An open-source iOS app that visualises exactly what data native apps are accessing in real time, raising awareness about app privacy practices.

This article warns that the AI industry is repeating historical security failures by normalizing over-reliance on LLM outputs...

A lightweight framework for building secure mini applications embedded directly in chat platforms. No internet access, no tracking, no external servers—just encrypted mini apps for messaging.

How LLMs are enabling a new generation of sophisticated scams at scale. Explores the gap between cheap mass-market schemes and expensive targeted attacks, and how AI makes personalized social engineering affordable and automatable.

A Lithuanian startup has launched an open-source drone detection network in collaboration with activists to identify Shahed-type...

Research benchmark comparing open-weight and frontier AI models on vulnerability detection. GLM 5.2 outperformed Claude Code by 7 points on IDOR detection at 1/6 the cost, demonstrating that open-weight models are becoming viable alternatives for security applications.

This submission analyzes Bill C-22, the Lawful Access Act, which would enact broad surveillance obligations and reforms in Canada. Issues include: the bill’s sweeping scope, significant constitutional and human rights risks, transparency and accountability deficits, and dangers to encryption and Canada’s cybersecurity. We recommend entirely withdrawing several elements of the bill and suggest amendments to mitigate harms.