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
NITDA DG Reaffirms FG Commitment to Responsible and Inclusive AI

The Federal Government of Nigeria has reaffirmed its commitment to building a responsible, inclusive, and sovereign artificial intelligence ecosystem to enable Nigeria to transition from being a passive consumer of AI technologies to an architect and builder of indigenous AI systems.

This was said by the Director General of the National Information Technology Development Agency (NITDA), Kashifu Inuwa Abdullahi CCIE, while delivering a virtual address at the InnovateAI Conference held in Lagos.
The conference brought together policymakers, technology leaders, innovators, and stakeholders to discuss the future of artificial intelligence and its role in driving Nigeria’s digital economy and national development agenda.
Inuwa outlined Nigeria’s ambition to transition from being a consumer of artificial intelligence technologies to becoming a builder and owner of AI systems that reflect national values and priorities, in line with the National AI Strategy.
“Our goal is not just to use AI, but to architect and build our own AI systems in Nigeria,” he said, stressing that the country must take ownership of its AI future.
He noted that Nigeria’s approach to artificial intelligence extends beyond innovation to include governance, infrastructure, data sovereignty, and policy evolution.
According to him, “Responsible AI is never a finished job; it is an iterative journey. Our policies must evolve as the technology evolves, and we must avoid frozen laws by adopting living policies that adapt over time.”
He cited the implementation of the Digital Economy and E-Governance Bill as a key mechanism for generating insights that will help refine AI regulations and governance frameworks.
Inuwa also highlighted the challenge of data representation in global AI systems, noting that most models are trained on non-African datasets, which often results in bias against local dialects, cultures, and demographics.
“If a model shows bias against a local dialect or demographic, we cannot just patch it. We must reinvest in infrastructure to retrain it with inclusive and representative local datasets,” he stated.
He added that building national AI infrastructure is critical to achieving data sovereignty and ensuring that Nigeria is not merely an end user of foreign AI systems.
He further called for strategic partnerships with global technology companies and hyperscalers to build AI infrastructure in Nigeria while aligning with local values and national priorities.
“The world today is a global village. We need to work with global players, but they must understand our local nuances and help us build the infrastructure to retrain and develop AI models that reflect our context,” he said.
The NITDA Director General explained that adopting a comprehensive AI lifecycle approach, from responsible data collection and governance to deployment and continuous feedback, will enable Nigeria to move from reacting to AI developments to proactively designing indigenous AI systems.
“Without understanding how AI models are trained, how decisions are made, and how models are retrained, it will be difficult to build a responsible and trustworthy AI system,” he warned.
He reaffirmed that the Federal Government is intentional about promoting responsible AI and is working closely with the technology ecosystem to co-design national AI guardrails. He described platforms such as the InnovateAI Conference and other national AI dialogues as critical to shaping Nigeria’s AI future.
E-Business
Mutual Benefits Assurance Settles ₦5.9bn Claims in January 2026

Mutual Benefits Assurance, a leading Nigerian insurance company, has paid a total of ₦5,937,665,353.57 in claims to policyholders in January 2026 alone, underlining its strong financial capacity and unwavering commitment to prompt claims settlement.

Mutual Benefits Assurance
A breakdown of the figures shows that ₦3,426,602,834.28 was paid under its General (Non-Life) Insurance portfolio, while ₦2,511,062,519.29 was paid across its Life businesses, including Group Life and Retail Life policies.
The significant payout within a single month reinforces Mutual Benefits’ reputation as a dependable insurer that honors its obligations swiftly and responsibly.
Commenting on the development, Olufemi Asenuga, Managing Director, Mutual Benefits Assurance Plc stated that claims settlement remains the core promise of insurance and the ultimate test of an insurer’s credibility.
“Insurance is built on trust. Our ability to settle over ₦5.9 billion in claims in one month demonstrates not only our financial strength, but also our deep commitment to our policyholders. At Mutual Benefits, we do not just sell policies. We stand by our promises,” he said.
With over three decades of operations, Mutual Benefits has consistently positioned itself as a strong and well-capitalised insurer.
The company operates both Life and General Insurance businesses and remains fully compliant with regulatory capital requirements as stipulated by the National Insurance Commission (NAICOM).
The January payout reflects Mutual Benefit’s robust underwriting standards, prudent risk management practices and efficient claims administration framework.
It also aligns with the company’s broader record of substantial claims settlement in recent years, reinforcing its standing as a trusted brand in the Nigerian insurance industry.
Mutual Benefits employs over 5,000 staff, managed by seasoned management team and an experienced Board of Directors. Industry observers note that prompt claims payment remains one of the most critical differentiators in Nigeria’s competitive insurance landscape.
By consistently settling valid claims without delay, Mutual Benefits continues to strengthen customer confidence, deepen market trust and expand its footprint across retail and corporate segments.
As the company begins 2026 on a strong footing, it reiterates its commitment to innovation, service excellence and delivering value to policyholders and stakeholders alike. Mutual Benefits Assurance focused on its mission to provide reliable risk protection solutions while maintaining the highest standards of professionalism and integrity.
E-Business
NITDA Warns Nigerians of Actively Exploited Microsoft Office Vulnerability

National Information Technology Development Agency (NITDA) has issued an urgent cybersecurity warning about a serious Microsoft Office vulnerability (CVE-2026-21509) that attackers are actively exploiting.

This advisory, shared through Nigeria’s Computer Emergency Response Team (CERRT.NG), highlights the risks of this flaw and recommends immediate action to protect systems.
Microsoft has released quick security updates to fix this vulnerability, which has a severity score of 7.8, showing it is a serious risk. Attackers have already used it in targeted attacks.
CVE-2026-21509 affects multiple versions of Microsoft Office, including Office 2016, Office 2019, Microsoft 365 Apps, Office 2021, and later versions.
This flaw allows attackers to bypass security features meant to stop harmful Object Linking and Embedding (OLE) controls. OLE is an older Microsoft technology that can be used to embed links or content, but it has often been exploited by malware.
By exploiting this flaw, attackers can create specially designed Office documents.
When a user opens these documents, they can run malicious code or gain further access to the system.
Exploitation requires user interaction, meaning attackers often trick people into opening harmful Word, Excel, or other Office documents. Common methods include using email attachments or files from untrusted sources.
Because Microsoft confirmed that the vulnerability is being actively exploited, they have made emergency security updates available outside their usual schedule. Users and organisations should:
- Install the latest Microsoft Office security updates for all affected versions.
- Restart Office applications for Office 2021 and later to ensure that the updates take effect.
- Use registry-based settings for protection if updates can’t be applied right away.
- Follow good cybersecurity practices, like using endpoint protection and filtering emails.
Microsoft’s updates for Office 2021 and newer versions are automatically applied, but need a restart of the applications to be active.
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