I Told You So: Why Big Tech Keeps Losing LLMs to Basic Social Engineering
By Ecaterina Sevciuc | Creator of AURA (AI User Risk Assessment) Two months ago, I launched AURA — an open-source framework designed to model psycho…
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Ollama Model Loading RCE: Three Years of the Same Bug Class, One Self-Hosted LLM Runtime
TL;DR Ollama has shipped three remote-code-execution vulnerabilities in three years, all at the model-loading boundary. CVE-2024-37032 ("Probllama",…
How to Secure Local LLM Model Files: A Zero Trust Guide
When you download a model file for your homelab, you aren't just grabbing data; you are importing an untrusted dependency with execution privileges.…
How to Build a Secure Homelab for LLM Inference
We’ve treated local AI deployments as experimental toys for too long. The moment a homelab becomes a dependency for work, the security posture must…
Do You Have a Homelab? Secure Your Local LLM Artifacts
We used to build homelabs around Linux servers, Docker containers, and NAS drives. It was about uptime, RAID levels, and monitoring CPU temps. Now,…
AppView 1.0.0 Released: Instrument and Secure Your LLM Deployments
We just released AppView 1.0.0. It is a CLI tool designed to bridge the gap between raw model weights and the operational reality of deploying them.…
Kexa.io: Open-Source IT Security for Local AI Governance
Kexa.io – Open-Source IT Security and Compliance Verification: The New Standard for Local AI Governance Enterprise adoption of Large Language Models…
Arctype: Cross-Platform Database GUI for LLM Artifacts
Arctype: Cross-Platform Database GUI for Developers and Teams OpenAI’s recent push into content credentials and SynthID marks a clear pivot. The ind…
Sqreen: Securing Web Apps via Model Artifact Auditing
Sqreen (YC W18): Securing Web Apps by Auditing Model Artifacts, Not Just Code Sqreen positions itself as a defense layer for modern web applications…