What the HuggingFace hack taught me about securing AI supply chains – and what your team should do differently tomorrow

HuggingFace hack highlights AI supply chain security risks. Learn what your team should do tomorrow to protect open-source AI models from malicious threats

Why multi-agent LLMs are wide open to injection attacks — and how I build real defenses around them

Understanding why multi-agent LLMs are vulnerable to injection attacks and how to build effective defenses to protect your AI systems from hidden threats.

Running AI on locked-down data isn’t nuts – it’s homomorphic encryption, and here’s how to make it work without losing your mind or your data privacy

Running AI on locked-down data isn’t nuts - homomorphic encryption enables secure, privacy-preserving computations without exposing sensitive info. Learn h

I Tried Training a 0.8B Jev Decision Model at Home – Here’s What Broke and What Worked

Training a 0.8B Jev decision model at home reveals key challenges and successes, from hardware hurdles to ethical considerations, offering a realistic DIY

Why running AI on your device—not the cloud—is the privacy move you should care about in 2026

Why running AI on your device instead of the cloud is the privacy move you need in 2026. Keep your data private, enjoy faster responses, and take control o

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