Welcome Element 49!
We are excited to announce the release of Element 49,a major step forward toward one Siemens Design Language. Highlights of this release include: Please check out our update guide for specific update instructions. Visual and behavioral alignment with iX With Element v49, we continue and deepen the alignment between Element and iX, focusing not only […]
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Apple iOS 26.5 public beta is now available
Apple has released the first public beta for iOS 26.5, just a few days after the beta for developers came out. One of the biggest changes the new operating system brings is the “ Suggested Places ” feature in Apple Maps. It will show you trending places to visit, such as restaurants and other establishments, near your location or based on your search history. You can see Suggested Places when you tap on the search bar in the Maps app. iOS 26.5 beta also will also come with notifications that the company will be putting ads inside Maps. Apple confirmed in March that it was going to expand its ads outside of the App Store and Apple News apps. The ads you see will be based on your location, the search terms you’ve used and what you’re looking up on Maps. They will show up at the top of your s
OCSF explained: The shared data language security teams have been missing
The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to describe security data. The Open Cybersecurity Schema Framework ( OCSF), is emerging as one of the strongest candidates for that job. It gives vendors, enterprises, and practitioners a common way to represent security events , findings, objects, and context. That means less time rewriting field names and custom parsers and more time correlating detections, running analytics, and building workflows that can work across products. In a market where every security team is stitching together endpoint, identity, cloud, SaaS, and AI telemetry, a common infrastructure long felt like a pipe dream, and OCS
How to Use Claude Code for Security Audits: The Script That Found a 23-Year-Old Linux Bug
Learn the exact script and prompting technique used to find a 23-year-old Linux kernel vulnerability, and how to apply it to your own codebases. The Technique — A Simple Script for Systematic Audits At the [un]prompted AI security conference, Anthropic research scientist Nicholas Carlini revealed he used Claude Code to find multiple remotely exploitable heap buffer overflows in the Linux kernel, including one that had gone undetected for 23 years. The breakthrough wasn't a complex AI agent—it was a straightforward bash script that systematically directed Claude Code's attention. Carlini's script iterates over every file in a source tree, feeding each one to Claude Code with a specific prompt designed to bypass safety constraints and focus on vulnerability discovery. Why It Works — Context,
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AI companions can comfort lonely users but may deepen distress over time
AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human relationships.
Hackers breached the European Commission by poisoning the security tool it used to protect itself
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