IT in Manufacturing


South Africa’s AI revolution is here – but are we secure?

March 2025 IT in Manufacturing

South African businesses are sprinting to embrace generative AI, lured by its potential to drive efficiency, productivity and innovation. But here’s the stark reality: without a rock-solid cybersecurity foundation, AI will become a Trojan horse, opening the floodgates to sophisticated cyber threats.

The time to act is now. AI is not just changing how businesses operate – it’s transforming the cyber threat landscape at an unprecedented pace. Cyber criminals are already exploiting AI to automate deepfake attacks, craft hyper-realistic phishing scams and weaponise malware. The question isn’t whether South African businesses will be targeted – it’s when and how prepared they will be when it happens.


Boland Lithebe, security lead for Accenture, Africa.

As AI adoption accelerates, our digital core – the essential technology infrastructure underpinning business operations – must be fortified. If we fail to secure it, we risk compromising customer data, disrupting supply chains and eroding trust in South Africa’s digital economy.

For all its promise, generative AI dramatically expands the attack surface. Traditional cyber security measures – designed for an era before AI – are struggling to keep up. The same AI capabilities that help businesses innovate can also be harnessed by bad actors to infiltrate systems, manipulate data and automate cyber attacks at scale.

We have already seen how generative AI enables cyber criminals to:

• Launch ultra-personalised phishing attacks that bypass human scepticism. AI can craft scam emails and messages that mimic real communication styles with uncanny accuracy.

• Automate deepfake fraud to deceive individuals and businesses, with attackers generating fake voice recordings, videos or even entire conversations.

• Use AI-generated malware to exploit security weaknesses rapidly, bypassing traditional defence mechanisms.

This is no longer a theoretical risk. South Africa’s businesses, financial institutions and even government systems are at increasing risk of AI-driven attacks. A reactionary approach to cybersecurity is no longer sufficient – we must embed security into every AI-powered system from the ground up.

If South African enterprises are serious about harnessing AI’s potential without jeopardising their security, they must take deliberate, proactive steps to secure their digital core. Just as cyber criminals are using AI to attack, businesses must use AI to defend. AI-driven security tools can detect, analyse and neutralise threats in real time, outpacing traditional threat detection methods. Machine learning models can identify anomalies, stopping breaches before they escalate.

The days of assuming network safety are over. A zero-trust security model, which verifies every user, device and AI-driven process before granting access must become the new standard. Organisations must continuously authenticate and validate all users, even those inside the network.

AI systems rely on vast amounts of sensitive data, making robust data governance essential. This means securing cloud environments, enforcing strict encryption standards and ensuring compliance with global and local data protection regulations, such as South Africa’s Protection of Personal Information Act (POPIA).

AI systems must be evaluated for vulnerabilities before deployment. Businesses must adopt a framework for AI model risk management, ensuring that AI-generated outputs are accurate, unbiased and resistant to manipulation. AI security audits should become standard practice.

Cyber security is no longer just an IT issue; it’s a business survival issue. Boards and executives must integrate cyber resilience into corporate strategy, ensuring that security investments match the scale of AI-driven digital transformation. Without board-level buy-in, cybersecurity initiatives will remain underfunded and reactive.

Failing to secure AI systems is not just a technology risk, it’s a business risk. Companies that neglect cybersecurity will face:

• Reputational damage from data breaches and AI-driven fraud.

• Regulatory penalties for failing to protect customer information.

• Operational disruptions caused by ransomware and AI-enabled attacks.

• Loss of competitive edge as consumers and partners favour businesses that prioritise data security.

South Africa’s digital economy is at an inflection point. If we fail to secure our AI infrastructure, we won’t just lose data, we’ll lose trust, competitiveness and economic momentum.

South Africa has an opportunity to lead in AI-driven transformation, but only if security is a non-negotiable part of that journey. We must act decisively, investing in AI-driven cybersecurity solutions, regulatory frameworks and a culture of cyber resilience.




Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

The next generation of engineers is building living labs of innovation
Schneider Electric South Africa IT in Manufacturing
Graduate engineers at Schneider Electric East Africa designed, integrated and commissioned the smart building systems in the company’s new Nairobi head office, demonstrating how practical, real-world project experience accelerates engineering capability and confidence.

Read more...
Innodisk launches APEX series edge AI systems for industrial deployment
Vepac Electronics IT in Manufacturing
Innodisk has launched its APEX series edge AI systems, combining hardware, software and system design to simplify industrial AI deployment. The APEX-A100, powered by Qualcomm’s Dragonwing IQ9 processor, delivers up to 100 TOPS with guaranteed availability through 2038.

Read more...
Pilot project to optimise material flow
IT in Manufacturing
WEBER-HYDRAULIK has commissioned autonomous transport robots at its Güglingen site to handle internal material transport between warehouse and assembly areas. The pilot project uses RFID integration and SAP connectivity to automate material flows and reduce manual transport tasks.

Read more...
Accelerating pharmaceutical digital compliance and operational efficiency
Schneider Electric South Africa IT in Manufacturing
Cosmos Limited, one of Kenya’s leading pharmaceutical manufacturers, has partnered with Schneider Electric to implement an integrated monitoring, energy management and digital validation platform that has improved operational visibility, data integrity and regulatory compliance readiness.

Read more...
AI data centres, nature and innovation
Schneider Electric South Africa IT in Manufacturing
Artificial intelligence is driving unprecedented demand for data centre capacity, with liquid cooling now central to managing the heat generated by high-density GPU clusters. Schneider Electric examines how next-generation data centres can balance performance with environmental responsibility.

Read more...
Siemens powers next-generation reusable spacecraft development
Siemens South Africa IT in Manufacturing
A European aerospace startup focused on reusable space systems, has adopted Siemens Xcelerator software to connect engineering disciplines, reduce rework and accelerate spacecraft development, cutting the path from concept to flight hardware to nine months for its orbital demonstration capsule.

Read more...
How to navigate the high-stakes economics of AI infrastructure
IT in Manufacturing
Nearly 60% of data centre operators are expected to adopt liquid cooling within five years as AI workloads drive demand for higher rack densities. Understanding the full financial picture of liquid cooling, from capital investment to long-term operational savings, is now essential.

Read more...
Protecting the digital mine
RJ Connect IT in Manufacturing
As mining becomes increasingly connected and automated, cyber threats are emerging alongside the benefits of digitalisation. RJ Connect and provides rugged networking, edge computing and cybersecurity technologies from MOXA to help protect critical mining operations from evolving attacks.

Read more...
SICK launches AI-powered 3D quality inspection
SICK Automation Southern Africa IT in Manufacturing
SICK has combined deep learning with 3D height data analysis in its Nova machine vision platform.

Read more...
Predictive maintenance is the critical enabler for AI data centre liquid cooling systems
Schneider Electric South Africa IT in Manufacturing
As liquid cooling becomes essential for AI data centres, predictive and condition-based maintenance are emerging as critical enablers of thermal stability. Schneider Electric argues that the infrastructure is already generating the data needed and the question is whether operators are equipped to use it.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved