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Products that do what Jibril – Runtime security monitoring and enforcement for modern infra does

Jibril is a runtime security monitoring and enforcement tool. It introduces a new architecture designed to overcome limitations of previous-generation runtime security tooling and EDRs, which were primarily built for traditional endpoints and long-running containerized workloads. Jibril introduces an event-less architecture leveraging eBPF to maintain lightweight state maps directly within the kernel. Instead of buffering events, it queries kernel state directly, enabling real-time detection and enforcement with minimal overhead. This approach is especially effective for protecting ephemeral…

  1. 1LT

    hey guys. the other day i was migrating hosting providers and i just needed something not too heavy and convenient to spin up my backups for awhile and realised there is almost nothing out there. kimchi hasn't been updated for years and cockpit is heavy. so here's something i came up with in a couple hours because of a sudden urge, nothing fancy just basic creation with cloud init, lifecycle management and image/storage, but it's modern-ish and it compiles to a 8.4mb binary inclusive of the embedded web UI, CLI and API, and only dep is libvirt.

    Sep 2025 · github.com

  2. 2
    Trench281

    Open source analytics infrastructure

    2024

  3. 3LE

    I kept missing incidents until it was too late. By the time my monitoring alerted me, servers/nodes were already unrecoverable. So I built Linnix. It watches your Linux systems at the kernel level using eBPF and tries to catch problems before they cascade into outages. The idea is simple: instead of alerting you after your server runs out of memory, it notices when memory allocation patterns look weird and tells you "hey, this looks bad." It uses a local LLM to spot patterns. Not trying to build AGI here - just pattern matching on process behavior. Turns out LLMs are actually pretty…

    Nov 2025 · github.com

  4. 4
    Jitsu244

    Open-source real-time data collection platform

    2021

  5. 5PI
  6. 6SO

    ServiceRadar is an open-source platform for distributed, secure network management and observability, scaling to 100k+ devices. Born from frustration with complex traditional NMS tools like Zabbix, it bridges legacy (SNMP/syslog) and modern (gNMI, OTLP) protocols for cloud-native environments. We built ServiceRadar to simplify monitoring hybrid telecom networks, evolving it into a Kubernetes-native solution with Helm and Docker support. It uses mTLS with SPIFFE/SPIRE, NATS JetStream for event streaming (90M+ EPS), and SRQL for intuitive queries. Integrated with OpenTelemetry,…

    Oct 2025 · github.com

  7. 7NL

    To power the firewalling for our agents so that they couldn't contact arbitrary services, I build netfence. It's like Envoy but for eBPF filters. It allows you to define different DNS-based rules that are resolved in a local daemon to IPs, then pushed to the eBPF filter to allow traffic. By doing it this way, we can still allow DNS-defined rules, but prevent contacting random IPs. There's also no network performance penalty, since it's just DNS lookups and eBPF filters referencing memory. It also means you don't have to tamper with the base image, which the agent could potentially manipulate…

    Jan 2026 · github.com

  8. 8
    ContainIQ123

    Kubernetes native monitoring instantly

    2021

  9. 9

    A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, out of one static binary - getkern/kern

    13d ago · github.com

  10. 10

    Trace LLM requests + costs with OpenTelemetry monitoring

    Oct 2025

  11. 11KD

    I've built this to make it easy to host your own infra for lightweight VMs at large scale. Intended for exec of AI-generated code, for CICD runners, or for off-chain AI DApps. Mainly to avoid Docker-in-Docker dangers and mess. Super easy to use with CLI / Python SDK, friendly to AI engs who usually don't like to mess with VM orchestration and networking too much. Defense-in-depth philosophy. Would love to get feedback (and contributors: clear & exciting roadmap!), thx

    Oct 2025 · github.com

  12. 12SH
  13. 13CR

    Hi HN! I'm Mo, a platform engineer at Deltaflare working on critical infrastructure protection. I built Cerberus because traditional packet capture tools (tcpdump, Wireshark) have too much overhead for production CNI environments. eBPF lets us filter and classify packets at the kernel level with near-zero performance impact. Some interesting challenges: - eBPF verifier is strict - every memory access needs bounds checking - Limited to 32 bytes of L7 payload (tradeoff between inspection depth and overhead) - TC vs XDP decision (chose TC for compatibility) Looking for contributors, especially…

