Episodes

  • Specops' Darren James on continuous trust in an AI world

    Specops' Darren James on continuous trust in an AI world
    Aug 7 2026
    Specops Software’s Darren James explains why identity checks alone no longer stop determined attackers.

    Traditional approaches to access security no longer hold up in hybrid, cloud-first environments – and AI is widening the gap.
    In this episode, host Kevin Smith speaks to Darren James, senior product manager at Specops Software, about the distance between how organisations secure access and how people actually work.
    Businesses have poured money into identity-based controls – passwords, multi-factor authentication, zero-trust initiatives – yet breaches keep rising, because attackers increasingly exploit trusted identities rather than technical vulnerabilities. An intruder holding legitimate credentials looks like an authorised user and can operate undetected.
    That points to a shift in security thinking: verifying the user’s identity is no longer enough. Access decisions must also account for the device being used, its security posture and whether trust should hold for the length of a session.
    Working through a real-world breach, James shows how a single compromised account escalates into a serious incident, and where a more contextual approach to access control could break the attack chain before damage is done. The discussion reframes zero trust as an ongoing process rather than a one-time authentication event, and makes the case for layered verification.
    He also looks ahead to automated attacks and the rise of non-human identities – service accounts and AI agents among them. As organisations lean harder on autonomous systems, identity-centric models will face pressures they were never designed for.
    The executive takeaway is this: the cybersecurity battleground is shifting from identity verification to continuous trust. In an era of AI-driven threats and hybrid work, organisations need to stop asking “who is accessing the system?” and start asking, continuously, “should this access still be trusted?”
    Don’t miss the discussion.
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    46 mins
  • How AI is turning hardware into a subscription service

    How AI is turning hardware into a subscription service
    Aug 6 2026
    For most of business history, buying technology meant owning it. Capital was set aside, servers and laptops were hauled into the building alongside the software licences, and the business then sweated those assets for as long as it practically could.
    In the age of AI, that logic is starting to break. Kit bought today can be obsolete in two or three years, chips are in short supply and the companies pulling ahead are no longer those that own the most but those that can adapt the fastest.
    In this episode of TCS+, Shane van der Merwe, head of technology finance at Merchant West, explains why the shift from owning technology to simply accessing it is gathering pace.
    Van der Merwe unpacks:
    • What is driving businesses to let go of owning their technology stack;
    • Why hardware — the physical "tin" — has been the last thing to move to a subscription model, long after software did;
    • Whether this is a corporate trend only, or whether cash-conscious SMEs are moving too;
    • How the rise of AI is accelerating the move away from owned kit;
    • The global chip-supply squeeze, and the tiering that can leave South Africa further back in the queue;
    • Whether being in the cloud is a competitive advantage in itself;
    • What obsolescence really costs a business, even on equipment that is already "paid off";
    • How the shift from capex to opex changes the balance sheet — and what happens to the IT team;
    • What a Merchant West solution looks like end to end, including how Popia-compliant data destruction is handled when old kit is returned;
    • The circular-economy angle, in which returned devices are given a second life rather than being scrapped; and
    • How getting this right frees up cash and keeps a business competitive in its core operations, not just its IT.
    Don't miss the discussion.
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    20 mins
  • Why South African workers must become supervisors of digital labour

    Why South African workers must become supervisors of digital labour
    Jul 31 2026
    ADG’s Cliff de Wit on why the next management challenge is overseeing teams of autonomous software agents.

