AI Security refers to the measures and practices designed to protect artificial intelligence systems, their data, and their operations from threats, vulnerabilities, and malicious attacks. This encompasses safeguarding AI algorithms, models, and the infrastructure that supports their deployment. Key aspects of AI Security include ensuring the integrity of the AI systems, protecting sensitive data from unauthorized access, preventing adversarial attacks that manipulate AI outcomes, and maintaining user privacy. Security considerations are crucial in areas like machine learning, natural language processing, and computer vision, where AI is increasingly integrated into critical applications across various industries. Effective AI Security strategies involve both technical solutions, such as secure programming practices, and organizational approaches, including user training and policy development. The overarching goal is to create trust in AI technologies and ensure they operate reliably and ethically within secure environments.
**Microsoft has taken decisive legal action against a group of ten international cybercriminals**, accusing them of stealing vital API keys for its Azure OpenAI offerings and subsequently launching a hacking-as-a-service…
In the modern world, privacy concerns have skyrocketed, especially regarding facial recognition technology. A breakthrough from Georgia Tech offers a promising solution to protect personal photos from unauthorized scans. Researchers…