Alternatives
Products that do what DENTIGRID does
Active Defense & Deception for Linux Servers
- 1WB
Jul 2026 · honeypotlive.cc
- 2AP
2020 · github.com
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- 4TL
Hi HN, I spent the past year building this in my spare time because I got tired of enterprise security tools that cost $50K/year and don't understand Linux. TheProtector is a comprehensive security monitoring tool that actually runs on the systems we use (Linux) instead of being a Windows-first afterthought. Built it entirely on a $500 laptop because I believe good security shouldn't require unlimited budgets. Features: - Real-time process, network, and file monitoring - YARA malware detection with custom rules - eBPF kernel monitoring (when available) - Behavioral baseline…
2025 · github.com
- 5OS
Hello everyone I wanted to share a project I've been working on that I think you'll find really interesting. It's called Beelzebub, an open-source honeypot framework that uses LLMs to create incredibly realistic and dynamic deception environments. By integrating LLMs, it can mimic entire operating systems and interact with attackers in a super convincing way. Imagine an SSH honeypot where the LLM provides plausible responses to commands, even though nothing is actually executed on a real system. The goal is to keep attackers engaged for as long as possible, diverting them from your real…
2025
- 6DI
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 /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/proprietary.…
Nov 2025 · github.com
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- 9FI
2023 · github.com
- 10S2
2014 · sealion.com
- 11
Linux hardening & IPS for VPS — without the enterprise bill
Aug 2026 · lthcybersecurity.com
- 12IG
Hey HN, For years, my local development setup has been a fragile mess of tools that never quite played nicely together. On my mac, it was a constant battle with Homebrew services starting (or not starting) on boot, conflicting PHP and Node versions managed by `asdf` or `nvm`, and a collection of `docker-compose.yml` files that I'd copy-paste and tweak for every single project. The cognitive load was just too high. Setting up SSL was another chore involving `mkcert`. Sharing a quick demo with a colleague meant firing up ngrok. And if I wanted to run two projects that needed different versions…
Oct 2025 · servbay.com
- 13BO
We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
Sep 2025
- 14IX
Hello HN! Deploying the next-generation of security telemetry technologies to production is hard, so I’m building Impulse, a fully automated XDR platform that leverages tools like Osquery and eBPF to provide real-time threat detection & integrity monitoring for servers and workstations. It detects malware from behavioural patterns rather than signatures and enables deeper visibility than legacy tools. Impulse agents can be deployed on any device or VM running Linux such as cloud VMs in VPC networks, VPS servers or personal workstations and IoTs. In terms architecture, it is organised around…
2024 · github.com
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- 16UB
2014 · bitcoinvigil.com
- 17HR
I recently came across an amazing post that really emphasizes the dangers associated with installing npm packages. It seems that every week a new supply chain attack occurs. In my opinion, the existing solutions for this don't quite cut it so I decided to create a library which provides runtime protection for Node. It currently protects against: - Unauthorized file system access - Unauthorized network access - Unauthorized command execution - (by way of exec/spawn) I just released the first beta version of the library and I'd love to hear what you guys think. Note: Protection is still…
2022 · github.com
- 18OS
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
Oct 2025 · archestra.ai
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Lightweight LAN decoys with cloud-based alerts.
Jun 2026 · honeypot.app.dataforgecanada.com
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- 23IB
Linux Foundation survey says 70-90% of modern software constitute OSS code. Yet we are stuck with tools that scan only for vulnerabilities in 3rd party libraries and that too with high degree of false positives. I built `vet` for policy and data driven analysis of 3rd party packages that goes beyond only vulnerability and allows codifying organisational policies related to OSS consumption. https://github.com/safedep/vet Looking forward to feedback and suggestions from HN :)
2023 · github.com
- 24
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