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Kexa.io – Open-Source IT Security and Compliance Verification

Hacker News

Kexa.io – Open-Source IT Security and Compliance Verification

Hi HN, We're building Kexa.io ( https://github.com/kexa-io/Kexa ), an open-source tool developed in France (incubated at Euratech Cyber Campus) to help teams automate the often tedious process of verifying IT security and compliance. Keeping track of configurations across diverse assets (servers, K8s, cloud resources) and ensuring they meet security baselines (like CIS benchmarks, etc.) manually is challenging and error-prone. Our goal with the open-source core is to provide a straightforward way to define checks, scan your assets, and get clear reports on your security posture. You can define your own rules or use common standards. We are now actively developing our SaaS offering, planned for a beta release around June 2025. The key feature will be an AI-powered security administration agent specifically designed for cloud environments (initially targeting AWS, GCP, Azure). Instead of just reporting issues, this agent will aim to provide proactive, actionable recommendations and potentially automate certain remediation tasks to simplify cloud security management and hardening. We'd love for the HN community to check out the open-source project on GitHub. Feedback on the concept or the current tool is highly welcome, and a star if you find it interesting helps others discover the project! If the upcoming AI-powered cloud security agent sounds interesting, we'd be particularly keen to hear your thoughts or if you might be interested in joining the beta (~June 2025). thank you !!

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86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, tasks, open · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, active · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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