AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Ranjith Rajasekharan shares his vision for the future of Oracle Cloud DBAs, highlighting how AI-driven automation is ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...

The National Database and Registration Authority (NADRA) has introduced new regulations that overhaul its national identity ...

India's Aadhaar database has maintained an impeccable security record since its launch, the government assured Parliament. A robust, multi-layered de ...

The Centre told the Lok Sabha that no Aadhaar data breach has occurred from the core UIDAI database till date, citing strong ...

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

The bug lets attackers with local access elevate to “system” or destabilize machines through unsafe privilege file operations ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

A monitor node validates state proofs and anchors snapshots on chain, which provides auditability for attribution and ...

AI agents are becoming algorithmic customers and redefining holiday shopping, supply chains and trust while raising new ...

Your enterprise may be more locked into a vendor’s AI than you realize, thanks to AI-native features in services you’re ...