Alternatives
Products that do what AIRM - By Sabiki Security does
Agentic Identity Risk Monitor
- 1
- 2AL
Hey HN, we're Lennert and Rauf. We’re building Airweave (https://github.com/airweave-ai/airweave), an open-source tool that lets agents search and retrieve data from any app or database. Here’s a general intro: https://www.youtube.com/watch?v=EFI-7SYGQ48, and here’s a longer one that shows more real-world use cases, examples of how Airweave is used by Cursor (0:33) and Claude desktop (2:04), etc.: https://youtu.be/p2dl-39HwQo A couple of months ago we were building agents that interacted with different apps and were frustrated when they…
2025 · github.com
- 3

- 4

- 5

- 6

- 7AA
I’m Michel, co-founder and CEO of Airbyte (https://airbyte.com/). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents (https://docs.airbyte.com/ai-agents/), a unified data layer for agents to discover information and take action across operational systems. Here’s a quick walkthrough: https://www.youtube.com/watch?v=ZosDytyf1fg As agents move into real workflows, they need access to more tools (e.g. Slack, Salesforce, Linear). That means a ton of API plumbing: authentication, pagination, filters,…
May 2026
- 8
- 9

- 10

- 11

- 12

- 13

- 14

- 15SI
Hey HN, TL;DR: We’ve launched a free version of our Shadow IT scanner to identify which SaaS apps are used in your company, who uses them, and if they have high-risk OAuth scopes. Philip and I went through YC with AccessOwl in 2022. We started the company because, in our previous roles, we struggled to track all the SaaS apps, users, and granted OAuth scopes. The Shadow IT scanner started as a small feature within AccessOwl, which manages SaaS vendors and user accounts centrally. But a standalone scanner would have made our lives so much easier in our previous roles. So, we thought, why not…
2024 · accessowl.io
- 16

Hey HN, I’m Abhishek. I'm building Opslane, an open-source agent that identifies user-facing issues and investigates them. It only creates a PR if it can verify the fix. Demo: https://youtu.be/ccuOTYQMeYg Docs: https://docs.opslane.com At my last job at Robinhood, we used to do a quarterly bug bash. We would go through our Sentry backlog and try to fix as many of them as possible. We only fixed bugs we knew were reported by customers. We had hundreds of bugs, and Sentry’s default priority levels made no sense. After the bug bash, we would declare bankruptcy - select…
10d ago · github.com
- 17IB
over this weekend myself and two of my friends took part in a hackathon and built this side-project. we have been diving into computer-use recently and developed an sdk to make it easy to implement for devs like us. one feature we were missing though, was the agent being able to log into services. anthropic understandably blocks this capability with their guardrails, and you wouldn't want your credentials to end up in any model context anyways. so we added a keychain service to the vm that the agent is using. it was built using the pass cli (https://www.passwordstore.org/).…
2025 · github.com
- 18IB
Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
Jan 2026 · github.com
- 19

Auditing, security monitoring and analysis of Microsoft 365
12d ago · 365.kualum.app
- 20

- 21

- 22

- 23IS
Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…
2025
- 24OS
Hi everyone, Airstrip is an open-source platform for users to build internal AI agents. We've made some major changes since our last release. - Improved chat experience with a memory layer: For this, we are using Mem0. This can be configured when creating the agent. - Notion-style editing to configure agent: A sleeker UI and a familiar editing experience for our users. - Encrypted API keys and only decrypted at the point of usage. We are using Infisical to store our encryption keys, ensuring greater security. - Add knowledge bases to chat assistants. We are using Unstructured to handle the…
2024 · airstrip.pro
Ranked by how close each launch is in meaning, then by votes. Refine with a description →