
ThreatPort | External Attack Surface Management & CTI
监控外部攻击面,自动检测安全漏洞和暴露点。
@tugayakin34 · X
ThreatPort is an all-in-one Cyber Threat Intelligence & Attack Surface Management platform
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监控外部攻击面,自动检测安全漏洞和暴露点。
@tugayakin34 · X
ThreatPort is an all-in-one Cyber Threat Intelligence & Attack Surface Management platform


输入网站 URL 进行安全扫描,获得漏洞评分和修复建议。
@korisecurity · X
What we have now: Vibe coding -> Vibe testing -> Vibe marketing -> Vibe users -> Vibe subscriptions. You may do all but don't Vibe Secure! Scan for those open ports, missing DKIMs or CVEs. Use a professional tool

查看生产Agent追踪记录,识别并修复重复故障。
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

实时监控服务器运行时间、SSL证书和服务可用性。
@Robby_Seventeen · X

实时监控Meta像素、CAPI事件质量和Google转化追踪,故障时自动告警。
@jackson_saas · X

审计AI应用的安全漏洞,获取完整检测报告。
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode

Zuvio Atlas — 通过 AI 根因诊断监控服务器和按需响应。
@iamjackwiz · X

CanaryHub 实时监控应用和 API,故障时通过 Telegram 即时警报。
u/AgitatedLemon6836 · Reddit
I've got too many sites to monitor at this point I have been working on a bunch of different SAAS ideas at this point, some of them are just parked right now as I have decided to market others or have lost passion for the project. Its hard to check logs in a unified fashion for a bunch of different sites, I have backend's on Fly io, Heroku, Vercel, Hetzner and AWS (for varying reasons, some consulting, some work etc). just wanted like text message updates for things with a summary, like "3

检查你的 AI 应用的安全性、隐私和治理准备情况。
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https

使用 FRAI 扫描网站中的 AI 使用情况,并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

Set up uptime, API, SSL, domain, scheduler, and heartbeat monitoring from Claude or Codex, then investigate failures with evidence through Peeko MCP.
@ktat93 · X
A lot of things actually: 1. (qrcode generator - $120mrr) 2. (analytics soon + monitoring) 3. 4. (~10k visitors)