Cybersecurity’s Next Challenge Is Too Much Security

A closed-door Washington roundtable on chips, critical minerals and AI infrastructure shows how the race for artificial intelligence is shifting from models to the supply chains beneath them.

The planned restricted release marks an early test of Washington’s role in reviewing powerful AI models before they reach wider commercial use.

A GMAC survey of 621 corporate recruiters finds business degrees as trusted as ever and hiring on the rise, even as one in three companies hands junior work to AI and the skills employers prize shift toward what machines cannot do

AI is making software flaws cheap to find. The edge in cybersecurity is shifting from spotting threats to deciding, fast, which ones can actually hurt you.

This week brought major developments across AI policy, infrastructure and enterprise technology.

The government may get a 1% to 2% holding in the Bengaluru startup through support extended under the IndiaAI Mission.

The final telecom authorization rules remove a proposed 20% local sourcing requirement for satellite internet operators, though the obligation may still apply through license agreements.

The deal positions EXL to support enterprises in building customized, small-language models tailored to their data and workflows.

The central bank has proposed draft rules requiring banks and other regulated entities to immediately suspend or deactivate AI models if they malfunction or pose risks.

The Palo Alto-based startup, backed by a $32 million seed round led by Mayfield, wants to help large companies build and run software with AI.