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6 Disruptive Influences of Artificial Intelligence

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The world has gone digital. In fact, we are approaching the Fourth Industrial Revolution, also described as Industry 4.0: an age in which a range of new technologies is expectedly fusing the physical, digital and biological worlds in addition to impacting all disciplines, economies and industries.

This is an age marked by emerging technology breakthroughs in a number of fields, including artificial intelligence, robotics, augmented reality, nanotechnology, quantum computing, biotechnology, The Internet of Things, 3D printing and driver-less vehicles, among others.
One of these emerging technologies, Artificial intelligence or AI, as it is commonly referred to, has the potential to cause significant disruptions to many established industries, presenting amazing new ways for business leaders and individuals to simplify complex tasks.

According to the Research and Development Unit of Yudala, Nigeria’s fastest growing e-commerce outfit, here are six ways Artificial Intelligence will shake up things in the corporate world.

Double-edged impact on jobs and employment opportunities
Artificial intelligence promotes the growing reliance on machines which possess the ability to perform a wide range of physical and cognitive tasks, admittedly with more efficiency and accuracy.
This poses a great deal of concern for the future as these machines may put many jobs at risk and ultimately reduce human employment.
While these concerns are legitimate, research posits that the rise of artificial intelligence and automation may, nevertheless, have a double-edged impact on employment: negative and positive.
In the negative sense, AI may displace humans by directly replacing them in tasks previously performed by these workers.
On the positive side, the deployment of machine learning and artificial intelligence may end up increasing the demand for labour in other industries or create new jobs or openings as a result of automation.

Data analysis and presentation
With the emergence of machine learning which is a direct off-shoot of artificial intelligence, the task of crunching numbers, analyzing data and presenting this as useable information just got easier.
A single supercomputer using artificial intelligence running on continuous machine learning will definitely out-perform the work of ten or more humans working with spreadsheets to analyze and interpret the same amount of data.
Most machine learning apps have the capability of, not only analyzing huge amounts of data in record times, but also reducing errors to the barest minimum –  a factor that makes them logically preferable to high-cost and error-prone human accounting or consultancy teams.

Budgeting
Closely related to the foregoing is the refinements and research-backed approach to the process of budgeting which AI lends.
For most businesses, budgeting is often carried out haphazardly on a yearly basis, with funds allocated in similar patterns to various activities and business units.
This inadvertently results in a situation where certain business units get more working capital while other units which yield more returns struggle with the meagre figures allocated to them.
By deploying artificial intelligence, business leaders can generate valid information on the performances of various business units and gauge more accurately the returns on the investments made on specific activities.
This will potentially cause a major overhaul of existing budgeting systems used by corporate organizations and bring more value and objectivity to the entire process.

More personalized marketing
The exciting benefits of artificial intelligence will also be keenly felt in the field of marketing, as advances in the field will usher in landmark advances in the marketing value chain, leading to more personalized experiences for consumers.
Through AI tools, marketing will assume an automated dimension, enabling companies to deliver a richer, more personalized experience for all classes of consumers and resulting in stronger connections between brands and consumers.
Ultimately, these new approaches will build brand affinity/loyalty and positively impact bottom lines. Presently, a number of organizations are deploying artificial intelligence principles to simplify the processes involved in various branches of marketing including email marketing, SEO, mobile, social media, among others.
Global e-commerce giant, Amazon, is playing a leading role in this aspect –  a step that is on the verge of being replicated by Yudala – by relying on a series of algorithms to determine what customers are likely to buy or require next, with these suggestions and creatives sent to the target customers via customized emails in a process that is entirely automated.

Recruitment/Human Resources
AI will radically transform the recruitment and human capital management function by infusing more objectivity and transparency into the entire process.
This will equip business leaders or owners with the requisite insight to take more informed decision on hiring, compensation, promotion and gender pay disparity/biases in the work-place.
By leveraging the benefits of advanced statistical tools and machine learning, AI can help organizations recognize and reward performance more objectively among the entire work-force through the detection and elimination of partiality, imbalances and subjective appraisals.

Banking and finance
The entire financial services sector will also be disrupted by the emergence of artificial intelligence solutions and applications.
 A recent research survey carried out by The Economist revealed that 49% of banking executives believe the traditional transactional banking model will be dead by 2020.
Through AI, banks, insurance companies, asset/wealth management firms and capital markets will have a plethora of cutting-edge tools that will streamline and bring unimaginable simplicity and ease to their core financial processes and customer service offerings.
The potential is limitless. Robo-advisors are being mooted in the sphere of asset management; banks will expectedly rely on chatbots to boost customer experience while other AI tools will simply thorny reconciliations, reporting of earnings, financial analysis and asset allocation, among others.
AI will also help insurance firms process claims, streamline their processes and uncover fraud. Understandably, a number of financial institutions are awake to this reality, head-hunting and mopping up fintech talents, in a sort of arms race to ensure they are not left behind in the sweeping wave of tech-mediated changes that is afoot in the sector.

