Wrynx Blog

Insights and updates on AI safety, model security, and enterprise AI deployment best practices.

The AI Safety Problem Nobody Wants to Talk About
•Wrynx Team

The AI Safety Problem Nobody Wants to Talk About

AI video generators can produce harmful content as easily as legitimate video. Current safety tools wait until the video is fully rendered before checking it — wasting compute and discarding the richest signal available. We took a different approach: intercepting the model's own internal representation before a single pixel is decoded. Our lightweight probe achieves 97.3% F1 accuracy at just 5ms per clip — over 1,000× faster than pixel-space baselines — with a fraction of the parameters. Safety doesn't have to be expensive. Sometimes the answer is already inside the model.

AI Safety
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Safety Beyond the Interface: Detecting Harm via Latent LLM States
•Wrynx Team

Safety Beyond the Interface: Detecting Harm via Latent LLM States

We kept running into the same frustration with external guardrails: they're blind. They see tokens — what went in, what came out — but nothing in between. So we asked a simpler question: does the model already know when a prompt is harmful? We trained lightweight probes on LLaMA-3.1-8B's hidden states and found that it does — matching 7B guard models at a fraction of the cost.

AI Safety
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Foundation Models, Fortified for Trust with Wrynx
•Wrynx Team

Foundation Models, Fortified for Trust with Wrynx

Wrynx secures enterprise foundation models using Latent Space Probes — real-time model-layer defenses that detect unsafe concepts before they become harmful outputs. Built for CISOs and AI leaders, Wrynx enables secure, scalable generative AI deployment with runtime protection and executive-grade risk visibility.

AI Safety
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