From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
Are You Effectively Managing Non-Human Identities in AI-Driven Cloud Security? Where technology underpins every business function, the security of machine identities—known as Non-Human Identities ...
Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...
After nearly nine years at Sonos, including a stint as chief product officer, Bouvat-Merlin took the helm of Sauron just last ...
The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...
Rajani Priya Nippatla is a unique cloud computing, data security, and predictive analytics professional with 22+ years of IT consulting and business intelligence experience.
In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
As the digital landscape evolves, 2026 is shaping up to be a turning point for cybersecurity. AI, quantum computing and ...
How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.
In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...
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