E-Business
Improve Security Posture Enabled Endpoint Detection and Response

By Jimi Falaiye
Cybercrime is big business and hackers are continually looking for new attack vectors. SophosLabs team see 400,000 new malicious samples every day; this does not mean 400,000 programmers writing code.
It means heavily automated systems. The result is bespoke malware – a virus written just for you. With that reality, the best line of defense is to use a multi-layered security strategy to work to protect organisations against both known and unknown threats.
The best endpoint technologies will protect organisations against the majority of malware and threats impacting their organisation.
But as the threat landscape evolves and cybercriminals continue to morph attacks and work to find new security holes to access organisations, the unknown minority becomes important.
Endpoint detection and response tools are about detecting that minority.
EDR tools are built to supplement endpoint security with increased detection, investigation, and response capabilities. However, EDR tools can make it difficult to understand how exactly they can be used and why they are needed.
Making matters worse, today’s EDR solutions often struggle to provide value for many organisations as they can be difficult to use, lack sufficient protection capabilities, and are resource intensive.
The good news is deep learning enabled EDR tools provide the easiest way for organisations to answer the tough questions about security incidents.
Here are the ways how deep learning enabled EDR tools help organisations to add an additional layer to their security posture.
EDR helps in generating clear view of an organization’s security posture
The hardest question for most IT and security teams is “are we secure right now?” This is because most networks have sizable blind spots that make IT and security teams struggle to see what is going on inside their environments. Lack of visibility is the primary reason why organisations struggle to understand the scope and impact of attacks.
This often manifests itself when an incident occurs and the team assumes they are safe because that incident was detected. Deep learning enabled EDR provides this additional insight as well as determines if other machines were impacted.
Generating a clear view of an organization’s security posture provides the benefit of being able to report on compliance status. This information will help identify areas that may be vulnerable to attacks. It also allows administrators to determine if the scope of an attack has impacted areas where sensitive data is housed.
It provides additional layer of detection
When it comes to cybersecurity, even the most advanced tools can be defeated given enough time and resources, making it difficult to truly understand when attacks are happening. Organisations often rely solely on prevention to stay protected, and while prevention is critical, EDR offers another layer of detection capabilities to potentially find incidents that have gone unnoticed.
Organisations can leverage EDR to detect attacks by searching for indicators of compromise (IOCs). This is a quick and straightforward way to hunt for attacks that may have been missed.
It increases response time to potential incidents
Once incidents are detected, IT and security teams usually scramble to remediate them as fast as possible to reduce the risk of attacks spreading and to limit any potential damage. On average, security and IT teams spend more than three hours trying to remediate each incident. EDR can speed this up significantly.
The first step an analyst might take during the incident response process would be to stop an attack from spreading. Analysts will often do this before investigating, buying time while they determine the best course of action.
The investigation process can be a slow and painful one. This of course assumes an investigation occurs at all. Incident response traditionally relies heavily on highly-skilled human analysts.
Most EDR tools also rely heavily on analysts to know which questions to ask and how to interpret the answers. However, with deep learning enabled EDR, security teams of all skill levels can quickly respond to security incidents thanks to guided investigations that offer suggested next steps, clear visual attack representations, and built-in expertise.
It adds expertise without adding headcount
By a large margin, organisations looking to add endpoint detection and response capabilities cite “staff knowledge” as the top impediment to EDR adoption. To combat the staff knowledge gap deep learning enabled EDR replicates the capabilities associated with hard-to-find analysts. It leverages machine learning to integrate deep security insight, so organisations can add expertise without having to add staff.
It helps in understanding how an attack happened and how to stop it from happening again
Threat cases, included with EDR, spotlight all the events that led up to a detection, making it easy to understand which files, processes, and registry keys were touched by the malware to determine the impact of an attack.
More importantly, by understanding the root cause of an attack, the IT team will be much more likely to prevent it from ever happening again.
Jimi Falaiye is the Country Manager Nigeria, Sophos.
E-Business
Firm Reveals a 37% Increase in Malicious Packages Compromising Software Supply Chains

According to Kaspersky telemetry, almost 19,500 malicious packages were found in open-source projects by the end of 2025, representing a 37% increase compared to the end of 2024.

