|
The new Google Pixel 11 Pro XL doesn't dramatically reinvent the company's flagship smartphone formula. From a hardware perspective, this year's model represents an incremental update. But after spending time with Google's latest full-featured Pixel, I've found that some of its most meaningful improvements for business users aren't necessarily the things that stand out on a spec sheet or benchmark chart.
Starting at $1,299 with 256GB of storage, the Pixel 11 Pro XL features a 6.8-in. Super Actua LTPO OLED display, Google's new Tensor G6 processor, a 5115mAh battery and an updated triple-camera system. Google also pledges seven years of operating system, Android security and Pixel Drop updates.
The hardware is very good, but Google's deeper integration of Gemini with Android and other thoughtful software features are what make this device more interesting.
Tensor G6 performance: The numbers don't tell the whole story
Google's Tensor processors have never been benchmark chart-toppers, and the Tensor G6 doesn't change that. In Geekbench 6, the Pixel 11 Pro XL scored 2,736 single-core and 7,399 multi-core numbers. That's a healthy improvement over the Pixel 10 Pro XL's 2,326 and 6,413, respectively, but well behind devices like Samsung's Galaxy S26 Ultra (at 3,683 and 11,243) powered by Qualcomm's latest SoCs.
|
|
Comedians used to post footage of their performances to build a following. Now, some are finding that comic strip-style panels with captions pack a bigger punch.
|
|
OpenAI president Greg Brockman on Sunday warned enterprise CISOs that they need to more aggressively embrace agents if they want to survive upcoming cyberattacks.
Brockman said in a blog post that it has become "increasingly clear" that company systems are hiding "significant flaws, and defenders need to find and fix them before attackers do."
He added: "The Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models."
The details he shared about OpenAI's current defensive efforts, however, were mostly routine best practices familiar to enterprises.
"We continue to invest in secure architecture and controls, embrace strategies like defense in depth and least privilege, and are designing systems that require multiple independent controls to fail simultaneously for something catastrophic to occur," Brockman said. "Classic security controls like network isolation, workload hardening, monitoring, and safe patching and deployment will be more important than ever in the AI future."
To combat emerging threats, Brockman also advised enterprise CISOs to increase their use of agentic systems, not surprisingly recommending those from OpenAI.
"Give your securit
|
|
