E-Business
Opinion: It’s Time to Get Serious About User Data
By Andrew Bourne, Regional Manager, Africa, Zoho Corporation
Over the past few years, tech-savvy customers and younger, more dynamic, employees have forced businesses in all sectors to completely change their way of operating. But with that transformation has come an unprecedented threat in the shape of the harvesting and misuse of personal data by technology vendors.
For their part, customers expect every company they interact with to use technology in a way that makes their lives simpler and more efficient. After all, if they can change insurers or buy groceries with a few taps of their smartphone, why shouldn’t they be able to do the same when it comes to investing or getting property-buying advice?
Employees, meanwhile, expect to be able to interact with their companies in the same way they do with the products and services they themselves use as consumers.
But if organisations aren’t careful with the technology vendors they use, they may not only be putting their customers at risk, but also their own reputation and ultimately, their bottom line. As organisations evaluate their path forward, it is therefore critically important to step back and determine what they are giving up to rapidly stay ahead.
From a personal perspective, it is generally understood that using Google, Facebook, and Twitter comes with a compromise – people pay for these free services by allowing them to track their online behaviour constantly, giving up control of their data. They are, essentially, “surveillance companies”.
The majority of websites monitor customers, users, and prospective customers through cookies; small lines of code designed to track a visitor. Companies pay significant amounts to access the information these cookies collect, so they can target them with advertising. This happens secretly, and without an individual being aware their data has been packaged and distributed to other companies with ulterior motives. What we must recognise is that it happens in the business-to-business (B2B) world as well.
B2B companies allow surveillance companies to track their users while on their properties. Surveillance in the form of trackers can be found everywhere on B2B websites. Salesforce, SAP, WorkDay, NetSuite, and Slack, common applications in today’s professional environments, all employ surveillance tools that track things such as user browsing habits.
It’s not surprising that most Nigerians feel a massive disconnect between how their personal data should be treated and how it actually is. According to a survey by the Web Foundation, 97% of Nigerians view the treatment of their personal data as a major concern.
B2B companies use products and services from surveillance companies in exchange for their users’ data, but users are not informed about it. This practice happens on websites, and it happens on mobile devices. It is everywhere.
Data is priceless, and safeguarding it should be an organisation’s greatest responsibility. It’s important to challenge any company that collects and sells user data to stop adjunct surveillance to protect – and respect – customer privacy.
All organisations should ask if their technology vendor is running its products on a public cloud, where they can track you or client’s behaviour or data. Most public cloud companies also have ad-based business units, and as we know, ads and privacy don’t mix. In order to remove trackers from all ad-supported companies, have they developed tools internally? Where are the “Trojan horses” within the confines of their products?
It has been said that data has surpassed oil in value. For businesses who grow by exploiting consumer’s personal data, it’s gold dust. Sure, some things can be monetised; personal data should not be one of them.
E-Business
Cyber Resilience a Critical Priority for Manufacturing Amid Rapid Digitalization – Report Shows
As 60% of manufacturers race toward full digitalisation, cyber risk is increasingly manifesting as a business risk, according to a new global report by Kaspersky and VDC Strategy.
This means cybersecurity is not merely a compliance function, it is a cornerstone of production assurance, safeguarding uptime, quality, and operational continuity.
Manufacturers are modernising to deliver safer, more consistent and more cost-effective production and digitalization is moving fast: just 9% of organisations describe themselves as fully digital today, but 60% expect to get there within two years, according to the joint report by Kaspersky and VDC, titled ‘Cyber Resilience, Built for Manufacturing’.
That shift links shop-floor equipment, production lines and site operations to platforms such as Manufacturing execution systems (MES), Supervisory control and data acquisition (SCADA) and historians, turning many plants into cyber-physical systems (CPS), where a digital disruption doesn’t stay digital. It can slow production lines, quarantine work in progress, invalidate traceability records, or halt production outright.
What’s driving manufacturing digitalization?
Manufacturers are digitising for measurable operational gains, not novelty. Survey respondents identified the primary drivers of their digital transformation strategy as:
- Improving production output or efficiency (24%)
- Reducing operational or production expenses (15%)
- Enabling new strategic opportunities (14%)
- Improving cyber resilience (13%)
The same connected systems that unlock these gains, including MES, IIoT sensors, automated material handling, remote engineering access, also become the systems that determine whether production can be trusted to keep running.
Cyber risk is now a business risk
Cyber risk has evolved from a mere IT concern to a direct threat to revenue generation, as environments transform into cyber-physical systems. In these integrated settings, digital disruptions like malware no longer just affect data, they can cause unsafe operations, scrapped batches, and halted production on the plant floor. This shift highlights the urgent need to treat cybersecurity as a key part of operational resilience.
According to the report, nearly 60% of manufacturing organisations estimate that cyber incidents cause damages exceeding $1 million per event, with an average disruption of 15.3 hours. The most significant losses often result from production halts, missed delivery commitments, and penalties, rather than just forensic costs.
