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Microsoft Adds Ways for Customers on AI with Azure

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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.

Microsoft Adds Ways for Customers on AI with Azure

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.”

 


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Firm Discovered a New Corporate Phishing Technique using a Popular AI Web Development Platform

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Kaspersky has discovered that attackers have begun exploiting another legitimate service for malicious purposes – this time it is Tencent EdgeOne Pages, a platform for creating and hosting web applications.

Attackers are misusing its capabilities to generate phishing emails targeting corporate users. Previously Kaspersky has described similar attacks leveraging Google services and web applications generated by Bubble, an AI-powered app builder, to hunt for corporate credentials.

Employees across multiple industries including the industrial sector, sales, and government are among the targets. The goal of the attack is to steal login credentials for corporate resources. Over the past 30 days, the company’s experts have detected more than 8,000 phishing emails using this tactic, including messages in English, Korean, and Russian.

The Tencent EdgeOne Pages service is positioned as a platform for quickly creating and deploying web applications using AI. Scammers misuse it to generate and publish phishing pages in minutes with virtually no web development skills.

Attackers host phishing pages on EdgeOne’s legitimate cloud infrastructure and use trusted domains. As a result, such sites appear to be established and secure to many protective solutions, complicating the detection of such attacks.

How the attack begins

The user receives an email from the alleged “corporate email support team”. The message states that the account login credentials will expire in 48 hours, and that failure to update them may result in problems receiving or sending emails.

To avoid restrictions, the user is prompted to click a link and enter relevant information. Phishing emails are not limited to this narrative, and could deliver any corporate message, such as a message from the HR department or a notification of a received document that should be downloaded.

Clicking the link in the email opens a page with a form for entering the victim’s name, email address, and password. It is a simple design, with virtually no additional elements.

After the user enters their login and password, the data is transferred to a server controlled by the attackers.

“We are seeing a continuation of the trend in which attackers use AI and no-code platforms as part of their phishing infrastructure. We’ve previously observed a similar scheme using the Bubble platform, and here we have yet another example.

“While the communication used in these phishing attacks is typical and has been used before multiple times, the attack technique itself significantly lowers the barrier to entry for attackers and accelerates the creation of phishing resources.

“Previously this required at least basic web development skills, but now an infrastructure for fraudulent emails can be created in minutes,” comments Roman Dedenok, Anti-Spam Expert at Kaspersky.


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Kaspersky Report Shows Early 2026 Witnessed an Increase in Cyberattacks on the Manufacturing Sector

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According to a new Kaspersky ICS CERT report, in Q1 2026 the percentage of industrial control systems (ICS) on which malicious objects were blocked reached 19.6% globally. Kaspersky security solutions blocked malware from 10,052 different malware families of various categories on industrial automation systems.

Regionally, the share of ICS computers that were attacked ranged from 27.4% in Africa to 9.1% in Northern Europe. Compared to the previous quarter, attacks on the manufacturing sector in Q1 increased in multiple regions, including in Europe and Asia.

Regional split

In terms of overall numbers across all industry sectors, five regions saw an increase in the share of attacked ICS computers in Q1 2026 compared to the previous quarter. These were Southern Europe, Russia, Northern Europe, Canada and Africa.

Industries

In Q1, biometric systems traditionally placed first in terms of the share of ICS computers on which malicious objects were blocked, at 26.4%. These systems commonly have Internet access, are used for email, and, in many cases, have minimal cybersecurity controls within the organisations that use these systems.

Regionally, Southern Europe leads the ranking based on the percentage figures for biometric systems, at 35.15%. Africa follows at 29.58%, and Central Asia comes in third at 28.53%.

In the manufacturing industry, Southeast Asia ranks first among regions in terms of the percentage of ICS computers attacked (23.21%), followed by Africa (21.36%) and South Asia (20.13%).

In 2025, Kaspersky and VDC Research estimated that in just the first three quarters of 2025 cyberattacks on manufacturing organisations via ransomware could have generated over $18 billion globally in losses. Actual business losses could have been even higher when factoring in supply-chain disruptions, reputational damage, and recovery expenses.

“Legacy operational technology systems remain deeply embedded in manufacturing environments, which makes them vulnerable. Supply chain complexity and branching of the trusted partner network expands the attack surface beyond the network perimeter.

Attackers are realising that targeting OT assets of an industrial enterprise is not rocket science, which is why factory shutdowns bring massive financial losses,” commented Evgeny Goncharov, Head of Kaspersky ICS CERT.

 


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NDPC, Meta Launch 2-Year M-SIDP after Regulatory Settlement

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Nigeria Data Protection Commission (NDPC) has launched the Meta-Supported Initiatives for Data Protection (M-SIDP), a strategic programme aimed at strengthening data privacy awareness, regulatory compliance and institutional capacity across Nigeria’s digital ecosystem.

NDPC, Meta Launch 2-Year M-SIDP after Regulatory Settlement

The initiative follows the conclusion of regulatory proceedings involving Meta Platforms Inc., the parent company of Facebook, Instagram and WhatsApp, over concerns relating to the processing of personal data belonging to Nigerian users. The matter was resolved in 2025 through a court-approved settlement.

Under the agreement, Meta committed to supporting a two-year programme of public-facing data protection measures designed to advance the objectives of the Nigeria Data Protection Act (NDP Act) 2023, the General Application and Implementation Directive (GAID), and the NDPC Strategic Roadmap and Action Plan (SRAP) 2023–2027.

Announcing the initiative, the Commission said the programme would strengthen safeguards for data subjects while promoting responsible data processing practices among organisations operating in Nigeria.

According to a statement signed by Itunu Dosekun, head of the NDPC Media Unit, the programme will focus on governance, research and development, safety and sustainability mechanisms for technology ecosystems, capacity building for Data Protection Officers (DPOs) and Data Protection Compliance Organisations (DPCOs), as well as public awareness campaigns targeted at vulnerable groups.

The Commission stated, “As part of the settlement, Meta committed to supporting a two-year programme of public-facing data protection measures that aligns with the objectives of the Nigeria Data Protection Act, 2023 (NDP Act), the NDP Act General Application and Implementation Directive (GAID) and the NDPC Strategic Roadmap and Action Plan (SRAP) 2023–2027.”

The NDPC stressed that the settlement does not limit its regulatory authority.

“Nothing in this settlement limits the Commission’s independent statutory powers as we continue to exercise our regulatory mandate in relation to data processing activities in Nigeria, in accordance with the NDP Act and other applicable laws,” it stated.

The development comes amid rising global scrutiny of technology companies over data privacy practices, with regulators in regions including the European Union and the United States tightening enforcement against breaches and non-compliance.

Nigeria has also intensified efforts to strengthen its privacy framework following the enactment of the Nigeria Data Protection Act in 2023, which established the NDPC as an independent regulator empowered to monitor compliance, investigate violations and impose sanctions.

Industry experts warn that increasing digital adoption across banking, telecommunications, e-commerce, healthcare and public services has heightened risks of identity theft, cybercrime and unauthorised data sharing.

The NDPC has in recent years stepped up enforcement actions against organisations that violate data protection rules, while also expanding accreditation for Data Protection Compliance Organisations and training for privacy professionals.

The Meta-supported initiative is expected to address gaps in public awareness and technical capacity, while also supporting research and policy development on emerging issues such as artificial intelligence, cross-border data transfers and platform governance.

The Commission said it would provide periodic updates on the implementation of the programme and called on stakeholders to support efforts to build a secure, transparent and accountable privacy ecosystem in Nigeria.


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