Tag: datasecurity

Generative Artificial Intelligence (AI) has quickly evolved from a novelty into a regular workplace tool. It helps with tasks such as drafting emails, summarising documents, coding, and data analysis. AI-powered platforms are changing how people work. As more employees use these tools, a less visible trend is emerging: the rise of shadow AI.

As businesses accelerate the use of generative AI tools, cybersecurity teams face a growing reality. Traditional Data Loss Prevention (DLP) controls were never designed for the way employees now use Artificial Intelligence (AI). For years, DLP strategies focused on monitoring structured data. They tracked information moving through predictable channels such as email, USB devices, printing, and file transfers.

In biology, a virus does not always destroy a cell from the outside. Instead, it injects genetic instructions into the host. It then hijacks the cell’s internal machinery. This process produces more viruses. In the digital world, prompt injection follows a similar logic. It operates with stealth and precision.

The future of Artificial Intelligence (AI) adoption lies in disciplined execution, governance and responsible implementation rather than unchecked experimentation. As enterprises accelerate the adoption of AI and agentic systems, conversations around data protection are becoming more urgent. However, organisations should avoid treating AI as an entirely new governance problem.

In 2029, tokenised transactions are expected to double in value from $283 billion in 2025 to $574 billion. This market growth largely stems from the rapid rise of mobile payments, digital transformation and expanding ecommerce activity. In addition, security, personalisation and privacy continue driving adoption. While tokenisation applies easily across multiple industries, retailers increasingly use it to secure transactions.

Software-as-a-Service (SaaS) is no longer just an IT choice. It has become the operating system of business itself. From Salesforce to Workday, Microsoft 365 to Slack, the SaaS layer now underpins collaboration, analytics and decision-making. However, while businesses enjoy the convenience, scalability and cost efficiency that these platforms provide, many overlook the hidden web of interconnected risks beneath them.

South African businesses are showing real interest in Artificial Intelligence (AI) voice agents, and for good reason. The technology has advanced significantly. These technologies can now respond quickly, hold more natural conversations and create a better, locally relevant customer experience.

We are standing at the edge of a new cybersecurity frontier. This frontier is shaped by quantum computing, Artificial Intelligence (AI) and the ever-expanding Internet of Things (IoT). It is exciting, but it is also daunting. Quantum and AI are redefining how organisations think about cyber defence.

Health data is one of the most valuable assets in modern healthcare. The Protection of Personal Information Act (POPIA) places strict requirements on its use. POPIA compliance for health data is therefore critical for all healthcare stakeholders.