--- title: "Stronger AI Safety Requires Peeking Inside the 'Black Box'" url: https://daily.dev/posts/stronger-ai-safety-requires-peeking-inside-the-black-box--wxepvpedn source_url: https://www.darkreading.com/cybersecurity-analytics/stronger-ai-safety-requires-peeking-inside-black-box type: article source: "Dark Reading" published: 2026-07-28T20:24:38.840Z updated: 2026-07-28T21:01:11.335Z tags: ["security", "llm", "ai-safety"] reading_time: 6 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Stronger AI Safety Requires Peeking Inside the 'Black Box' **[Dark Reading](https://daily.dev/sources/dr)** · 6 min read · 0 upvotes · 0 comments ## Summary Researchers from Ben-Gurion University are presenting GAVEL (Governance via Activation-based Verification and Extensible Logic) at Black Hat USA 2026, a model-agnostic framework for detecting unsafe LLM behavior by analyzing internal neural activations rather than just tokenized inputs and outputs. Instead of broad labels like 'cybercrime,' GAVEL uses granular 'cognitive elements' (CEs) that can be combined into detection rules — similar to Snort or YARA rulesets — to identify specific safety violations. This approach is language-independent, meaning prompt injection attempts using alternate languages still trigger the same neuron activations. The system is intended as an additional defensive layer alongside existing token-level moderation, not a replacement. The EU-funded project will release open tools and rules for community contribution on GitHub. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [An LLM that will help you build a nuclear weapon](https://daily.dev/posts/an-llm-that-will-help-you-build-a-nuclear-weapon-r1yxtwj5e) · InfoWorld · 0 upvotes · 0 comments - [19 large language models for safety or danger](https://daily.dev/posts/19-large-language-models-for-safety-or-danger-ki6rjj3pu) · InfoWorld · 1 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#llm](https://daily.dev/tags/llm), [#ai-safety](https://daily.dev/tags/ai-safety) [View this post on daily.dev](https://daily.dev/posts/stronger-ai-safety-requires-peeking-inside-the-black-box--wxepvpedn)