AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

Are Businesses Ready to Trust AI with Their Most Sensitive Data? The discussion around trusting AI with sensitive data is both inevitable and essential. With AI systems increasingly integrated into ...

After a contentious license change and the removal of administrator functionalities from the console, the company behind the ...

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...

Federal IT and acquisition experts say the FedRAMP update and artificial intelligence pilots moving to production were among the big story lines last year.

Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing ...

"Unlike Big Tech companies that collect and monetize user data, we treat privacy as an absolute right that cannot be ...

"Unlike Big Tech companies that collect and monetize user data, we treat privacy as an absolute right that cannot be compromised for profit or political pressure." ...

The global aviation cloud market is entering a period of rapid expansion, driven by the aviation industry’s shift toward real ...

Megacities in southern India are attracting enormous investments to help build artificial intelligence infrastructure to ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...