In this context, downtime links cybersecurity risks to overall business performance. Cyber incidents can reduce Overall Equipment Effectiveness (OEE), strain staffing, and disrupt supply chains. Recovery involves more than system restore, it requires re-establishing confidence in process parameters, quality records, and traceability before resuming operations.
Mature cybersecurity programs now incorporate OT security into governance, focusing on metrics valued by production leaders such as time to restore, backup confidence, legacy asset coverage, and safe degraded operation. This alignment ensures cybersecurity supports continuous production and resilience, not just IT compliance.
However, challenges remain due to split ownership. While 59% of organisations’ IT departments manage security policies, these often overlook plant realities. Managing many security tools (44%) and OT patching issues (38%) show that cybersecurity must be embedded into daily routines of production, engineering, and quality teams. Only through such integration can cybersecurity effectively enhance operational reliability and defend against evolving threats.
“As manufacturing environments become increasingly interconnected, cybersecurity shifts focus from merely adding protective layers to ensuring the availability, resilience, and integrity of production processes. The goal is to minimise operational impact and speed up recovery, rather than solely preventing intrusions.
“Kaspersky offers a unified ecosystem that integrates IT, OT, and IIoT security, empowering manufacturers to pursue digital transformation securely. This strategy helps maintain operational continuity and reduces long-term cybersecurity costs,” comments Andrey Strelkov, Head of Industrial Cybersecurity Product Line at Kaspersky.
To implement this strategy, manufacturing companies can leverage solutions from the Kaspersky OT Cybersecurity Ecosystem, centered around Kaspersky Industrial CyberSecurity (KICS), a native Extended Detection and Response platform designed for critical infrastructure protection. KICS enables centralised detection and response to complex attacks across the entire industrial network, ensuring comprehensive visibility and security.
Nigeria Data Protection Commission (NDPC) has commenced a forensic investigation into the University of Lagos (UNILAG), Lotus Bank and Hackerbella Ltd over alleged violations of data protection laws involving students’ personal information.
The investigation follows public complaints alleging that students’ personal data were used to open bank accounts without a lawful basis.
Dr Vincent Olatunji, national commissioner and chief executive officer of the NDPC, directed the investigation team to conduct a comprehensive assessment of the circumstances surrounding the collection, processing, use and disclosure of the affected students’ personal data.
The investigation will also determine the respective roles and responsibilities of UNILAG, Lotus Bank and Hackerbella in the alleged processing of the data.
According to the Commission, the investigation will assess the data protection compliance obligations of the parties under the Nigeria Data Protection Act, 2023 (NDP Act), as well as potential risks posed to the rights and freedoms of the affected data subjects.
The NDPC said the probe would cover several areas, including Data Protection Impact Assessments (DPIAs), the lawfulness and transparency of credit scoring or profiling activities, and the use of automated decision-making systems.
It will also examine the adequacy of privacy notices, data-sharing arrangements, lawful bases for processing, data minimisation and purpose limitation.
Other areas include data retention policies and the adequacy of technical and organisational measures put in place to safeguard the rights and personal data of affected students.
The Commission reiterated that institutions entrusted with the personal data of students, staff and other members of their communities have a heightened responsibility to ensure that such information is processed lawfully, fairly, transparently and securely.
The NDPC therefore warned educational institutions that are yet to comply with its existing data protection compliance directives to take immediate steps to achieve compliance.
The Commission said it would continue to exercise its regulatory mandate to protect the privacy rights of Nigerians and ensure that organisations processing personal data comply with the provisions of the Nigeria Data Protection Act, 2023.
Microsoft is planning to unveil its new Maia 300 AI chip this fall, potentially as soon as next month, The Information reported on Monday, citing people with direct knowledge of the plans.
The company introduced its Maia AI chip in November 2023 but has lagged rivals such as Alphabet and Amazon in scaling up its in-house chip efforts as it seeks to reduce its reliance on Nvidia’s costly processors.
Google began recognizing revenue from direct sales of its custom AI chips, called Tensor Processing Units, in the quarter ended June, while Amazon has also seen growing adoption of its processors, including its Trainium chips.
Microsoft has been in talks with chipmaker TSMC to secure manufacturing capacity for more than 300,000 units of the chip for delivery in 2027, according to the report. It is also looking to significantly ramp up production and persuade major cloud customers such as Anthropic to adopt the chip.
Microsoft ultimately aims to secure capacity for more than 1 million Maia 300 chips, though component supplies and ongoing capacity negotiations with TSMC could constrain its plans, according to the report.
It unveiled its second-generation Maia 200 in January, built by TSMC using 3-nanometer technology.
Microsoft packed the chip with a significant amount of SRAM, a type of memory that can provide speed advantages for AI systems handling large numbers of user requests.
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