Enterprises Have Too Much Threat Intel And Too Little Prevention

A new survey finds 100% of security teams can’t connect threat signals to real threats, and zero organizations measure pre-attack disruption.

OCUDU Aims To Scale Open Source AI-RAN Innovation

The evolution of open radio access network infrastructure through AI integration and a discrete focus on underlying centralized and distributed unit functionality

What MWC 2026 Revealed About The Future Of AI At Work

MWC 2026 showed that the next wave of AI value will come from the point where digital intelligence meets work. AI is moving into devices, glasses, networks and machines.

LinkedIn’s Verified Badge Is A Trust Signal—But Who’s Watching?

LinkedIn’s identity verification makes sense. But its partner Persona was found running 269 surveillance checks on users—with ties to federal watchlists.

‘Friends Like These’ Reveals How Social Media Turned Drama Into Tragedy

Friends Like These revisits the 2012 murder of Skylar Neese—-and raises real questions about what social media does to teenagers, and to investigations.

DNA Storage Evolves With Atlas/Imec Collaboration And Biomemory Acquisition

Atlas Data Storage partners with imec for advanced DNA storage and Biomemory acquires Catalog Technologies to enhance its DNA block-based printing storage technology.

Startup Loft Orbital Is Launching AI-Powered Satellites This Fall

Building space-based AI. Designing new molecules with quantum computers. Why pink noise is bad for your sleep. All that and more in this week’s edition of The Prototype.

Hackers Don’t Need Malware Anymore And That Changes Everything

CrowdStrike’s 2026 report finds 82% of attacks are malware-free, breakout times average 29 minutes, and adversaries exploit trust in identities, cloud, and supply chains.

The Biggest Mistake Companies Are Making With AI Agents

‘AI’s real promise isn’t doing the same work cheaper; it’s enabling entirely different work at entirely different scales.’

Anthropic: 91% Of Users Do Not Fact-Check AI. Let’s Fix That.

To improve AI fluency, productivity, and innovation, users must be – and act – skeptical.