google security

With the widespread penetration of Large Language Models (LLM) and Generative Artificial Intelligence (GenAI) in enterprise applications, the traditional software security paradigm based on deterministic logic is struggling to cope with new stochastic threats such as model inversion, data poisoning, and cue word injection.Google's Secure AI Framework (SAIF), to be launched in 2023, proposes a systematic defense architecture that aims to combine traditional Cybersecurity best practices with the specificities of Artificial Intelligence (AI) systems. The Secure AI Framework (SAIF), launched by Google in 2023, proposes a systematic defense architecture that aims to combine the best practices of traditional cybersecurity with the specificities of AI systems. In this paper, we will analyze the six core pillars, ecological synergy mechanism and evolution path of SAIF from the perspective of architectural design, providing theoretical and practical references for the construction of enterprise-level AI security system.

In the context of evolving modern conflicts, cyberwarfare methodologies have become a powerful tool in the arsenal of states, hacktivists and cybercriminals. This paper provides a comprehensive analysis of the methodologies employed in the field of cyber warfare. By delving into techniques, strategies and tactics, we aim to reveal the multifaceted nature of cyber warfare.

The information-stealing malware is actively utilizing an unspecified Google OAuth endpoint called MultiLogin to hijack user sessions and allow users to continue accessing Google services even after resetting their passwords.