Telecom
Six Menacing AI Threats List You Need to know

By the end of this year already, the market for artificial intelligence (AI) in South Africa is projected to reach a size of $2.4 billion, showing an annual growth rate of 21% between now and 2030. Locally, the technology has the potential to mitigate security risks, enhance decision-making, address legacy challenges, and have a significantly positive societal impact. Despite the impressive applications and implications, Anna Collard, SVP Content Strategy & Evangelist at KnowBe4 AFRICA, warns of the associated risks that need to be considered.

“Generative AI models are trained on data from various sources,” she explains, highlighting that these sources are not all verified, lack sufficient context, and are not regulated. “AI is incredibly helpful in handling the mundane administrative tasks associated with spreadsheets and statistics. However, it becomes concerning when we rely on it to make decisions that have the potential to influence people’s lives.”
AI is an algorithmic construct built on the bones of human creative endeavours and data that is often flawed and biased. “As Kate Crawford, a professor at the University of Southern California and Microsoft researcher, pointed out, AI is not truly artificial or intelligent. This poses risks that can have long-term consequences if users are unaware of them,” explains Collard.
Here are six of the most concerning risks:
01: AI hallucinations: Earlier this year, a New York attorney used a conversational chatbot for legal research. The AI deceitfully incorporated six fabricated precedents into his filing, falsely attributing them to prominent legal databases. This is a perfect example of an AI hallucination, where the output is either fake or nonsense. These incidents happen when prompts are outside of the AI’s training data and so the model hallucinates or contradicts itself in order to respond.
02: Deepfakes: The implications of fake images extend to various areas. With the rise of fake identities, revenge porn, and fabricated employees, the range of potential misuse for AI-generated photographs is expanding. One particular technology called Generative Adversarial Network (GAN) is a type of deep neural network capable of producing new data and generating highly realistic images by using random input. This technology opens up the realm of deepfakes, where sophisticated generative techniques manipulate facial features and can be applied to images, audio, and video. This form of digital puppetry carries significant consequences in political persuasion, misinformation or polarization campaigns.
03: Automated and more effective attacks: This taps directly into the potential of GAN mentioned before, as cybercriminals make use of deepfakes in more sophisticated attacks. They use it in impersonation attacks, where fake voice or even video versions of someone can be used to manipulate victims into paying or following other fraudulent instructions. Cybercriminals also benefit from jailbroken generative AI models to help them automate or simplify their attach methods, such as for example automating the creation of phishing emails.
04: Media equation theory: This refers to the fact that human beings have a tendency to attribute human characteristics to machines and develop feelings of empathy towards them. This tendency becomes even stronger when the interactions with machines seem intelligent. Although this can positively impact user engagement and support in the service sector, it also carries a risk. People become more vulnerable to manipulation, persuasion, and social engineering because of this over-trust effect. They tend to believe and follow machines more than they should. Research has shown that people are likely to alter their responses to queries in order to comply with suggestions made by robots.
05: The manipulation problem: AI, through the use of natural language processing, machine learning, and algorithmic analyses, can both respond to and simulate emotions. By gathering information from various sources, agenda driven AI chatbots for example can promptly react to sensory input in real time and utilise it to accomplish specific objectives, such as persuasion or manipulation. These capabilities create opportunities for the dissemination of predatory content, misinformation, disinformation, and scams.
06: Ethical issues: The presence of bias in the data and the current absence of regulations regarding AI development, data usage, and AI application all raise ethical concerns. Global efforts are underway to tackle the challenge of ethics in AI and reduce the risks of AI poisoning, which entails manipulating data to introduce vulnerabilities or biases. “However, South Africa currently lacks momentum in addressing these issues. This must change, as managing and detecting the risk of polluted AI data before it causes long-term harm is essential.” Says Collard.
“It is important to be mindful of the information we share with AI chatbots and virtual personal assistants. We should always question how our data is being used and by whom,” concludes Collard. “There is a risk of sharing sensitive personal and business information with data training models.
“While AI is a valuable tool, it is crucial to use it with critical thinking and mindfulness, and only rely on it in situations where it provides the most value and has been fact checked.”
Telecom
Court Bans Kenyan Telcos from Recycling SIM Cards

Kenya’s High Court has ruled that mobile phone numbers are not disposable assets, but constitutionally protected digital identifiers, striking at the core of a long-standing industry practice of arbitrarily reassigning inactive SIM cards without the owners’ consent.

