM agents
