E-Business
Microsoft Adds Ways for Customers on AI with Azure

Elevators that respond to voice commands, cameras that notify store managers when to restock shelves and video streams that keep tabs on everything from cash register lines to parking space availability.

These are a few of the millions of scenarios becoming possible thanks to a combination of artificial intelligence and computing on the edge. Standalone edge devices can take advantage of AI tools for things like translating text or recognizing images without having to constantly access cloud computing capabilities, according to John Roach, Executive Architect, Digital Transformation Services, Microsoft.
At its Ignite digital conference, Microsoft unveiled the public preview of Azure Percept, a platform of hardware and services that aims to simplify the ways in which customers can use Azure AI technologies on the edge – including taking advantage of Azure cloud offerings such as device management, AI model development and analytics.
Roanne Sones, corporate vice president of Microsoft’s edge and platform group, said the goal of the new offering is to give customers a single, end-to-end system, from the hardware to the AI capabilities, that “just works” without requiring a lot of technical know-how.
The Azure Percept platform includes a development kit with an intelligent camera, Azure Percept Vision. There’s also a “getting started” experience called Azure Percept Studio that guides customers with or without a lot of coding expertise or experience through the entire AI lifecycle, including developing, training and deploying proof-of-concept ideas.
For example, a company may want to set up a system to automatically identify irregular produce on a production line so workers can pull those items off before shipping.
Azure Percept Vision and Azure Percept Audio, which ships separately from the development kit, connect to Azure services in the cloud and come with embedded hardware-accelerated AI modules that enable speech and vision AI at the edge, or during times when the device isn’t connected to the internet.
That’s useful for scenarios in which the device needs to make lightning-fast calculations without taking the time to connect to the cloud, or in places where there isn’t always reliable internet connectivity, such as on a factory floor or in a location with spotty service.
The Azure Percept platform makes it easy for anyone to deploy artificial intelligence on the edge. Devices include a Trusted Platform Module (center), Azure Percept Audio (left) and Azure Percept Vision (right). Photo credit: Microsoft
In addition to announcing hardware, Microsoft says it is working with third-party silicon and equipment manufacturers to build an ecosystem of intelligent edge devices that are certified to run on the Azure Percept platform, Sones said.
“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” she said.
“But they can envision it in any kind of responsible form factor to cover a pattern of the world.”
Making AI at the edge more accessible
The goal of the Azure Percept platform is to simplify the process of developing, training and deploying edge AI solutions, making it easier for more customers to take advantage of these kinds of offerings, according to Moe Tanabian, a Microsoft vice president and general manager of the Azure edge and devices group.
For example, most successful edge AI implementations today require engineers to design and build devices, plus data scientists to build and train AI models to run on those devices. Engineering and data science expertise are typically unique sets of skills held by different groups of highly trained people.
“With Azure Percept, we broke that barrier,” Tanabian said. “For many use cases, we significantly lowered the technical bar needed to develop edge AI-based solutions, and citizen developers can build these without needing deep embedded engineering or data science skills.”
The hardware in the Azure Percept development kit also uses the industry standard 80/20 T-slot framing architecture, which the company says will make it easier for customers to pilot proof-of-concept ideas everywhere from retail stores to factory floors using existing industrial infrastructure, before scaling up to wider production with certified devices.
As customers work on their proof-of-concept ideas with the Azure Percept development kit, they will have access to Azure AI Cognitive Services and Azure Machine Learning models as well as AI models available from the open-source community that have been designed to run on the edge.
In addition, Azure Percept devices automatically connect to Azure IoT Hub, which helps enable reliable communication with security protections between Internet of Things, or IoT, devices and the cloud. Customers can also integrate Azure Percept-based solutions with Azure Machine Learning processes that combine data science and IT operations to help companies develop machine learning models faster.
In the months to come, Microsoft aims to expand the number of third-party certified Azure Percept devices, so anybody who builds and trains a proof-of-concept edge AI solution with the Azure Percept development kit will be able to deploy it with a certified device from the marketplace, according to Christa St. Pierre, a product manager in Microsoft’s Azure edge and platform group.
“Anybody who builds a prototype using one of our development kits, if they buy a certified device, they don’t have to do any additional work,” she said.
Security and responsibility
Because Azure Percept runs on Azure, it includes the security protections already baked into the Azure platform, the company says.
Microsoft also says that all the components of the Azure Percept platform, from the development kit and services to Azure AI models, have gone through Microsoft’s internal assessment process to operate in accordance with Microsoft’s responsible AI principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
The Azure Percept team is currently working with select early customers to understand their concerns around the responsible development and deployment of AI on edge devices, and the team will provide them with documentation and access to toolkits such as Fairlearn and InterpretML for their own responsible AI implementations.
Ultimately, Sones said, Microsoft hopes to enable the development of an ecosystem of intelligent edge devices that can take advantage of Azure services, in the same way that the Windows operating system has helped enable the personal computer marketplace.
“We are a platform company at our core. If we’re going to truly get to a scale where the billions of devices that exist on the edge get connected to Azure, there is not going to be one hyperscale cloud that solves all that through their first-party devices portfolio,” she said. “That is why we’ve done it in an ecosystem-centric way.”
E-Business
Kaspersky Discovers Vulnerability in Qualcomm Snapdragon Chips that can Lead to Data Loss & Device Compromise

Kaspersky ICS CERT discovered a hardware-level vulnerability affecting Qualcomm chipsets that are widely used in a range of consumer and industrial devices, including smartphones and tablets, car components, IoT devices and more.

