A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...

Code-to-Runtime: Using Apiiro’s proprietary "Applicative Fingerprinting" technology, Apiiro AI-SAST automatically maps code resources with their specific build and production artifacts to distinguish ...

Software extends far beyond desktops. Embedded systems operate inside vehicles, medical devices, industrial machines, and ...

The most dangerous misconception in this automotive software race is thinking that adding more code simply makes a car “software-defined.” Sonatus’ leadership insists that the real transformation ...

There’s always a worry that “agentic AI” means people step aside. The reality is sort of the opposite. Agents take on the ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.

Symbolor AI seeks to translate advanced analytical methods into a more approachable digital experience. The platform brings ...

Although cryptographic standards are evolving in response to quantum threats, the industry recognises that software cannot ...

How Cloud-Native Engineering and AI Are Transforming Modern Software Security - Rajeev, your journey spans full-stack ...