    Not long ago, organisations were experimenting with generative AI to draft e-mails, summarise documents and answer questions. Today agentic AI is changing what the technology is for.
    In a conversation on TechCentral’s TCS+ podcast, Cliff de Wit, MD for South Africa and group chief innovation officer at Accelera Digital Group (ADG), argued that the real story is not machines replacing people but a fundamental shift in how work gets done — and where humans create value.
    Rather than completing individual tasks on command, AI agents can be given an objective and left to determine how best to achieve it. De Wit illustrated this with a know-your-customer (KYC) use case in which agentic AI is already automating complex workflows and accelerating business outcomes.
    AI is no longer simply a tool that assists workers. Increasingly, it is a digital workforce in its own right.
    In a country with one of the world's highest youth unemployment rates, concerns about automation are understandable. But De Wit challenges the idea that AI should be viewed purely as a job-replacement technology.
    "The human skills involved in business are fundamentally changing, but the basics of business still remain," he said.
    Businesses will still need people to solve problems, exercise judgment, build relationships and drive innovation. What changes is how those outcomes are achieved: as routine and administrative work is automated, workers move up to activities where uniquely human skills matter most.
    The sharper risk is distributional. Without investment in education, training and digital skills, AI's productivity gains could widen existing inequalities — not because jobs disappear, but because opportunity concentrates among those who know how to work with the technology. AI literacy may soon matter to employability as much as computer literacy did during the digital revolution.
    Organisations are already deploying agents into operational environments, in some cases slotting them into workforce structures alongside human employees. Leaders are no longer managing only people; they are managing mixed teams.
    De Wit believes businesses are better prepared for this than they think. Companies have long used governance frameworks and risk controls to oversee human decision-making, and many of the same principles adapt to digital workers. Whether a decision is executed by a person or a system, accountability, escalation and oversight remain essential.
    Which decisions should be delegated, then, and which should stay under human control? De Wit's answer comes down to risk, and he sets out a framework for categorising it. The future, on his reading, is unlikely to be fully autonomous. Successful organisations will run human-in-the-loop models in which AI handles execution while people supply direction, judgment and accountability.
    De Wit is optimistic. Many local organisations are still experimenting, but a growing number are moving past pilots to solve real problems and generate measurable value.
    For leaders, the question is no longer whether to adopt AI, but how to do so responsibly, effectively and inclusively. The future workforce will consist neither solely of humans nor solely of machines — it will consist of humans who know how to lead, govern and orchestrate digital labour.
    And that future is arriving faster than many realise. Don’t miss a great discussion!
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    43 mins
  • TCS+ | iStore Business on why Apple makes sense for SMEs

    TCS+ | iStore Business on why Apple makes sense for SMEs
    Jul 30 2026
    For small and medium enterprises, technology must do one thing above all else: get out of the way. Unlike large corporations with dedicated IT departments, SMEs run lean – and every hour spent wrestling with systems is an hour not spent on the business itself.

    In this episode of TechCentral’s TCS+, brought to you by iStore Business, Sudesh Pillay, executive head of iStore Business South Africa, and Tamia Nontsikelelo, founder and CEO of womenswear label Tol’Thema, explore how SMEs can make smarter technology decisions and why the Apple ecosystem is increasingly the answer.
    They discuss:
    The pressures SMEs face and why low-maintenance, cost-effective technology is critical to their survival and growth;
    How Tol’Thema uses iPhone and Mac in the day-to-day running of the business, and the practical value they deliver to customers;
    Why historically fragmented SME IT is giving way to integrated ecosystems, and what is driving the shift;
    The total cost of ownership case for Apple hardware, and why the premium price tag isn’t the whole story for budget-conscious businesses;
    How Apple’s on-device AI, built into its silicon, helps SMEs future-proof their hardware investment;
    The support iStore Business provides to ease hardware transitions and reduce the disruption of moving staff onto a new operating system;
    Why native security and data protection features matter enormously to small businesses with no dedicated IT or compliance function; and
    Which software and AI subscription costs SMEs can avoid by making better use of tools built into the Apple ecosystem.
    Pillay also explains what happens when an SME’s needs outgrow out-of-the-box solutions, and how iStore Business provides the specialist support to scale with them.
    Don’t miss this practical conversation about technology that works for South Africa’s small businesses.
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    38 mins
  • A smarter approach to cloud for South African businesses