The vulnerability resides in the BootROM – firmware embedded at the hardware level. Attackers could potentially get access to any data stored on the device or device sensors like camera and microphone, implement complicated attack scenarios and in some circumstances get full control of the device. The results of the research were presented at Black Hat Asia 2026.
The vulnerability affects Qualcomm MDM9x07, MDM9x45, MDM9x65, MSM8909, MSM8916, MSM8952 and SDX50 series and was reported to Qualcomm in March 2025. Qualcomm formally acknowledged the vulnerability in April 2025. It has been assigned a CVE-2026-25262. Other Qualcomm-based chips may be affected as well.
Kaspersky researchers explored the Sahara protocol, a low-level communication system used when a Qualcomm chip enters Emergency Download Mode (EDL) – a special recovery mode designed for repairing or restoring smartphones or other devices. Sahara acts as the first step that allows a computer to connect to the device and load software before the operating system on the device starts.
Kaspersky demonstrated that a security flaw in this process could allow an attacker with physical access to the target device to bypass key security protections in the chip, compromise the secure boot chain and, in some cases, deploy malicious applications and backdoors to the chip’s Application Processor, thus fully compromising the entire device.
For example, in cases when the target device is a smartphone or a tablet, the attacker can potentially get access to entered user passwords, and subsequently this opens further access to multiple types of sensitive user data, such as files, contacts, location, access to the devices’ camera and microphone, etc.
A potential attacker only needs a few minutes of physical access to a device to compromise it. Therefore, if a smartphone has been sent for repair or left unattended for a short time, one can no longer be sure it is not infected. Researchers warn that the threat extends beyond end-user scenarios to include potential compromise during the supply chain phase.
“Vulnerabilities like this may allow attackers to deploy malware that is difficult to detect and remove. In practice, this could enable covert data collection or influence device behaviour over extended periods of time.
“While a reboot might seem like an effective way to remove such malware, it cannot always be relied upon: compromised systems may simulate a reboot without actually resetting. In such cases, only a complete loss of power – including battery depletion – guarantees a clean restart,” comments Sergey Anufrienko, security expert at Kaspersky ICS CERT.
Kaspersky advises organisations and individual users to exercise strict physical security control over devices including at the supply, maintenance and decommissioning phases. A reboot of the device by cutting off the power supply to the affected chip (if available) or full battery discharge may help to get rid of the malware if it was installed.
E-Business
Survey Shows Gaps in Cybersecurity Policies and Employee Commitment Leave Organisations Vulnerable

A recent Kaspersky survey entitled “Cybersecurity in the workplace: Employee knowledge and behaviour”, showed that 39% of professionals in the Middle East, Turkiye and Africa (META) region, consider cybersecurity rules in their company to be excessive or not fully appropriate.

While 7% noted that their organisations do not have cybersecurity rules or that they are not aware of them. These results show a disconnect between corporate cybersecurity policies and employee commitment to these rules, underscoring the risks associated with shadow IT and unmanaged device usage in the workplace.
Shadow IT is defined as the use of unauthorised software, devices, or services without IT oversight, and it has evolved into a critical business risk. While often driven by employee productivity needs, it creates blind spots for IT departments.
The rise of hybrid work environments, increased reliance on cloud-based tools and the spread of AI tools have accelerated this trend. Without robust cybersecurity management and oversight, organisations face heightened exposure to ransomware attacks, data leaks, and regulatory penalties.
19% of survey respondents in the META region said there are no policies regarding the use of non-corporate devices in their company. 35% of employees admitted that they can use their own devices to access business information, provided they have some type of cybersecurity protection, even consumer-grade software.
On the positive side, 21% said they can use their own device, but these must first pass more stringent corporate IT security checks; while 25% of respondents indicated that only devices provided by the IT function can be used for work purposes.
The situation is significantly better with permissions for employees to install software on corporate devices without IT department’s approval. 50% reported that only IT specialists in their company are allowed to install software, while in 31% of organisations only top management or designated users can do so. 11% of employees can install software that is approved by the IT team. However, 8% of respondents said that all users can install any software they need without IT agreement in their organisation.
At the same time 21% of professionals surveyed acknowledged that within the past year they installed software on their work devices without IT supervision. That highlights a persistent shadow IT challenge that continues to expose organisations to security vulnerabilities, compliance risks, and data breaches.
“Shadow IT is now a mainstream operational risk. When one in five employees installs software without IT oversight, it signals a policy gap. Many organisations already have security policies in place, but employee perception must also be considered.
Organisations should move beyond restrictive controls and instead implement intelligent, user-centric cybersecurity strategies that combine strategies that integrate technology with employee awareness and responsible use,” said Toufic Derbass, Managing Director for the META region at Kaspersky.
E-Business
Microsoft Faces £1.7Bn Cloud Lawsuit in UK over Alleged Market Abuse

Microsoft is facing a £1.7 billion ($2.3 billion) class action lawsuit in the United Kingdom over allegations that it abused its dominant market position in cloud computing.

Microsoft
The case, filed before the Competition Appeal Tribunal, was brought by Maria Luisa Stasi on behalf of about 59,000 British businesses and organisations. It alleges that Microsoft unfairly imposed higher costs on customers running its Windows Server software on rival cloud platforms.
Stasi said the company’s practices have had a significant financial impact on both public and private sector organisations over several years.
In allowing the case to proceed, the tribunal ruled that it has a “reasonable prospect of success.” The judges noted that Microsoft is alleged to have abused its dominance in the paid server operating system market to undermine competition in the cloud services space.
If the claim succeeds, compensation for affected organisations is estimated to range between £1.7 billion and £2.1 billion.
Microsoft has rejected the allegations and confirmed it will appeal the ruling. A company spokesperson said the decision does not represent a final judgment on the claims and that it disputes the substance of the case.
The lawsuit comes as regulators in the UK and the European Union intensify scrutiny of Microsoft’s cloud business practices. UK authorities are currently assessing whether the company should be designated as having “strategic market status,” a move that would subject it to stricter competition rules.
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