    Dec 2025 · github.com

  14. 14GO

    Hey HN! We’re Jai and Sanket, co-founders of DeepSource (YC W20). We're open-sourcing Globstar (https://github.com/DeepSourceCorp/globstar), a static analysis toolkit that lets you easily write and run custom code quality and security checkers in YAML [1] or Go [2]. After 5+ years of building AST-based static analyzers that process millions of lines of code daily at DeepSource, we kept hearing a common request from customers: "How do we write custom checks specific to our codebase?" AppSec and DevOps teams have a lot of learned anti-patterns and security rules they want…

    2025

  15. 15OT

    hey guys, wanted to show one of my side projects i just made public. the idea is basically another osint tool for pentesters and bug bounty hunters. it watches certificate transparency logs and checks newly-seen domains for exposed stuff like .env files, open .git dirs, config files, db dumps and so on, and puts whatever it finds into a searchable db. you just search a domain (or part of one) and see what's exposed. it's read-only and free. one thing i've been thinking about adding is a way to register for certain keywords and get notified when something new shows up for that search. would…

    Jul 2026 · search.cerast-intelligence.com

  16. 16OA

    A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model. Its main use is running reliable, long-running workflows that can automatically resume after failures. Looking for feedback on the approach and potential use cases!

    2025 · obeli.sk

  17. 17AE

    Nyxelf simplifies static and dynamic analysis of ELF binaries, enabling you to extract valuable insights effortlessly. And can be used for vulnerability assessments, unpacking, syscall tracing, and memory analysis.

    2025 · github.com

  18. 18A1

    Jan 2026 · github.com

  19. 19DI

    I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required. Key points: - Polls &#x2F;proc for new processes (works on any Linux kernel 2.6+) - Random Forest model trained on EMBER 2018 dataset (2.3M samples) - Heuristic rules for crypto miners, ransomware, rootkits - ~20MB RAM, <1% CPU, sub-millisecond scan latency - Pure C, zero runtime dependencies - Model embedded directly in binary (50KB) Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy&#x2F;proprietary.…

    Nov 2025 · github.com

  20. 20DT

    We are super excited to release the community edition of our product to help DevSecOps teams -- Deepfence ThreatMapper ! Deepfence is a unified platform to protect kubernetes, virtual machines and serverless workloads at runtime. We have packaged a subset of important features of the platform in this edition. Essentially, you can visualize kubernetes clusters, virtual machines and container images in real time and scan them for vulnerabilities. You can also scan an unlimited number of container images by integrating with popular registries. This community edition comes with batteries…

    2020

  21. 21AO

    This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots. *Requirements* The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators: 1. JA5 client fingerprinting (https:&#x2F;&#x2F;tempesta-tech.com&#x2F;knowledge-base&#x2F;Traffic-Filtering-b...). This is a HTTP and TLS layers…

    Oct 2025 · github.com

  22. 22

    Open-source AI SRE from log anomaly to Jira ticket in 90s

    Mar 2026

  23. 23LE

    I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https:&#x2F;&#x2F;github.com&#x2F;melonattacker&#x2F;logira

    Mar 2026 · github.com

  24. 24TS

    Hi HN! We’re Ethan and Danny, the authors of Tangent (https:&#x2F;&#x2F;github.com&#x2F;telophasehq&#x2F;tangent), a Rust-based log pipeline where all normalization, enrichment, and detection logic runs as WASM plugins. We kept seeing the same problems in the OCSF (https:&#x2F;&#x2F;ocsf.io) community: 1) Schemas change constantly. Large companies have whole teams dedicated to keeping vendor→OCSF mappings up to date. 2) There’s no shared library of mappings, so everyone recreates the same work. 3) Writing mappers is tedious, repetitive work. 4) Most pipelines use proprietary DSLs that are…

    Nov 2025 · github.com

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