Cencurity
Security gateway for LLM agents
Cencurity launched on February 18, 2026 with 83 votes, #457 of 16,628 launches that month and more than 95% of that year's launches.
What it does
Cencurity is a security gateway that proxies LLM/agent traffic and detects / masks / blocks sensitive data and risky code patterns in requests and responses, while recording everything as Audit Logs.
cencurity 랜딩페이지
No prompt leakage. No unauthorized access. Complete security gateway for your LLM agents. Compatible with leading AI providers—connect your existing agents and IDE workflows in minutes, without rewrites. One integration, consistent behavior across models, tools, and environments. One pane of glass for every agent call—requests, responses, latency, policy hits, redactions, and blocks in real time. Stop leakage at the edge: automatically detect and block secrets, PII, and risky output before it reaches users or models. Trace every agent interaction end-to-end. Search, filter, and correlate requests, responses, and policy decisions to pinpoint risk in seconds. Observe your stack from Edge to…from cencurity.com
Does a similar job
all alternatives →
TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
Context GatewayMar 2026 · github.com · ▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…




More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, February 2026
the whole month →



Lovon AI Therapy▲801Feel closer and have more fun with your partner every day!
AI · Feb 2026 · lovon.app

Hello my name is Ben Ward for the past 3 years I have been remastering the financial game Wall Street Raider created by Michael Jenkins originally on DOS in 1986. It has been a rough journey but I finally see the light at the end of the tunnel. I just recently redid the website and thought maybe the full story of how this project came to be would interest you all. Thank you for reading.
Work · Feb 2026 · wallstreetraider.com