Tag: cybersecurity
PHP2Shell vulnerabilities – can you patch fast enough?
October brought a wave of critical security vulnerabilities that tested how rapidly South African companies could respond. On Tuesday 20 October, details of two critical flaws in PHP, a programming language that powers millions of websites and online applications, leaked online before fixes became available. The PHP project issued emergency patches the following day. That same Wednesday, Node.js repaired ten vulnerabilities.
POPIA breach – when inaction cost R500,000
An internal data breach, even an accidental one, can trigger formal breach notification obligations under the Protection of Personal Information Act (POPIA). The Information Regulator recently fined Central Johannesburg TVET College R500,000 for failing to comply with an enforcement notice. This decision shows that organisations must also complete the corrective actions that the Regulator requires.
AI notetakers – can convenience cost confidentiality?
Every meeting is now recorded and transcribed by an Artificial Intelligence (AI) notetaker, but nobody knows where the files reside or who has copied them. In August 2026, Dark Reading discovered a vulnerability in tl;dv’s backend. It allowed an authenticated user to access meeting information belonging to other customers. The vulnerability put more than 180,000 meeting records across 80,000 or more users at risk.
Cyberattack aftermath – can you survive the financial fallout?
A cyberattack does not end when malicious activity has been contained. For the affected business, that is usually when the most expensive phase begins. When an attacker breaches a system, the problem quickly extends beyond IT. Systems may go offline while staff try to keep the business running. Customers demand answers, and the business may need to meet regulatory obligations. All these activities cost money, often when revenue is already under pressure.
Work PC – finding the perfect fit
Twenty years ago, PC procurement was pretty straightforward. Business leaders would evaluate hardware specifications and then set off to compare vendors. This process was generally rooted in a single, simple transaction. It was one and done. Fast-forward to now, and this is no longer the case.
Changing workplace – shifts redefining skills
Predictions about the future of work have become commonplace. Every year brings forecasts about new technologies, changing job roles, and the skills employees will need to remain competitive. But as 2026 has unfolded, many of those predictions have moved beyond theory. They are shaping hiring decisions, influencing business strategy, and redefining what employers expect from their people.
Ransomware readiness – backup, disaster recovery and operational resilience
Backup, disaster recovery, and operational resilience are often used interchangeably in boardroom conversations. However, they are three distinct disciplines. Each carries its own risk if organisations leave it unaddressed. Organisations that conflate the three are frequently the ones caught out when ransomware strikes.
Rethinking cybersecurity – when the firewall is no longer enough
Your firewall cannot save you because the workplace it was designed to protect barely exists anymore. Employees work from anywhere. Applications sit in the cloud, while data moves between platforms and devices. Businesses also increasingly rely on third parties and connected services. The office may still have a firewall, but the business itself has long since moved beyond its walls.
Shadow AI – when helpful tools become hidden risks
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.
AI security risks – is data protection keeping pace?
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.































