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
Nigeria Targeted with 4,622 Cyber-attacks Per Week in December 2025

In December 2025, organisations globally faced sustained cyber pressure, as the average number of cyber-attacks per organisation per week reached 2 027, a 1% increase from the previous month and a 9% increase from December 2024.

This is according to December 2025 Global Cyber Attack Statistics by Check Point Research, the threat intelligence arm of Check Point Software Technologies.
According to the statistics, Latin America was the hardest hit, with companies experiencing an average of 3 065 cyber-attacks per week, a 26% year-over-year increase.
In contrast, Africa saw a decline in attacks, with Nigeria (4 622 attacks per week) and Angola (4 002 attacks per week) being the most targeted countries on the continent.
The report’s findings highlight the evolving cyber threat landscape, with ransomware and GenAI-driven data risks posing significant challenges to companies worldwide.
Ransomware attacks jumped 60% year over year, with 945 publicly reported incidents in December. Qilin was the most active ransomware operator, responsible for 18% of publicly disclosed attacks.
“Ransomware continues to scale through industrialised operations, while unmanaged GenAI usage is creating widespread data exposure at enterprise level,” said Omer Dembinsky, data research manager at Check Point Research.
The report noted the education sector was the most targeted industry globally, with 4 349 cyber attacks per week; followed by government (2 666 attacks per week); and associations and non-profits (2 509 attacks per week).
The widespread adoption of GenAI tools has introduced new cyber security risks, with one in 27 GenAI prompts posing a high risk of sensitive data leakage.
Experts warn that companies must prioritise prevention-first security, real-time AI threat intelligence and strong governance over AI tools to mitigate these risks.
Hendrik de Bruin, head of security consulting at Check Point Software, added: “Strengthening ransomware resilience, deploying AI-powered prevention and enforcing clear GenAI governance will be critical to reducing cyber risk in the year ahead.”
E-Business
Half of Global Companies Build SOCs to Enhance Cybersecurity, with a Focus on Human Expertise

Among the primary reasons for establishing a Security Operations Center (SOC) are strengthening cybersecurity posture, enabling faster detection and response and gaining a competitive edge.

Interestingly, despite the increasing demand for automated cybersecurity solutions, businesses rely on skilled security professionals to make key decisions, as human expertise remains essential for effective security management.
A Security Operations Center (SOC) is a dedicated organisational unit responsible for continuous monitoring and safeguarding of a company’s IT infrastructure. Its core mission is to proactively detect, analyse and respond to cybersecurity threats.
To identify the main drivers, strategic priorities, and potential challenges in SOC planning and implementation, Kaspersky has conducted a comprehensive global study involving senior IT security specialists, managers and directors from companies with 500 or more employees.
All participants operate without a SOC but have plans to establish one in the near future. The study spans 16 countries across APAC, META, LATAM, Europe, and Russia, providing valuable insights into the emerging trends and best practices in SOC development worldwide.
The findings of the research reveal that 50% of companies intend to establish SOCs to strengthen their cybersecurity posture, and 45% are motivated by the need to address increasingly sophisticated and dangerous threats.
Other drivers include budget optimisation, the necessity for faster detection and response, and the expansion of software, endpoints and user devices – factors that demand more comprehensive and layered security measures.
These are cited by 41% of organisations. Additionally, 40% seek better protection of confidential information, 39% aim to meet regulatory requirements and one-third (33%) expect SOC capabilities to provide a competitive edge. Larger enterprises tend to cite each of these reasons more often, reflecting the broader operational and regulatory pressures they experience.
Continuous monitoring becomes the leading SOC requirement
Among the key functions organisations plan to delegate, 24/7 security monitoring leads at 54%. This around-the-clock vigilance enables early detection of anomalies, prevents escalation and sustains cyber resilience in real-time. This demand highlights a strategic requirement for proactive risk management, as organisations aim to defend against persistent threats that can strike at any moment.
Companies intending to fully outsource SOC operations show a stronger interest in applying “lessons learned” methodologies, whereas those developing internal SOCs focus more on access management to maintain tighter control.
Human expertise drives SOC technology choices
While SOCs use advanced technology, the choices made by organisations show that human analysts are very important. Among the solutions that organisations plan to include in SOC are – Threat Intelligence Platforms (48%), Endpoint Detection and Response (42%) and Security Information and Event Management systems (40%) – sophisticated solutions that automate data collection and reduce operational load, however, they depend heavily on skilled security professionals who provide critical context, interpret complex findings and make final decisions when guiding appropriate responses.
Other solutions chosen include Extended Detection and Response (38%), Network Detection and Response (37%) and Managed Detection and Response (33%). Large enterprises tend to adopt more technologies (5.5 per SOC on average), while smaller ones integrate fewer (3.8).
“To successfully build a SOC, companies must prioritise not only the right mix of technology but also the careful planning of processes, clear goal-setting and effective resource distribution.
“Well-defined workflows and continuous improvement are essential to ensure that human analysts can focus on critical tasks, making the SOC a proactive and adaptable component of their cybersecurity strategy,” comments Roman Nazarov, Head of SOC Consulting at Kaspersky.
E-Business
Nigerian Terra Industries Secures $11.8m for Expansion

Terra Industries, a Nigerian defence technology startup, has raised $11.75 million to expand its development of defensive systems that protect critical facilities across Africa.

The fundraising round was led by Silicon Valley venture firm 8VC, which was founded by Palantir co-founder Joe Lonsdale.
Other investors in the round include Valour Equity Partners, Lux Capital, SV Angel, and Nova Global, as well as African-focused funds Tofino Capital, Kaleo Ventures, and DFS Lab.
Terra Industries, founded in Abuja by Nathan Nwachuku and Maxwell Maduka, provides multi-domain security solutions for both air and land. Its solutions are intended to detect and respond to threats including terrorism, sabotage, and armed attacks on infrastructure.
The company’s product portfolio includes surveillance drones, ground-based robotic systems, and fixed monitoring towers deployed around sensitive locations.
Co-founder and CEO Nathan Nwachuku said the company has now fully embraced its identity as a defence-focused startup, citing the growing urgency of security challenges across Africa.
He said safeguarding critical infrastructure from terrorist threats has become unavoidable.
Nwachuku argues that protecting Africa’s infrastructure requires a different approach, one that combines local manufacturing, end-to-end system control, and software capable of independently identifying and responding to threats over large areas.
The company aims to position itself as a defence prime, similar to the role played by firms such as Anduril Industries and Palantir in the United States.
Nwachuku also disclosed that the company had earlier raised $800,000 in pre-seed funding.
With the new funding, Terra plans to increase manufacturing capacity within Africa, establish additional defence production facilities, and expand its artificial intelligence and software teams.
While software offices are planned for San Francisco and London, the company said manufacturing operations will remain on the continent.
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