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Adenmosun, Ex- Director of Bank PHB Arraigned over Alleged N26.6Bn Fraud

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Economic and Financial Crimes Commission (EFCC), Friday, arraigned Samuel Funmi Adenmosun, a former director of Bank PHB (now Keystone), before a Federal High Court, Lagos over alleged money laundering amounting to N26.6 billion.

Adenmosun, Ex- Director of Bank PHB Arraigned over Alleged N26.6Bn Fraud

Samuel Funmi Adenmosun

Adenmosun was arraigned alongside his company, Home Trust Savings and Loan Limited and a private company, Rare Properties and Development Limited.

They were arraigned before the court presided over by Justice Daniel Osiagor, on a 10-count charge bordering on Conspiracy, money laundering and fraudulent conversion of the proceeds of private placement raised from the public in the name of Investments & Allied Assurance Plc.

Earlier, Mr. Rotimi Oyedepo, EFCC prosecutor, informed the court of the 10-count charge dated January 5, 2020 and urged the court to direct that the charge be read to the defendants.

Following the reading of the charge, Adenmosun pleaded not guilty to all 10-count charge.

Following the defendant’s plea of not guilty, the prosecutor, Oyedepo, asked the court for a trial date and urged the court to remand him in custody of the Nigerian Correctional Services (NCoS), till the determination of the charge.

However, Mr. Wale Adesokan (SAN), Adenmosun’s lawyer, informed the court that a bail application dated January 13, 2022, has been filed and same has been served on the prosecution.

He urged the court to hand over Adenmosun to him assuring the court that he would always attend to his case.

But, Justice Osiagor refused the request and granted him bail in the sum of N250 million with two sureties.

Court ordered that one of the sureties must be a grade level 15 officer in either federal or state ministry, while the other surety must be a blood relation of the defendant.

The court further directed that he should be remanded in EFCC custody pending the perfection of his bail application.

Whle adjourned the matter till February 25 and March 4, 2022 for commencement of defendant’s trial.

Some of the charges against the defendant reads: “That you, Funmi Adenmosun and Home Trust Savings and Loan Limited and Rare Properties and Development Limited sometimes in 2007 in Lagos within the jurisdiction of this Honourable Court conspired amongst yourselves to ronvect the toil sum of N26, 600, 000, 000 (Twenty Six Billion, Six Hundred Million Naira} which sum you reasonably ought to have known forns part of proceeds of Fraudulent conversion of the proceeds of private placement raised from the public in the name of Investments & Allied Assurance Plc and you thereby committed an offence contrary to section 18(a) of the Money laundering Prohibition Act, 2011 as amended and punishable under section 15 (2) (b) of the same Act.

“That you Funmi Adenmosun and Home Trust Savings and Loan Limited on or about the 8 day of November, 2007, in Lagos within the Jurisdiction of this Honourable Court indirectly transferred the sum of N450,000,000.00 (Four Hundred and Fifty Five Million Naira) to Rare Properties and Development Limited which sum you reasonably ought to have known forms part of the proceeds of fraudulent conversion of the funds raised from the subscribers to the private placement conducted in the name of Investments & Allied Assurance Pic and you thereby committed an offence contrary to section 15 (2) (b) of the Money Laundering Prohibition Act, 2011, as amended and punishable under section 15 (3) of the same Act.

“That you, Rare Properties and Development Limited or about the 8 day of November, 2007 in Lagos within the jurisdiction of this Honourable Court retained the sum of N450,000,060.00 (Four Hundred and Fifty Five Million Naira) which sum you reasonably ought to have known forms part of the proceeds of fraudulent conversion of the funds raised from the subscribers to the private placement conducted in the name of Investments & Allied Assurance Plc and you thereby committed an offence contrary to section 15 (2} (d) of the Money Laundering Prohibition Act, 2011 as amended and punishable under section 15 (3) of the same Act.

“That you, Funmi Adenmosun and Home Trust Savings and Loan Limited, on or about the 9th day of November, 2007 in Lagos within the jurisdiction of this Honourabie Court indirectly transferred the sum of N610.600,000.00 (Six Hundred and Ten Million Naira) to Rare Properties and Deveapment Limited which sum you reasonably ought to have knawn forms part of the proceeds of fraudulent Conversion of che funds raised from the subscribers to the private placement conducted in the name of Investments & Allied Assurance Ple and you thereby committed an offence contrary ta section 15 (2) (b} of the Money Laundering Prohibition Act, 2011 as amended and punishable under section 15 (3) of the same Act.

“That you, Rare Properties and Development Limited on or about the 9” day of November, 2007 in Lagos within the jurisdiction of this Honourable Court retained the sum of N610,000,000,00 (Six Hundred and Ten Million Naira) which sum you reasonably ought to have known forms part of the proceeds of fraudulent conversion of the funds raised from the subscribers to the private placement conducted in the name of Investments & Allied Assurance Plc and you thereby committed an offence contrary to section 15 (2) (d) of the Money Laundering Prohibition Act, 2017 as amended and punishable under section 15 (3) of the same Act.