What is Artificial intelligence
Artificial intelligence (AI), also known as machine intelligence, MI) is intelligence exhibited by machines, rather than humans or other animals (natural intelligence, NI).

In computer science, the field of AI research defines itself as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of success at some goal.

Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”. AI research is divided into subfields that focus on specific problems, approaches, the use of a particular tool, or towards satisfying particular applications.

Artificial intelligence is not one technology but rather a group of related technologies – including natural language processing (improving interactions between computers and human or “natural” languages); machine learning (computer programs that can “learn” when exposed to new data) and expert systems (software programmed to provide advice) – that help machines sense, comprehend and act in ways similar to the human brain. 

These technologies are behind innovations such as virtual agents (computer-generated, animated characters serving as online customer service representatives); identity analytics (solutions combining big data and advanced analytics to help manage user access and certification) and recommendation systems (algorithms helping match users and providers of goods and services) which have already transformed the ways in which companies look at the overall customer experience.


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Kaspersky Reports 15% Growth in Malicious email Attacks in 2025

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According to Kaspersky telemetry, almost every second email – 44.99% of global traffic – was spam in 2025. Spam consists not only of unsolicited emails, but can also include various email threats such as scam, phishing and malware.

In 2025, individuals and corporate users encountered over 144 million malicious and potentially unwanted email attachments, representing a 15% increase compared to the previous year figures.

In 2025, APAC had the largest share of email antivirus detections: it reached 30%, followed by Europe with 21%. Next came Latin America (16%) and the Middle East (15%), Russia and CIS (12%) and Africa (6%). As for individual countries, China had the highest rate of malicious and potentially unwanted email attachments, with the share of email antivirus detections of 14%. Russia ranked second (11%), followed by Mexico (8%), Spain (8%) and Turkey (5%).

Email antivirus detections peaked moderately in June, July and November.

Key trends in email spam and phishing

Kaspersky’s annual analysis has also identified several persistent trends in the email spam and phishing threat landscape that are expected to continue into 2026:

  • Combination of various communication channels. Attackers lure email users into switching to messengers or calling fraudulent phone numbers. For instance, scam investment mailings may redirect victims to fake websites, where they are asked to provide their contact information, and then cybercriminals will follow up with a phone call.
  • Usage of diverse evasion techniques in phishing and malicious emails. Threat actors frequently try to disguise phishing URLs, for example, with the help of link protection services and QR codes. These QR codes are often embedded directly in email bodies or within PDF attachments, which not only conceals phishing links but also encourages users to scan them on mobile devices, potentially exploiting weaker security measures than corporate PCs.
  • Mailings exploiting diverse legitimate platforms. For example, Kaspersky experts discovered a fraudulent tactic that abuses OpenAI’s organisation creation and team invitation features to send spam emails from legitimate OpenAI addresses, potentially tricking users into clicking scam links or dialing fraudulent phone numbers. Additionally, a calendar-based phishing scheme, which originated in the late 2010s, resurfaced last year with a focus on corporate users.
  • Refining tactics in business email compromise (BEC) attacks. In 2025 attackers attempted to become even more persuasive by incorporating fake forwarded emails into their correspondence. These emails lacked thread-index headers or other headers, making it difficult to verify their legitimacy within an email conversation. 

“Email phishing shouldn’t be underestimated. Our report reveals that one in ten business attacks starts with phishing, with a significant proportion being Advanced Persistent Threats (APTs). In 2025, we saw an increase in the sophistication of targeted email attacks. Even the smallest details are meticulously crafted in these malicious campaigns, including the composition of sender addresses and the tailoring of content to real corporate events and processes.

“The commodification of generative AI has significantly amplified this threat, enabling attackers to craft convincing, personalised phishing messages at scale with minimal effort, automatically adapting tone, language and context to specific targets,” comments Roman Dedenok, anti-spam expert at Kaspersky.

 


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Cybersafe Foundation Partners Google to Strengthen Cybersecurity Among CCIs in Africa

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The Cybersafe Foundation has collaborated with Google in strengthening cybersecurity resilience among Critical Community Institutions across Nigeria, Kenya, Ghana and South Africa with the launch of Resilio Africa.

 

Speaking at the event in Lagos, Confidence Staveley, Executive Director of the Cybersafe Foundation, noted that while many organizations recognize the risks posed by cyber threats, conversations often stall when it comes to implementation.

“Across Africa, Critical Community Institutions are facing an increase in cyberattacks often without the capacity to defend themselves. Sub-Saharan Africa is now experiencing some of the most aggressive cyber activity globally. According to a threat report by Kaspersky, the region recorded over 42 million web attacks and 95 million malware-based, on-device attacks in just the first half of 2025.

“What’s especially concerning is the nature of these attacks: spyware, password stealers, and backdoor tools dominate, with password-stealing malware increasing by more than 60%.

