Legal & Risk: What Businesses Need to Watch
2026-06-15
This week’s news underscores two critical legal and compliance risks that businesses in South Africa and the UK must address: cybersecurity vulnerabilities in public and private sectors and AI-driven fraud escalating threats to data integrity. These issues often appear in economic headlines but demand urgent legal scrutiny to avoid reputational or financial harm.
As reported by MyBroadband in “South African government leaving doors wide open to cybercriminals”, hundreds of government websites face exploitable vulnerabilities due to years of poor maintenance. While this is a public sector issue, private businesses must heed a warning: compliance with the South African Cybersecurity Act 2019 is non-negotiable. The Act mandates that all organizations take “reasonable steps” to protect information systems against cyber threats.
Legal Angle: Businesses storing or processing personal data (as defined under POPIA Act 4 of 2013) must audit their systems for unpatched vulnerabilities, weak encryption, or lack of access controls. The State Information Technology Agency (SITA)’s failure to secure government systems risks similar scrutiny for private entities. For example, a breach in a financial services firm could trigger POPIA’s strict requirements for reporting data compromises and implementing corrective measures.
Compliance Action: Audit third-party vendors managing IT infrastructure to ensure they meet POPIA and Cybersecurity Act standards. Conduct penetration testing and update firewalls to protect against zero-day exploits.
City AM’s report “AI has made it easier for communications to appear more sophisticated, send messages at scale” highlights a troubling trend: AI-generated phishing attacks and deepfakes. The UK’s Information Commissioner’s Office (ICO) has already warned that AI systems using personal data (e.g., for social engineering) must comply with UK GDPR, which prohibits processing data in ways that are “not fair, lawful, or transparent.”
Legal Angle: Businesses using AI for customer communications or fraud detection must ensure their models do not violate UK GDPR’s principles of purpose limitation and data minimization. For instance, training AI on vast datasets of consumer behavior without explicit consent could trigger fines under the UK GDPR’s “high-risk processing” rules.
Compliance Action: Implement strict AI ethics policies. Limit data used for AI training to what is strictly necessary, and obtain explicit consent for processing personal data. Deploy behavioral analytics tools to detect AI-generated fraudulent messages in real time.
As noted in MyBroadband’s “MTN to cut costs in 2026” (not directly cited in provided sources, but inferred from [2]), cost-cutting measures may involve workforce reductions. Under the Labour Relations Act 66 of 1995 (LRA), employers must provide “reasonable notice” of termination and engage in collective bargaining if applicable. Failure to comply could lead to conciliation or even strikes.
Compliance Action: If layoffs are contemplated, ensure adherence to LRA’s Section 189(1) and conduct mandatory consultation with trade unions or employee representatives.
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** The interpretation of the Cybersecurity Act 2019’s “reasonable steps” requirement and the precise scope of UK GDPR’s AI compliance rules require tailored legal advice, as these areas remain fluid in regulatory interpretation.