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Tencent says data security has become the leading concern for businesses adopting artificial intelligence, as companies seek the productivity gains of AI without surrendering control of sensitive information.
Security moves from compliance issue to AI requirement
Dowson Tong, Tencent’s senior executive vice-president and president of its Cloud and Smart Industries Group, made the case at the company’s Global Digital Ecosystem Summit in Shenzhen, held on 29 and 30 October.
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Tong said enterprise clients are focused on preventing data leakage as they deploy increasingly capable AI tools. Tencent’s proposed safeguards include running systems on a customer’s own infrastructure, using virtual private cloud environments and applying encrypted AI inference with cryptographic verification.
The summit’s focus on AI agents — software that can carry out multi-step tasks — underlines why the issue is becoming more urgent. Unlike earlier workplace tools, agents can be authorised to search files, draw on company databases, generate reports and interact with other digital systems. That creates clear efficiency opportunities, but also raises the stakes around access rights, audit trails and the handling of commercially sensitive data.
Private deployment is a key selling point
Tencent is positioning WorkBuddy, its enterprise AI agent platform, as a product that can work across more than one AI model rather than tying customers to a single provider. The company says its enterprise offering separates tenants and uses permissions controls for calls to external tools and systems.
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Tencent’s own product materials say WorkBuddy can be deployed privately, meaning an organisation may keep its data within its own environment. Such claims are significant for regulated sectors including banking, telecommunications, healthcare and government, where data sovereignty and compliance requirements can determine whether an AI project proceeds.
But security features alone do not eliminate risk. Organisations still need clear policies on which data an AI system may access, who can approve actions, how outputs are checked and how security incidents are reported. The rapid rollout of workplace AI makes those governance decisions as important as the technology itself.
What it means for Africa and the diaspora
For African businesses and public institutions, the debate is closely tied to digital sovereignty. Many are expanding cloud services and AI use while navigating rules on cross-border data transfers, locally stored information and dependence on overseas technology providers.
That makes Tencent’s emphasis on customer-controlled deployment relevant beyond China. African banks, telecoms, start-ups and governments could benefit from AI tools that reduce routine workloads, but must weigh those gains against cybersecurity capacity, procurement transparency and the protection of citizens’ personal data.
Tencent is already pursuing international cloud partnerships, including work with Indonesia’s XLSmart, where it says AI agents are being used to support the migration of more than 1,000 microservices and terabytes of data. The company has also highlighted telecom and digital-service opportunities in markets across Africa and Asia.
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The bigger message from Shenzhen is clear: as AI shifts from chatbots to systems that can act on enterprise data, trust will become a competitive requirement. Providers that cannot demonstrate robust safeguards may find that technical capability alone is no longer enough.