The problem with data poisoning, which targets the training data used to build Artificial Intelligence(AI)/Machine Learning(ML) models, is that it's unorthodox as far as cyberattacks go ...

Leveraging machine learning techniques is crucial for optimizing data applications and gaining actionable insights. As ...

Zscaler recently highlighted a growing cybersecurity threat: data poisoning attacks on AI models. Despite the rise of GenAI, ...

Almaden—which was formerly part of IBM Research before launching as a standalone company in 2022 under Catalyze Dallas ...

GitHub Costs Support Provides Automated, Comprehensive Cost Data Ingestion and Allocation NEW YORK–(BUSINESS WIRE)–Vantage, the leading cloud cost management platform that provides actionable insights ...

AdvantageGo, a provider of commercial insurance and reinsurance software and part of Coforge, has entered into a new partnership with Ping Data ...

Protect your digital ecosystem and explore cutting-edge virus scanning tech for cloud, on-prem and API-based workflows ...

Data poisoning is a type of cyberattack in which a bad actor intentionally compromises a training dataset used by an AI model by introducing malicious or corrupted data. The goal is to manipulate ...

Quence, outlines how the MGA is looking to deliver for its broker partners, as well as reveals her views on how the MGA ...