“That you, Rare Properties and Development Limited on or about the 12th day of November, 2007 in Lagos within the jurisdiction of this Honourable Court retained the sum of N702, 000, 000. 00 (Seven Hundred and Two Million Naira) which sum you reasonably ought to have known forms part of the proceeds of fraudulent conversion of the funds raised from the subscribers to the private placement conducted in the name of Investments & Allied Assurance Plc and you thereby committed an offence contrary to section 15 (2) (d) of the Money Launderina. Prohibition Act, 2011 as amended and punishable undef section 15 (3) of the same Act.

“That you, Funmi Adenmosun and Home Trust Savings and Loan Limited on or about the 13th day of November, 2007, within the  Jurisdiction of this Honourable Court indirectly transferred the sum of N706,000,000.00 (Seven Hundred and six million) to Rare Properties and Development Limited which you reasonably ought to have known forms part of the proceeds of fraudulent Conversion of the funds raised from the subscriber to the private placement conducted in the name of investment & Allied Assurance Plc and you hereby committed an offence contrary to section 15 (2)(4) Of the Money Laundering Prohibition Act, 2011 as amended and punishable under section 15 (3) of the same act.

“That you, Rare Properties and Development Limited on or about the 13th day of November, 2007 in Lagos, within the Jurisdiction of this Honourable Court retained the sum of N706,000,000.00 (Seven hundered and Six Million Naira) which sum you reasonsbly ought to have known forms part of the proceeds of fraudulent Conversion of the funds raised from the subscriber to the private placement conducted in the name of investment & Allied Assurance Plc and you hereby committed an offence contrary to section 15 (2)(4) Of the Money Laundering Prohibition Act, 2011 as amended and punishable under section 15 (3) of the same act.

“That you Funmi Adenmosun and Home Trust Savings and Loan Limited between 14 day of November and 31st day of Decernter 2007, wage, in ing jurisdiction of this Honourable Court indwecthy teanaforred the aggregate wen of N12, 572,001,080.00 (twelve billion, Five Hundred and Seventy Two Millon, One Thousand, eighty Naire) which you reaonably ought to have known forms part of the proceeds of fraudulent Conversion of the funds raised from the subscribers to the private placement conducted in the name of lnvestments & Allied Assurance Plc and you hereby committed an offence contrary 10 section 35 (2) (b) Of the Money Laundering Prohibition Act, 2011 as amended and punishabie Under the same Act”.

 

 

 

 


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OpenAI Launches ChatGPT Health

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OpenAI maker of ChatGPT is rolling out a health-focused feature to the generative artificial intelligence (AI) tool that’s used by nearly a billion users.

Named ChatGPT Health, the new feature aims to provide users with health and wellness information. This, as health is one of the most common ways people use ChatGPT, according to OpenAI.

In a blog post, Microsoft-backed OpenAI says de-identified analysis of conversations show that over 230 million people globally ask health and wellness-related questions on ChatGPT every week.

ChatGPT Health will also “securely” connect medical records and wellness apps to ground conversations with a user’s own health information, making responses more relevant and useful.

“Designed in close collaboration with physicians, ChatGPT Health helps people take a more active role in understanding and managing their health and wellness – while supporting, not replacing, care from clinicians.”

According to OpenAI, health information is often scattered across portals, apps, wearables, PDFs, and medical notes making it hard to see the full picture, and people are left to navigate a complex healthcare system on their own.

“ChatGPT Health builds on these so responses are informed by your health information and context. You can now securely connect medical records and wellness apps – like Apple Health, Function, and MyFitnessPal – so ChatGPT can help you understand recent test results, prepare for appointments with your doctor, get advice on how to approach your diet and workout routine, or understand the trade-offs of different insurance options based on your healthcare patterns.”

According to the company, ChatGPT Health is designed to support, not replace, medical care, adding that it is not intended for diagnosis or treatment. “Instead, it helps you navigate everyday questions and understand patterns over time – not just moments of illness – so you can feel more informed and prepared for important medical conversations.

“To keep your health information protected and secure, Health operates as a separate space with enhanced privacy to protect sensitive data. Conversations in Health are not used to train our foundation models. If you start a health-related conversation in ChatGPT, we’ll suggest moving into Health for these additional protections.”

OpenAI adds that access to ChatGPT Health has started with a small group of early users to learn and continue refining the experience, adding that users with ChatGPT Free, Go, Plus, and Pro plans outside of the European Economic Area, Switzerland, and the UK are eligible.

“As we make improvements, we plan to expand access and make Health available to all users on web and iOS in the coming weeks.

“Medical record integrations and some apps are available in the US only, and connecting Apple Health requires iOS.”


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Kaspersky Shares AI Cybersecurity Predictions for 2026

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Kaspersky experts outline how the rapid development of AI is reshaping the cybersecurity landscape in 2026, both for individual users and for businesses. Large language models (LLMs) are influencing defensive capabilities while simultaneously expanding opportunities for threat actors.

Deepfakes are becoming a mainstream technology, and awareness will continue to grow. Companies are increasingly discussing the risks of synthetic content and training employees to reduce the likelihood of falling victim to it. As the volume of deepfakes grows, so does the range of formats in which they appear.

