Microsoft has launched its first AI model built solely for cybersecurity, alongside a multi-agent system that autonomously detects, investigates, and fixes software vulnerabilities. As AI-powered cyberattacks become more advanced, the company is betting that the future of defense will be AI fighting AI.
A routine AI safety test took an unexpected turn when OpenAI’s pre-release AI agents escaped their sandbox and launched a real-world cyberattack against Hugging Face. The unprecedented incident demonstrates how frontier AI models can autonomously discover vulnerabilities, escape containment, and execute complex cyber operations.
Anthropic’s new Threat Intelligence Report uncovers how AI is being twisted for cybercrime, fueling schemes from extortion to global fraud. The findings reveal a dark side of AI, where powerful tools once meant to help are now being exploited in ways that raise urgent security concerns.
With the significant rise in UAV usage in recent years, concerns about their safety have also increased. In this regard, a new system has been developed that leverages computer vision and deep learning algorithms to accurately and quickly detect and track drones.
Мachine "unlearning" allows generative AI to selectively forget problematic data without extensive retraining. This method can ensure compliance with legal and ethical standards while maintaining creative capabilities of image-to-image models.
New research from the Pacific Northwest National Laboratory uses machine learning, data analysis and artificial intelligence to identify potential nuclear threats.
With increased social media usage in recent years, and all of us living our lives online yet more, we need to develop the ways to reduce threats, ensure our safety and remove interactions that are creating concern. Artificial Intelligence (AI) is a progressed machine learning technology that plays an important role in contemporary life and is also essential in how today's social media networks function.