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XDR Sophos: Driven by information

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Our extended detection and response (XDR) solution was built around a single guiding principle: You need the best data to get the best XDR.

Data is what drives Sophos XDR. For the most accurate threat detection, investigation, and response, it provides the most precise data across multiple dimensions. The scope of the data, the variety of sources, and the quality of the data enable this.

Scope of the data Sophos XDR combines 30 days of cross-product telemetry in our data lake with 90 days of rich on-device endpoint and server data. This gives the broadest and most top to bottom, contextualized bits of knowledge for both live and disconnected gadgets.

For what reason do you want both on-gadget information and information put away in an information lake? The two kinds of data complement one another, which is crucial for stopping high-stakes, stealthy attacks.

On-device data gives you a live view of what’s happening on your servers and endpoints right now and a very detailed history of activities over the past 90 days, which is much more detailed than what a data lake typically keeps.

All critical data and occasions are logged. This incorporates cycle data down to the string level (beginning, halting, parent, kid), changes to the vault, programs running, framework occasions, and a whole lot more.

The data lake has its own advantages, such as the ability to correlate information from across your estate to identify incidents.

Vitally, it likewise permits clients to question both on the web and disconnected gadgets – even those which might have been taken disconnected during an assault. However, cloud-based data is always historical and does not provide a current view.

Both types of data work together. The information lake gives the elevated perspective and helps connect occasions across your home from both live and disconnected gadgets. Using the industry’s richest on-device data set, you can then pivot to live running systems to see exactly what’s going on right now or in the last 90 days.

By combining data from on-device devices with data from the data lake, you get the most comprehensive set of data possible without missing anything.

Sources of data Sophos XDR is the only XDR solution that synchronizes native endpoint, server, firewall, and email security. Soon, mobile and cloud integrations will be available.

This extensive collection of data sources extends far beyond server and endpoint visibility alone. When you detect and investigate incidents, on the other hand, you get the complete picture.

You could, for instance, use the data from your firewall to find suspicious traffic coming from an unmanaged endpoint or look into a phishing attack to see if more traffic has been sent to a malicious domain.

Every one of the information sources are incorporated out of the crate when you have Sophos XDR-empowered parts. There is no need for you to design your own infrastructure.

Quality of the data Having a lot of data is only one part of threat detection and response.

You need high-quality data instead because huge amounts of data can be overwhelming.

With more high-quality data in Sophos XDR, we can deliver stronger signals with less noise for better detection. This is on the grounds that Sophos XDR is based on top of Block X, the world’s best endpoint assurance.

Capture X channels out a ton of the clamor that winds up causing ready weakness for investigators, permitting them to help center around what’s genuinely significant.

Sophos XDR provides additional context to put the data in perspective, which further enhances the quality of the data. This incorporates extra insight from SophosLabs and the Sophos simulated intelligence group.

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AI Features of the Google Pixel 8a Leaked before the Device’s Planned Release

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A new smartphone from Google is anticipated to be unveiled during its May 14–15 I/O conference. The forthcoming device, dubbed Pixel 8a, will be a more subdued version of the Pixel 8. Despite being frequently spotted online, the smartphone has not yet received any official announcements from the company. A promotional video that was leaked is showcasing the AI features of the Pixel 8a, just weeks before its much-anticipated release. Furthermore, internet leaks have disclosed software support and special features.

Tipster Steve Hemmerstoffer obtained a promotional video for the Pixel 8a through MySmartPrice. The forthcoming smartphone is anticipated to include certain Pixel-only features, some of which are demonstrated in the video. As per the video, the Pixel 8a will support Google’s Best Take feature, which substitutes faces from multiple group photos or burst photos to “replace” faces that have their eyes closed or display undesirable expressions.

There will be support for Circle to Search on the Pixel 8a, a feature that is presently present on some Pixel and Samsung Galaxy smartphones. Additionally, the leaked video implies that the smartphone will come equipped with Google’s Audio Magic Eraser, an artificial intelligence (AI) tool for eliminating unwanted background noise from recorded videos. In addition, as shown in the video, the Pixel 8a will support live translation during voice calls.

The phone will have “seven years of security updates” and the Tensor G3 chip, according to the leaked teasers. It’s unclear, though, if the phone will get the same amount of Android OS updates as the more expensive Pixel 8 series phones that have the same processor. In the days preceding its planned May 14 launch, the company is anticipated to disclose additional information about the device.

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Apple Unveils a new Artificial Intelligence Model Compatible with Laptops and Phones

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All of the major tech companies, with the exception of Apple, have made their generative AI models available for use in commercial settings. The business is, nevertheless, actively engaged in that area. Wednesday saw the release of Open-source Efficient Language Models (OpenELM), a collection of four incredibly compact language models—the Hugging Face model library—by its researchers. According to the company, OpenELM works incredibly well for text-related tasks like composing emails. The models are now ready for development and the company has maintained them as open source.

In comparison to models from other tech giants like Microsoft and Google, the model is extremely small, as previously mentioned. 270 million, 450 million, 1.1 billion, and 3 billion parameters are present in Apple’s latest models. On the other hand, Google’s Gemma model has 2 billion parameters, whereas Microsoft’s Phi-3 model has 3.8 billion. Minimal versions are compatible with phones and laptops and require less power to operate.

Apple CEO Tim Cook made a hint in February about the impending release of generative AI features on Apple products. He said that Apple has been working on this project for a long time. About the details of the AI features, there is, however, no more information available.

Apple, meanwhile, has declared that it will hold a press conference to introduce a few new items this month. Media invites to the “special Apple Event” on May 7 at 7 AM PT (7:30 PM IST) have already begun to arrive from the company. The invite’s image, which shows an Apple Pencil, suggests that the event will primarily focus on iPads.

It seems that Apple will host the event entirely online, following in the footsteps of October’s “Scary Fast” event. It is implied in every invitation that Apple has sent out that viewers will be able to watch the event online. Invitations for a live event have not yet been distributed.
Apple has released other AI models before this one. The business previously released the MGIE image editing model, which enables users to edit photos using prompts.

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Google Expands the Availability of AI Support with Gemini AI to Android 10 and 11

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Android 10 and 11 are now compatible with Google’s Gemini AI, which was previously limited to Android 12 and above. As noted by 9to5google, this modification greatly expands the pool of users who can take advantage of AI-powered support for their tablets and smartphones.

Due to a recent app update, Google has lowered the minimum requirement for Gemini, which now makes its advanced AI features accessible to a wider range of users. Previously, Gemini required Android 12 or later to function. The AI assistant can now be installed and used on Android 10 devices thanks to the updated Gemini app, version v1.0.626720042, which can be downloaded from the Google Play Store.

This expansion, which shows Google’s goal to make AI technology more inclusive, was first mentioned by Sumanta Das on X and then further highlighted by Artem Russakoviskii. Only the most recent versions of Android were compatible with Gemini when it was first released earlier this year. Google’s latest update demonstrates the company’s dedication to expanding the user base for its AI technology.

Gemini is now fully operational after updating the Google app and Play Services, according to testers using Android 10 devices. Tests conducted on an Android 10 Google Pixel revealed that Gemini functions seamlessly and a user experience akin to that of more recent models.

Because users with older Android devices will now have access to the same AI capabilities as those with more recent models, the wider compatibility has important implications for them. Expanding Gemini’s support further demonstrates Google’s dedication to making advanced AI accessible to a larger segment of the Android user base.

Users of Android 10 and 11 can now access Gemini, and they can anticipate regular updates and new features. This action marks a significant turning point in Google’s AI development and opens the door for future functional and accessibility enhancements, improving everyone’s Android experience.

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