Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Africa's banks must recognize that trust is at the root of fraud prevention

As digital fraud rises across Africa, INETCO’s Eren Ramdhani explains why banks must rebuild trust through real-time, AI-driven fraud systems. Article by cybersecurity leader and INETCO’s Chief Product Officer, Eren Ramdhani Trust is the most valuable currency in today’s digital economy. For banks, it determines whether customers feel confident enough to save, invest, and transact. Yet across Africa, millions of people face daily fraud attacks that threaten that trust.

What Technologies Make Online Money Transfers Secure?

A 2022 report by the Bank for International Settlements suggests that about $7.5 trillion is transferred daily around the globe. For context, the U.S. federal government spent $7.01 trillion in its 2025 fiscal year, which ran from October 2024 to September 2025, according to the U.S. Treasury Fiscal Data. Basically, this implies that about 7% more money is traded on the foreign exchange market daily than the U.S federal government spends annually.

Half of Young People in the UK Cite Non-Consensual Deepfakes as a Top Fear

A new survey found that 50% of UK residents aged 16 to 34 cite deepfake nudes as their top worry related to AI technology, SecurityBrief reports. The survey, published by VerifyLabs, found that 35% of Brits across all age groups said sexualized deepfakes of themselves or their children were their top concern. “The study indicated that more than one in three respondents (36%) are also worried about the impact deepfakes could have on their family and friends,” SecurityBrief writes.

Key Strategies That Improve Fraud Detection in Financial Institutions

Fraud detection in financial institutions has become increasingly important as technology continues to evolve and cyber threats grow more sophisticated. Consistent innovation in detection strategies can significantly enhance an institution's ability to identify and mitigate risks. Financial entities must develop and implement systems that detect fraud and predict potential future threats. Through data analysis, machine learning, and collaboration, organizations are better equipped to combat fraud effectively.

A Surge in Text Message Scams Targets Younger Americans

A new report warns of a significant spike in SMS phishing (smishing) scams targeting younger Americans between 18 and 29 years old. The report, released by Consumer Reports, Aspen Digital and the Global Cyber Alliance, also found that 30 percent of people who experienced a cyberattack or scam this year said it began over a text message or a messaging app, compared to 20 percent last year.

Why you keep getting job scam texts

Job scam texts are blowing up phones everywhere, and they’re only getting sneakier. Stay one step ahead by keeping the fakes out, and help keep your information safe with Avast Mobile Security. You’re in line for coffee when your phone buzzes: “Hi! We reviewed your profile for a remote job. $1,200/week, no experience needed! Text YES to learn more.” Looks tempting at first glance, right? But if your scam radar isn't going off yet, it should be.

Warning: Job Scams Surge by More than 1000%

Job-related scams surged by more than one thousand percent between May and July 2025, according to new research from McAfee. Job seekers are particularly vulnerable to scams, since they’re expecting to receive unsolicited messages and are more likely to overlook red flags. The researchers offer the following advice to help users avoid falling for these attacks: The researchers conclude that awareness is an essential layer of defense against social engineering attacks.

The Security Paradox of AI Video Generation: Why ChatGPT's Sora2 Access Demands New Digital Verification Standards

The launch of OpenAI's Sora2 model has fundamentally transformed the landscape of AI-generated video content. As the successor to the groundbreaking Sora, this advanced text-to-video AI system can now produce photorealistic video sequences up to 20 seconds long from simple text descriptions.