    A smarter approach to cloud for South African businesses
    Jul 28 2026
    South African businesses are spending millions on cloud – and many have very little to show for it.
    That is the uncomfortable starting point for this episode of TCS+, in which Nkosinathi Ndlovu speaks to Joel Chacko, executive head of department for cloud services at Vodacom Business, and Jonathan Oaker, founder and CEO of CloudZA, about why the promise of cloud still isn’t matching the reality for so many organisations – and what it takes to close the gap.
    Chacko and Oaker discuss why cloud has moved from the server room to the boardroom, with business resilience, agility and AI readiness emerging as the new drivers. They also examine why pressure to “move to cloud” can run ahead of strategy, leaving costs to climb faster than returns.
    The pair also cover:
    • Common pitfalls behind cost overruns, including poor governance, skills gaps and the slow adoption of cloud-native thinking;
    • Why hybrid and multi-cloud architectures have become the baseline, and the strategic drivers behind that shift;
    • The mindset organisations need to thrive in the cloud;
    • What to look for when choosing a cloud partner; and
    • What businesses should stop doing immediately, and where to redirect that energy instead.
    Don't miss the discussion.
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    21 mins
  • How Tracker is turning vehicle data into business strategy

    How Tracker is turning vehicle data into business strategy
    Jul 1 2026
    Vehicle tracking has come a long way from its origins as a stolen vehicle recovery tool. Today, the data generated by connected fleets – covering driver behaviour, fuel consumption, route efficiency and real-time events – has elevated telematics from an operational afterthought to a boardroom conversation.
    In this episode of TCS+, host Nkosinathi Ndlovu sits down with Silvia Schollenberger, chief commercial officer at Tracker, to unpack what that evolution means for South African businesses.

    Schollenberger explains how the questions fleet managers and C-suite decision-makers are bringing to Tracker have changed significantly over the past three to five years.

    Watch the video

    Where procurement conversations once centred on cost-per-unit tracked, customers now want to understand how fleet intelligence can reduce total operating costs, improve driver safety and unlock strategic advantage.

    Schollenberger walks through the typical technology journey a business takes – from basic asset protection to a fully integrated fleet intelligence stack – and identifies the triggers that tend to accelerate that shift.

    The conversation gets into the practical realities of fragmentation: what businesses actually lose, commercially and operationally, when they run disconnected point solutions that don’t talk to each other. Schollenberger also shares an anonymised case study illustrating how fleet intelligence drove outcomes that went well beyond efficiency metrics, influencing strategic decision-making at the highest level.
    On the vendor selection side, she flags the most common mistakes fleet managers make when evaluating telematics solutions and outlines what “end to end” genuinely looks like for a Tracker customer through solutions offered in partnership with Geotab International. Safety, she emphasises, remains foundational – and she highlights some of the newest features available to help protect both drivers and assets in the field.
    The episode closes with a look at how Tracker and the broader South African telematics industry stack up against global peers – a useful benchmark for any business trying to gauge where local capability sits relative to international best practice.
    Whether you manage a handful of vehicles or a large national fleet, this episode offers a clear-eyed view of where fleet technology is heading and how to make it work for your business.
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    13 mins
  • IBM Bob: an AI-powered ‘development partner’ for the enterprise

