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Over 40% Data Science Tasks Will Be Automated by 2020- Gartner

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More than 40 percent of data science tasks will be automated by 2020, resulting in increased productivity and broader usage of data and analytics by citizen data scientists, according to Gartner, Inc.

Gartner defines a citizen data scientist as a person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.

According to the IT research firm, citizen data scientists can bridge the gap between mainstream self-service analytics by business users and the advanced analytics techniques of data scientists.

They are now able to perform sophisticated analysis that would previously have required more expertise, enabling them to deliver advanced analytics without having the skills that characterize data scientists.

With data science continuing to emerge as a powerful differentiator across industries, almost every data and analytics software platform vendor is now focused on making simplification a top goal through the automation of various tasks, such as data integration and model building.

“Making data science products easier for citizen data scientists to use will increase vendors’ reach across the enterprise as well as help overcome the skills gap,” said Alexander Linden, research vice president at Gartner. “The key to simplicity is the automation of tasks that are repetitive, manual intensive and don’t require deep data science expertise.”

Linden said the increase in automation will also lead to significant productivity improvements for data scientists. Fewer data scientists will be needed to do the same amount of work, but every advanced data science project will still require at least one or two data scientists.

Gartner also predicts that citizen data scientists will surpass data scientists in the amount of advanced analysis produced by 2019.

A vast amount of analysis produced by citizen data scientists will feed and impact the business, creating a more pervasive analytics-driven environment, while at the same time supporting the data scientists who can shift their focus onto more complex analysis.

“Most organizations don’t have enough data scientists consistently available throughout the business, but they do have plenty of skilled information analysts that could become citizen data scientists,” said Joao Tapadinhas, research director at Gartner. “Equipped with the proper tools, they can perform intricate diagnostic analysis and create models that leverage predictive or prescriptive analytics. This enables them to go beyond the analytics reach of regular business users into analytics processes with greater depth and breadth.”

According to Gartner, the result will be access to more data sources, including more complex data types; a broader and more sophisticated range of analytics capabilities; and the empowering of a large audience of analysts throughout the organization, with a simplified form of data science.

“Access to data science is currently uneven, due to lack of resources and complexity not all organizations will be able leverage it,” said Mr. Tapadinhas. “For some organizations, citizen data science will therefore be a simpler and quicker solution their best path to advanced analytics.”

 

 


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

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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.”


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Half of Global Companies Build SOCs to Enhance Cybersecurity, with a Focus on Human Expertise

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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.

 


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Nigerian Terra Industries Secures $11.8m for Expansion

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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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