“In East Africa, the scale is even more stark. Kenya alone recorded 2.5 billion cyber-threat events in Q1 2025, driven largely by phishing, mobile money fraud, and misconfigured cloud services,” she stated.

According to her, the primary barrier is not a lack of willingness but limited financial capacity to fund adequate cybersecurity measures.

“The conversation drops off at the point of taking action,” she said, explaining that many institutions lack the budgets required to implement robust security systems.

She disclosed that the programme’s provision of 10,000 hours of expert cybersecurity consultation—offered at no cost to participating institutions would ordinarily represent services valued at over one million dollars. The support, funded through a grant from Google.org, will be delivered by specialists across four participating countries.

Staveley reaffirmed that the Cybersafe Foundation remains a non-profit organization focused on supporting vulnerable communities and institutions, and described Resilio Africa as a strategic intervention aimed at strengthening digital trust across the continent, ensuring that commerce and essential public services can operate securely in an increasingly digital society.

Although the programme currently covers Nigeria, Kenya, Ghana and South Africa, Staveley acknowledged that the cybersecurity challenges extend far beyond those countries, and expressed hope that demonstrated impact from the initial phase would attract additional funding to scale the initiative to more than the 200 critical community institutions currently targeted, including underserved Francophone nations.

“This work is free to the organizations we serve, but it is not free to deliver,” she noted, underscoring the need for sustainable funding.

Explaining her personal motivation, Staveley said she views Africa’s cybersecurity challenges as opportunities for impact. Despite her engagements on global platforms, she emphasized her commitment to Nigeria and the broader African continent, describing the region as both home and a priority.

She pointed to a growing mismatch between rising cyber threats and limited investment in cybersecurity infrastructure, arguing that bridging this gap is central to the Foundation’s mission.

Staveley also clarified that Resilio Africa will not collect or own user data from participating institutions. Instead, the programme will focus on strengthening internal controls, building capacity and guiding organizations toward improved data protection practices.

With Resilio Africa now underway, the Cybersafe Foundation aims to demonstrate how targeted support for critical community institutions can enhance digital security and build long-term resilience across Africa’s rapidly expanding digital economy.


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Kaspersky Brings more Transparency to Threat Detection with New Hunt Hub

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Kaspersky has announced a major update to its Threat Intelligence Portal (TIP), introducing a new Hunt Hub section alongside an enhanced MITRE ATT&CK coverage map and a significantly expanded vulnerabilities database.

The update strengthens organisations’ ability to investigate threats, understand adversary behaviour, and proactively monitor the most relevant risks across their environments.

According to the Kaspersky Security Bulletin 2025 report, Kaspersky’s detection systems discovered an average of 500,000 malicious files per day in 2025, marking a 7% increase compared to the previous year. As cyberattacks become more sophisticated and frequent, security teams need more than alerts – they need clarity.

The newly launched Hunt Hub is designed to address growing market demand for greater transparency and deeper insight into how modern detection technologies work. Integrated into the Threat Landscape section of the Threat Intelligence Portal, Hunt Hub provides centralised access to Kaspersky’s threat hunting expertise and detection knowledge.

Hunt Hub includes Kaspersky Next EDR Expert hunts, also known as indicators of attack (IoA) or detection rules. All portal users can explore the catalogue of hunts and their descriptions, while Kaspersky Next EDR Expert customers gain extended access to detailed recommendations and detection logic presented in a convenient, SIGMA-like format. Each hunt is mapped to relevant MITRE ATT&CK tactics and techniques and linked to known threat actors, giving analysts clear context behind every detection.

By making detection logic visible and structured, Hunt Hub effectively removes the “black box” from threat detection. It allows security teams not only to respond to alerts, but also to understand why a detection was triggered and which threat it is designed to uncover – improving trust in security technologies and increasing the efficiency of threat investigation processes.

As part of the update, the MITRE ATT&CK coverage map within the Threat Landscape has been significantly enhanced. The portal now brings together product coverage across SIEM, EDR, NDR and Sandbox solutions, MITRE ATT&CK techniques with scoring, coverage percentages, and related Kaspersky Next EDR Expert hunts in a single, unified view. This enables organisations to assess how well their security stack covers relevant attack techniques and identify potential gaps in protection.

The Vulnerabilities section has also been expanded, with the CVE database now covering nearly 300,000 vulnerabilities. In addition, the portal provides more detailed information on vulnerabilities that have been exploited in real-world attacks, helping organisations prioritise remediation efforts based on actual threat activity.

“With the launch of Hunt Hub in the Kaspersky Threat Intelligence Portal, we are opening up our detection expertise and giving analysts clear visibility into how and why threats are detected. This transparency helps organisations move from reactive alert handling to informed threat hunting and proactive risk management,” comments Nikita Nazarov, Head of Threat Exploration at Kaspersky.

 


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