    IBM Bob: an AI-powered ‘development partner’ for the enterprise
    Jun 30 2026
    It’s been roughly 18 months since AI researcher Andrej Karpathy coined the term “vibe coding” – using natural language alongside AI tools to write and deploy code – and the market for AI coding assistants has grown rapidly since. IBM’s entry into this space is Bob, an AI-powered development assistant built for enterprise environments.
    In this episode of TCS+, Nathi Ndlovu speaks to David Spurway, IBM Power AI and security principal for Europe, the Middle East and Africa, about what sets Bob apart from the growing field of AI coding tools.
    Bob’s roots trace back to IBM i, IBM’s integrated operating environment long used in enterprise and legacy deployments. That heritage is significant: while many AI coding tools target greenfield development, Bob is designed with organisations running legacy stacks – including IBM i and mainframes – firmly in mind. That said, Bob’s capabilities extend well beyond those environments, making it relevant to a broader range of enterprise development teams.
    One of the more distinctive aspects of Bob is how IBM has positioned it – not as a traditional IDE but as a development partner. The “anthropomorphisation” is deliberate: Bob is designed to collaborate, not just autocomplete. That partnership quality shows up most clearly in onboarding. Rather than waiting months for a new developer to gain enough familiarity with a code base to contribute meaningfully, Bob can dramatically compress that ramp-up time by helping them navigate and understand existing code from day one.
    Bob also performs real-time code reviews, a capability that Spurway suggests could prompt teams to rethink their development workflows altogether. IBM provides support to help organisations manage that transition, including guidance on integrating Bob into existing processes. Partners such as Edgetec play an important role in helping organisations manage this shift.
    On the question of language support, Spurway addresses how teams can verify whether their specific tools and languages are compatible with Bob. Security is another focal point: the underlying models powering Bob are discussed in the context of enterprise risk, with Spurway explaining how Bob's code generation is designed to follow security best practices.
    For those looking to explore the platform, Spurway outlines how individuals and organisations can access Bob, and closes with a summary of the key benefits for developers, teams and enterprises alike.
    Don’t miss the interview. — © 2026 NewsCentral Media
    Suggested tags (people and company names only): David Spurway, Nathi Ndlovu, IBM, Edgetec
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    23 mins
  • The Up&Up Group on the hidden cost of AI

    The Up&Up Group on the hidden cost of AI
    May 13 2026
    Companies large and small are pouring capital into AI projects, chasing the promise of efficiency, speed and scale. But as Jason Harrison, chief operating officer of The Up&Up Group, argues in this episode of TechCentral’s TCS+, the upfront price tag tells only a fraction of the story – and many South African boards are signing cheques without fully understanding what they’re buying.
    Harrison uses The Up&Up Group’s own experience in experimenting with and implementing AI to glean insight into the gap between the large promises by the technology (and its Silicon Valley pundits) and harsh realities of stalling projects in enterprises, especially at the integration layer.
    The conversation digs into the costs that rarely make it into a chief financial officer’s spreadsheet:
    • Policy and governance, Harrison argues, are not soft considerations – they are line items, often substantial ones.
    • The costs of error: the reputational damage, financial exposure and legal risk when copyrighted material slips into outputs or autonomous agents go off-script.
    • Agents that run amok, with companies then only discovering the problem once the cloud bill lands.
    Beyond the balance sheet, Harrison flags AI’s energy footprint as a societal cost the industry is still reckoning with.
    AI adoption is accelerating despite these risks and Harrison describes the current moment as a kind of nuclear arms race, driven by share-price pressure and a deep fear of being last. Much of today’s AI spend, he suggests, is Fomo (“fear of missing out”) dressed up as strategy. For tech leaders trying to make sober decisions inside a hype cycle, separating signal from noise has become a leadership skill in its own right, he says.
    Suggested solutions include a “test and learn” philosophy where many small, inexpensive AI experiments are run throughout an organisation before viable instances are scaled appropriately.
    Harrison cautions against one-size-fits-all deployments and argues that governance must sit close to the work rather than only in the boardroom. Quarter-to-quarter measurable objectives matter, he says, but only if they live inside a long-term strategy.
    Despite his sober-minded view on AI’s high costs, Harrison still has an optimistic perspective on the technology and its potential to transform society, especially on the African continent. While the developed world is using AI to get answers, Harrison suggests African organisations may end up using it to learn how to think – a subtle but important distinction, and a timely note for any leader weighing their next AI investment.
    Don't miss this discussion.
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    46 mins