E-Business
Strike: Buhari Orders Fresh Integrity Test on IPPIS, UTAS, U3PS

President Muhammadu Buhari has directed the National Information Technology Development Agency (NITDA) to subject the Integrated Payroll Personnel Information System (IPPIS) and the two other proposed payment solutions proposed by University workers to fresh integrity test

This is in a bid to end the lingering strike action where Academic Staff Union of Universities (ASUU) is demanding among other things the replacement of IPPIS with UTAS.
NITDA earlier claimed that the University Transparency Accountability Solution failed three integrity tests.
But ASUU which has been on strike since February 14, claimed that UTAS was developed to address the peculiarities of the university system which the IPPIS failed to do.
ASUU expressed worry that despite subjecting UTAS to the integrity test twice, the Nigerian Information Technology Development Agency, which scored the software over 90 per cent, misled the public that UTAS failed the tests.
The body challenged NITDA to subject IPPIS to the same integrity test, warning that if the agency failed to heed their call, ASUU would be left with no option but to expose the politicians behind IPPIS, who are feeding on it.
Earlier, Kashifu Inuwa, director-general of NITDA, said the University Transparency Accountability Solution failed three integrity tests.
According to him, the tests were meant to qualify UTAS — which was brought forward by the Academic Staff Union of Universities — as an alternative payment platform to the IPPIS.
Inuwa said ASUU is currently reviewing the system.
“When we received the request to review UTAS, you know, building a complex system like UTAS that involves employees’ personal data, and also payment system, we have to subject it to best practice tests before approving,” he said.
“Normally, when we are reviewing that kind of system, we perform three tests. Firstly, because when you’re building system, it’s not just about the technology, you need to consider the people that will use this system and the process. You need to get the business requirement. What do you want to achieve? So, it’s not the technology that will come first; it is the business requirement. Then, you need to identify the capabilities you need to achieve that your business objective.
“Part of the capability is the technology you need to bring in and the people that will operate the technology, because technology is always a tool that will help you to achieve an objective or to do your work. If you bring the tool before knowing what to do with it, it will be useless.”
He said NITDA conducted a user acceptance test, a vulnerability test to check for possibility of hacking, and a stress test to prevent the system from crashing.
“We did all these three tests with them and the system couldn’t pass. We wrote the reports and submitted it back to the honourable minister, which he forwarded to all relevant institutions, including ASUU. As we speak now, ASUU is working, trying to fix all the issues we highlighted with the system and we will review it again. But that is just one half of the story,” he said.
“The second half of the story is that we need to find where to put that system like IPPIS. We have a data centre built for it. That means we need to have the data centre, and we need to check to make sure it meets minimum requirement, because if you put people’s information and the system crashes, how can you pay them salary?
“There are a lot of things to do. As we speak, they’re trying to fix all the issues we highlighted with the system.”
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.
E-Business
NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

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.
E-Business
Microsoft to Unveil Next-generation AI Chip in September

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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