AI security is evolving in 2026 as autonomous systems push companies toward continuous, machine-speed protection models.

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

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

Study to look at ‘potential gaps or risks’ stemming from agencies’ use of new and emerging tools, head of review body says ...

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...

Working from home is great. Working from home and earning around $50 an hour is the dream, especially when you’re staring at ...

Shahar Azulay, CEO and cofounder of groundcover is a serial R&D leader. Shahar brings experience in the world of cybersecurity and machine learning having worked as a leader in companies such as Apple ...

AI, cloud, and the increasingly interconnected nature of business and technology present CISOs with a range of risks and ...

As India’s workforce moves beyond traditional degrees, these demonstrable skills outline what will matter in 2026 and how ...

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

The United States stands as the global hub of technological innovation, hosting some of the most influential Information ...