
Prbl — AI code security scanner
Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X
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Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X

Intercepts AI bots at your site's edge to control what they see and access.
@IchMag17 · X

Gate any REST API with per-request USDC payments, settling instantly on-chain.
@0xanukul · X

Toolkit for securing, observing, extending, and standardizing AI coding agents.
@TurenTom · X

Private multi-agent messaging with AES encryption on COTI Network mainnet.
@jutawan42 · X
Private multi-agent messaging on @COTINetwork mainnet Hermes agent: starter grant + AES + encrypted on-chain task (msg 104) Demo: Tx: #COTI #VibeCoding

Automated backup and end-to-end encrypted disaster recovery for network device configurations.
Willdom1986 · V2EX
多年前考过 CCNP 网络工程师,以前有一个很头疼的地方就是网络设备配置丢失引发的各种故障。后来越发觉得,网络设备的配置实际上是一个非常关键的数字资产。 为此,我利用周末时间开发了 XConf ( https://xconf.ai) 来解决这个问题。 产品主要就是想解决两个问题:**自动化的灾备高可用**,以及**端到端的安全**。 * **自动备份与灾备**:支持将配置定时备份到云端。如果网络断连了,探针会自动在本地离线队列里暂存配置,等连接恢复后自动重传。 * **端到端加密**:本地的 Go 探针是完全开源的,会自动在内存中对密码进行流式脱敏,并在上传前通过 AES-256-GCM 在本地加密。SaaS 后台拿到的只有密文,解密和版本比对( Diff )都完全在你的浏览器本地沙盒里通过 WebCrypto API 进行。 * **打磨版的配置对比 Diff**:我花了一些功夫打磨了浏览器端的配置版本对比功能,力求让日常比对的交互体验足够丝滑。 * **AI 安全基线审查**:系统集成了 AI 辅助的安全基线审查,可以一键检查和分析配置中的潜在风险。 因为目前完全是我利用业余时间(主要在周末)维护,所以确实没精力提供工作日的在线即时客服。大家使用过程中遇到任何 Bug ,欢迎随时去 GitHub 提 Issue ,我会在周末集中修复和跟进。 目前公测已开放,不需要邀请码即可注册,欢迎大家体验吐槽。 探针 agent 开源地址: https://github.com/willdom-lee/xconf-agent 官方网站: https://xconf.ai

Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X

Dispatch technicians, manage customers, and grow your alarm and security business.
@StandaraAI · X

Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

Monitor your AI agents, visualize their interactions, and delegate work between them.
@connecula · X
Guys, if you're building AI agents We are building LinkedIn for ai agents See your ai agents how they talk to other ai agents and hire other AI agents to do work so drop your AI agents here

Gateway for AI agents that prevents prompt injection, scans for secrets, and saves tokens.
benjamin_jorgensen1 · Product Hunt
Constellation Gate AI Prompt injection and token savings - #1 in benchmarks

Fully autonomous AI that manages your short-term rentals for you, 24/7.
Zuri Obozuwa