In a landmark decision that could reshape telecom regulation and digital identity frameworks across Africa, sitting at Milimani Law Courts in Nairobi, Justice Lawrence Mugambi declared that reassigning a phone number without the original owner’s consent violates the right to privacy.
The ruling effectively elevates a SIM card into the same legal category as personal data tied to an individual’s private life.
At the heart of the ruling is Article 31 of the Constitution, which safeguards citizens from unnecessary disclosure of private information and interference with communications.
The court found that in today’s digital economy, a registered mobile number functions as a critical gateway to sensitive personal data, linking users to mobile money platforms like M-PESA, banking systems, email accounts, and social media profiles.
“When mobile digital identity is lost through reallocation or recycling without interrogating the reasons behind inactivity, it creates an avenue for unauthorised disclosure of delicate information,” the judgment stated.
The case, brought by Erastus Ngura Odhiambo, petitioner and former prisoner, challenged the routine telecoms practice of deactivating SIM cards after prolonged inactivity and reassigning them to new users.
Odhiambo lost access to his mobile phone number due to inactivity while serving his lengthy sentence.
He argued that the practice exposes individuals to serious risks, including misdirected financial transactions, intercepted one-time passwords, and unintended access to private communications.
The court agreed, highlighting how recycled numbers can result in strangers receiving confidential messages, authentication codes, and even being added to private messaging groups, effectively inheriting fragments of another person’s digital life.
Justice Mugambi also criticised the rigidity of SIM deactivation policies, calling them “arbitrary” for failing to consider legitimate reasons for inactivity such as incarceration, studying in restricted environments, or living abroad.
“Incarceration does not strip an individual of their constitutional rights to privacy and identity,” he noted.
For telecom operators, including Safaricom, the ruling introduces a significant compliance burden. The court outlined three strict conditions before any number can be reassigned.
Telcos must obtain informed and verifiable consent from the original owner, issue a public notice and conduct traceability efforts over a reasonable period.
More importantly, the court further directed that telecoms firms must implement technical safeguards to prevent data exposure to the new user.
The Office of the Attorney General has been given six months to translate these directives into enforceable regulations.
Telecom
Binance Earn: Simple Way to Earn Rewards on Idle Crypto Holdings

Binance Earn offers cryptocurrency users an accessible way to generate rewards on idle digital assets without active trading or constant market monitoring.

Binance Earn
As the crypto market matures, more holders seek productive uses for their assets rather than leaving them dormant in wallets. Binance addresses this through Binance Earn, where users allocate supported cryptocurrencies to various reward products for automatic yield generation.
The platform emphasises simplicity with a “set-and-forget” model: users select assets, pick a product, and rewards accrue passively in the background. This appeals especially to long-term holders aiming to enhance portfolio value over time without day-to-day involvement.
Binance Earn provides flexible options for instant liquidity access alongside fixed-term products for defined commitments, catering to diverse strategies and risk appetites.
“We’re seeing growing interest across Africa in ways to make crypto holdings more productive without active trading,” said Larry Cooke, Africa Head of Legal at Binance. “Simple, ‘set-and-forget’ solutions are becoming increasingly relevant as more users take a longer-term approach to digital assets.”
The feature reflects shifting user behaviour towards holding and gradual growth amid volatile markets, where reward rates fluctuate based on conditions, liquidity, and structures.
Users must assess risks and alignment with personal goals, as crypto remains volatile. Binance Earn positions itself as a key tool in Africa’s rising digital asset adoption, enabling hands-off participation in the ecosystem.
Telecom
New Gmail Scam Mimics Security Alerts to Steal User Data

Cybersecurity researchers at Malwarebytes Labs have exposed a sophisticated new Gmail scam where fraudsters send fake Google security alerts via phishing emails, texts, and pop-ups, tricking users into a deceptive four-step verification process that harvests login credentials, GPS locations, contacts, and other sensitive data for account takeovers.

Gmail
Disguised as routine checkups, these alerts mimic Google’s official pages to create urgency, prompting victims to install malicious “security tools” that grant hackers real-time access to Gmail and linked services—Corey Donovan, president of Alta Technologies, warns legitimate checks never come unsolicited or demand downloads, urging users to close suspicious prompts immediately and verify via official Google account pages instead.
The scam’s rise amplifies risks during travel, where public Wi-Fi hotspots—especially “evil twin” fakes like slight misspellings of “Airport_Free_WiFi”—enable interception of banking details, emails, and malware installs; Donovan advises disabling auto-connect, using VPNs for HTTPS sites only, avoiding logins altogether, and crafting strong passwords with mixed characters plus two-factor authentication.
Shoulder surfing on public transport and outdated devices compound threats, as fraudsters glimpse screens or exploit unpatched vulnerabilities—keeping phones updated with post-update privacy reviews limits app access to location or commutes, while skipping work emails in view maintains confidentiality on the go.
Nigeria’s heavy reliance on digital banking and crypto heightens vulnerability, as scammers exploit rushed travellers; Donovan stresses: “Cybercriminals target busy airports and stations knowing guards drop—stay cautious, update devices, lock privacy, and never rush links to protect against these advanced breaches.”
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