Most SME owners worry about trade secrets in the abstract.
They imagine a disgruntled employee, a former partner with a grudge, or a competitor trying to reverse-engineer a product. Risk, in this framing, is human. So protection efforts are aimed at people — NDAs, loyalty, trust, culture.
But in many South African SMEs today, the most serious threat to confidential information is not misconduct.
It is convenience.
Everyday tools — cloud platforms, shared drives, outsourced developers, marketing agencies, collaboration software, and now AI assistants — are being used continuously, often without any clear line between what is operationally useful and what is legally sensitive. Information flows freely because it feels efficient. Nothing about the process feels reckless. In fact, it feels modern, collaborative, and necessary.
Until something happens.
A dispute. A data incident. A due diligence process. A commercial negotiation.
And suddenly the business is asked to explain what information is confidential, who controls it, and whether it still qualifies as a trade secret at all. At that point, good intentions are no longer enough. What matters is evidence — and evidence is found in conduct.
Trade secrets only exist if three conditions are met. The information must be valuable. It must not be generally known. And reasonable steps must have been taken to keep it confidential.
Most SMEs are comfortable with the first two. Very few give sustained attention to the third.
In practice, this gap shows up quietly. Pricing logic circulates freely across teams. Customer databases live on multiple platforms. Internal processes are embedded into third-party tools. Strategies and prompts are fed into AI systems to “think things through.” Contractors gain access to core know-how without restriction or structure.
None of this looks dramatic. All of it weakens confidentiality.
And once confidentiality is weakened, the law stops protecting the information — even if it remains commercially valuable. Trade secret protection does not fail suddenly. It erodes gradually, through habits that feel harmless in the moment.
This risk has accelerated sharply over the last two years.
Growing SMEs adopt tools organically. Different teams solve problems independently. Software spreads faster than policy. At the same time, AI use has become normalised. Founders and employees rely on it to draft proposals, refine strategies, analyse data, and pressure-test decisions — often using real business information as inputs, without pausing to consider downstream consequences.
Overlay this with increasing scrutiny from investors, partners, and acquirers, and the exposure becomes clear. Questions are now routine: What proprietary information does the business rely on? How is it protected? Can it be enforced? Can it be transferred?
Answers rooted in trust, culture, or “this is just how we work” do not satisfy these questions. Courts and counterparties look at behaviour, not intention.
This is the uncomfortable truth about trade secrets in SMEs: they are not protected because they are important. They are protected because the business behaves as if they are important.
Many SMEs unintentionally undermine themselves by treating internal knowledge as communal property, failing to distinguish between public and confidential information, assuming digital convenience does not affect legal status, or believing that NDAs alone are sufficient. They are not.
Confidentiality is not created by documents. It is demonstrated through practice.
This is why the issue is not merely one of intellectual property. It is a governance issue.
In many owner-managed businesses, no one truly owns information risk. There are no clear rules governing tool use. Decisions are decentralised without guardrails. Founders assume common sense will prevail.
But governance is not about reacting after harm occurs. It is about anticipating erosion before it becomes irreversible. Where confidentiality is not actively governed, it dissolves by default.
The solution does not require enterprise-grade systems or heavy bureaucracy. It requires discipline.
It begins with clarity about what actually matters. Not all information deserves protection. Trying to treat everything as confidential only dilutes focus. Pricing logic, margins, customer and supplier data, proprietary processes, strategic playbooks, and methodologies are usually where value concentrates. These must be identified deliberately, not assumed.
From there, tool use must be brought into alignment with that reality. What information can be uploaded to external platforms? What data is off-limits to AI tools? Who approves new software adoption? Rules do not slow teams down. Uncertainty does.
Contracts must then reflect how the business actually operates. NDAs, employment agreements, and contractor terms should mirror real information flows, real tools, and real access levels. Paper protection that ignores operational reality is cosmetic.
Finally, confidentiality must be visible. Marking information, restricting access, and setting expectations are not formalities. They are evidence. If a dispute arises, the business’s conduct will carry more weight than its intentions ever could.
The mistakes SMEs keep making are remarkably consistent. Assuming cloud platforms are neutral. Over-relying on NDAs. Letting speed override structure. Ignoring AI-specific risks. Believing that internal familiarity equates to legal protection.
It does not.
Trade secrets rarely disappear through theft. They dissolve through everyday convenience.
For SMEs, the real question is not whether information is valuable. It is whether the business has behaved as though that value deserves protection.
Good governance does not block innovation. It preserves the value innovation creates. And in a competitive SME environment, value that cannot be protected is value that will not endure.