Blogs

Internal Security Collapse: Rethinking AI Security Beyond Jailbreaks

Rethinking AI Standards: From Definition to Real-World Adoption

Safeguarding Requirements for OpenClaw: Building a Safety Layer for Multi-Agent Systems

OpenClaw represents a new generation of intelligent systems built from modular "skills," where each skill performs a specific task such as sending messages, accessing data, or interacting with external services. This modular design makes the system powerful and flexible, but it also introduces new safety challenges. Most existing skills are designed to accom

SafeClaw-R: Making Autonomous AI Agents Safer Before They Act

As LLM-powered personal assistants evolve from chatbots into autonomous agents that send emails, manage files, and execute code on your behalf, a critical question emerges: how do we stop them from doing something catastrophically wrong? A new paper by Haoyu Wang, Zibo Xiao, Yedi Zhang, Christopher M. Poskitt, and Jun Sun tackles this problem with SafeClaw-R

AI Risk Management 2026: A Boardroom Guide

Written by Wang Gan, AI Scientist A light, non-technical primer for leaders who need clarity, confidence, and an action plan. AI is no longer an “innovation side project.” In 2026, it sits inside customer journeys, hiring processes, cybersecurity workflows, finance operations, and the everyday tools employees use to work faster. When AI changes how decisions

State of AI Trust 2025: What Went Wrong, What Works, and What's Coming Next

Written by Wang Gan, AI Scientist A plain-English year-end review for anyone building or using AI — by AIDX Tech 2025 was the year AI trust stopped being a "nice-to-have" and became a production requirement. Real incidents — data breaches, cyberattacks, hiring bias lawsuits, and even AI-powered ransomware — showed that when AI systems aren't properly tested