•Wrynx Team
Probing the Prefill: Can an LLM's Own Activations Tell You Its Code Is Vulnerable?
Companion writeup to our paper "Probing the Prefill: Detecting Code Vulnerabilities via Latent Activations" (arXiv:2608.16970)
AI Safety
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Insights and updates on AI safety, model security, and enterprise AI deployment best practices.
•Wrynx Team
Do All LLMs Know When They're Being Harmful?
*A reproducibility study of latent-space safety probes across model families*
AI Safety
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•Wrynx Team
The AI Safety Problem Nobody Wants to Talk About
Video generation models can be coaxed into producing explicit or harmful content with little effort. We trained lightweight probes on the internal latents of CogVideoX to detect unsafe content before a single pixel is decoded — matching 8B guard models at over 1,000× lower latency.
AI Safety
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•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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•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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•Wrynx Team
Introducing Wrynx Latent Space Probes: Real-Time Concept Detection Inside Large Language Models
Wrynx introduces latent space probes that analyze LLM activations in real time to detect harmful and sensitive concepts. In a case study on Llama 3.1, we show how internal probing matches guard-model accuracy while delivering 1000× lower latency and cost.
AI Safety
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