Modern software development is inseparable from open-source components. However, open-source software may contain intentionally hidden threats which can leave the products that use malicious packages vulnerable to manipulation, including supply chain attacks. According to a new Kaspersky global study, supply chain attacks have emerged as the most common cyberthreat facing businesses over the past year.
Kaspersky reminds about high‑profile supply chain attacks that have emerged recently: In April 2026, the official website for CPU-Z and HWMonitor, free tools used by hardware enthusiasts, IT administrators and system builders worldwide to monitor hardware performance was compromised, silently replacing legitimate software downloads with malware-laced installers.
Analysis from Kaspersky GReAT showed that the compromise window was approximately 19 hours. Kaspersky telemetry detected that more than 150 victims across multiple countries faced this attack. The majority were individual users, which is consistent with the consumer-facing nature of the compromised software. Affected organisations spanned retail, manufacturing, consulting, telecommunications and agriculture.
- In March 2026, Axios, one of the most widely used JavaScript HTTP clients, was compromised. The attackers hijacked a maintainer’s account and published poisoned versions of the package (1.14.1 and 0.30.4). The malicious releases contained no harmful code in Axios itself but introduced a phantom dependency that deployed a cross-platform RAT, contacted a C&C server, and then erased traces of itself for macOS, Windows and Linux. Both versions were removed within hours, and the dependency was quickly put under a security hold. Kaspersky GReAT confirmed that the attack was not standalone – it shared tactics, techniques and procedures with Bluenoroff’s GhostCall and GhostHire campaigns, presented at the Security Analyst Summit in 2025.
- In February 2026, the developers of Notepad++, a widely used open-source text and code editor, disclosed that their infrastructure had been compromised due to a hosting provider incident. Kaspersky GReAT researchers discovered that attackers behind the Notepad++ supply chain compromise had used at least three distinct infection chains and targeted a government organisation in the Philippines, a financial institution in El Salvador, an IT service provider in Vietnam and individuals across several countries.
“According to our survey, 31% of enterprise businesses have been impacted by a supply chain attack in the past 12 months. Nevertheless, the security level of open‑source projects is not necessarily lower than that of proprietary-vendor solutions. In some cases, an active open‑source community can quickly discover and remediate vulnerabilities, whereas proprietary systems often rely on internal teams for audits.
The open‑source community strives to monitor emerging risks, cybersecurity specialists conduct researches to find vulnerabilities and malicious code in open‑source software, promptly notifying their users and the community. Completely eliminating the potential risks is impossible, but they can be minimised also with the help of security solutions and automated code‑analysis tools,” comments Dmitry Galov, Head of Kaspersky GReAT Russia and CIS.
E-Business
Data Privacy Ignorance Threatens National Security – DKIPPI

Data Knowledge and Information Privacy Protection Initiative (DKIPPI) has warned that widespread ignorance of data privacy practices is exposing Nigeria to serious national security and economic risks amid a rise in ransomware attacks.

Tokunbo Smith, president of DKIPPI, warned on Tuesday in Lagos, that the increasing frequency of ransomware incidents underscores the dangers of weak data protection systems across organisations and institutions.
He described ransomware attacks as a growing threat in which hackers infiltrate systems, demand payments and threaten to leak sensitive data.
Mr Smith said, “The cost of ignorance in data privacy is not just what you lose. It is what you expose. Data privacy has evolved beyond a technical concern to a critical governance and national development issue requiring urgent attention. Ransomware is no longer just cybercrime; it is economic warfare and a governance issue.”
Mr Smith urged both public and private sector leaders to adopt proactive and comprehensive data protection frameworks to safeguard sensitive information and strengthen institutional resilience.
He also called on government at all levels to go beyond punitive responses and implement stronger regulations, enforcement mechanisms, and national cyber resilience strategies.
According to him, DKIPPI will soon release a policy advocacy paper outlining the key risks associated with poor data protection practices.
He said the paper would highlight financial losses, institutional inefficiencies, and threats to national security, while recommending urgent reforms to procurement processes, compliance systems, and governance structures.
Mr Smith added that addressing data privacy gaps was critical to protecting Nigeria’s digital economy and restoring trust in its institutions.
E-Business
Angst as FG Drops $32.8m Fine on Meta for Data Breach

Decision to cancel the $32.8 million fine previously imposed on Meta for alleged data privacy violations was taken as far back as October 30, 2025.

The development has raised concerns over the country’s approach to data protection enforcement and regulatory transparency.
This followed a confidential, out-of-court settlement singed by Nigerian Data Protection Commission (NDPC) with Meta, effectively waiving the fine imposed earlier that year.
This deal, sanctioned by a Federal High Court, resolved disputes over behavioural advertising and user data transfers without Meta paying the penalty.
Recall that the NDPC claimed that it launched investigation in September 2023 that examined Meta’s handling of personal data from more than 60 million Nigerian users.
The NDPC had accused Meta of several breaches, including the absence of explicit consent for behavioural advertising, unauthorised cross-border data transfers, the collection of data from non-users, and the deployment of algorithms that could expose users to financial and health risks.
At the time, the regulator described the penalty as part of efforts to strengthen digital rights protections in Africa’s most populous country, aligning Nigeria with global enforcement trends in the United States, United Kingdom, and European Union, where Meta and other major technology firms have faced multibillion-dollar fines for similar violations.
However, documents from a subsequent settlement indicate that Nigeria reversed its position in October 2025.
Under the agreement, Meta was absolved of the $32.8 million penalty and required only to cover legal fees incurred by the government during court proceedings challenging the NDPC’s final orders.
The settlement was signed on 30 October 2025 and later validated by the Federal High Court in Abuja on 3 November 2025.
Despite this judicial confirmation, the terms of the agreement were not made public at the time, and only recently emerged through disclosed documentation.
The development has triggered questions about transparency in regulatory enforcement, particularly given the scale of the initial allegations and the number of affected users.
Iliya-Ezekiel Ndatse, data protection lawyer, said the outcome weakens regulatory deterrence.
“Removing penalties after such findings reduces the effectiveness of enforcement actions and weakens the credibility of compliance obligations,” he noted.
The case has also drawn comparisons with Nigeria’s previous dispute involving Twitter, now rebranded as X, which was banned in 2021 before the two parties reached a negotiated resolution.
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