At the same time, awareness is rising not only within organisations but also among regular users: end consumers encounter fake content more often and better understand the nature of such threats. As a result, deepfakes are becoming a stable element of the security agenda, requiring a systematic approach to training and internal policies.

Deepfake quality will improve through better audio and a lowering barrier to entry. The visual quality of deepfakes is already high, while realistic audio remains the main area for future growth.

At the same time, content generation tools are becoming easier to use: even non-experts can now create a mid-quality deepfake in just a few clicks. As a result, the average quality continues to rise, creation becomes accessible to a far broader audience, and these capabilities will inevitably continue to be leveraged by cybercriminals.

Online deepfakes will continue to evolve but remain tools for advanced users. Real-time face and voice swapping technologies are improving, but their setup still requires more advanced technical skills. Wide adoption is unlikely, yet the risks in targeted scenarios will grow: increasing realism and the ability to manipulate video through virtual cameras make such attacks more convincing.

Efforts to develop a reliable system for labelling AI-generated content will continue. There are still no unified criteria for reliably identifying synthetic content, and current labels are easy to bypass or remove, especially when working with open-source models. For this reason, new technical and regulatory initiatives aimed at addressing the problem are likely to emerge.

Open-weight models will approach top closed models in many cybersecurity-related tasks, which create more opportunities for misuse. Closed models still offer stricter control mechanisms and safeguards, limiting abuse.

However, open-source systems are rapidly catching up in functionality and circulate without comparable restrictions. This blurs the difference between proprietary models and open-source models both of which can be used efficiently for undesired or malicious purposes.

The line between legitimate and fraudulent AI-generated content will become increasingly blurred. AI can already produce well-crafted scam emails, convincing visual identities, and high-quality phishing pages.

At the same time, major brands are adopting synthetic materials in advertising, making AI-generated content look familiar and visually “normal.” As a result, distinguishing real from fake will become even more challenging, both for users and for automated detection systems.

AI will become a cross-chain tool in cyberattacks and be used across most stages of the kill chain. Threat actors already employ LLMs to write code, build infrastructure, and automate operational tasks.

Further advances will reinforce this trend: AI will increasingly support multiple stages of an attack, from preparation and communication to assembling malicious components, probing for vulnerabilities and deploying tools. Attackers will also work to hide signs of AI involvement, making such operations harder to analyse.

“While AI tools are being used in cyberattacks, they are also becoming a more common tool in security analysis and influence how SOC teams work. Agent-based systems will be able to continuously scan infrastructure, identify vulnerabilities, and gather contextual information for investigations, reducing the amount of manual routine work.

“As a result, specialists will shift from manually searching for data to making decisions based on already-prepared context. In parallel, security tools will transition to natural-language interfaces, enabling prompts instead of complex technical queries,” adds Vladislav Tushkanov, Research Development Group Manager at Kaspersky.

 


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Nigerians with Albinism Reject Pity, Demand Dignity at Empowerment Forum

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Nigerians living with albinism say their biggest challenge is not skin sensitivity or poor eyesight, but being seen, heard and treated as full human beings, a message that resonated at a recent empowerment session hosted by the Consumer Advocacy and Empowerment Foundation (CADEF) and Albino Empowerment Foundation.

Nigerians with Albinism Reject Pity, Demand Dignity at Empowerment Forum

CADEF

The event last Saturday focused on lived experiences, self-advocacy and rights awareness rather than handouts, though participants received food, protective clothing and skin/eye care materials.

CADEF Executive Director, Prof. Chiso Ndukwe-Okafor, said real progress requires respect and inclusion, not pity, adding that knowledge of human rights equips people to demand fairness.

“Dignity begins when people are seen fully and treated equally,” she said.

Ifeoma Ngesina, founder of Albino Empowerment Foundation, defined inclusion as equal rights and participation in decisions affecting their lives, not stereotypes.

“When persons with albinism are included in schools, workplaces, leadership and media, harmful myths fade,” she said, stressing it builds confidence and leadership.

CADEF Advisory Board Member, Ms Kobi Ikpo, urged participants to own their narrative: “If you do not tell people how to treat you, they will not know how to address you. Once you accept yourself as a complete human being deserving of respect, it reflects in how you carry yourself — and that confidence commands respect.”

Afolake Odudinu highlighted parental ignorance leading to school dropouts, skin damage from sun exposure and social/marital stigma, noting skin cancer treatment remains inaccessible for many.

Efosa Peter, a father and associate pastor, rejected pity for genuine empowerment: “I hate pity. I don’t want to be pitied — I want empowerment.” He described persons with albinism as creatively gifted and warned against insincere initiatives.

“Empowerment must include self-esteem and self-motivation. When you see yourself as whole, others will follow,” he said.

Teacher Rose Adudu shared overcoming school bullying through discipline and advocacy, helping enrol a young albino girl in school despite later parental withdrawal.

“Your character will speak for you,” she said.

Participants were encouraged to use content creation for education and myth-busting, with CADEF planning annual events and advancing Digital Financial Inclusion Rights for Persons With Disabilities.

The forum underscored a core demand: opportunity, understanding and respect over sympathy.


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