For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

By Ojo Emmanuel AdemolaThe year 2026 stands as a watershed moment for global cybersecurity leadership. Threat actors have crossed a decisive threshold: artificial intelligence is no longer an ...

Krti is an AI engineer, entrepreneur, and academic with deep expertise in LLM-powered AI agents, adversarial robustness, and risk mitigation for AI applications. Before joining Kamiwaza AI, she had ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

A new career path for Army officers that focuses on AI further cements the service’s shift toward cutting-edge technology and ...

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...