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Ele busca descobrir e escalar modelos criativos de parceria, aproveitando as lições dos esforços contínuos e abordando questões críticas sobre licenciamento de dados, propriedade comunitária e o papel do setor privado na criação de bens públicos e valor.
But there is a structural tension at the heart of this moment. AI does not scale through a single breakthrough. It scales through diffusion; the practical work of embedding AI into real institutions and real accountability structures so that it functions reliably, earns trust, and sustains adoption over time. And diffusion fails without a trust layer.
Across the African continent, AI startups are handling growing volumes of sensitive data and operating critical digital infrastructure. They face challenging dilemmas while global cybersecurity expertise, tools, or institutional support required to secure what they are building are not adapted to their needs. This is not a failure of ambition. It is a gap in ecosystem capability. And if it is not closed deliberately, it will resolve in consequential ways: through breaches that erode public confidence, institutional failures that set back adoption, and the gradual erosion of user trust when systems act in unforeseen ways without any clear accountability.
Cybersecurity sits directly in that gap. And closing it is not a technical problem. It is a market problem — one that nobody has yet built the infrastructure to solve at African scale.
As African AI ecosystems grow, cybersecurity has become foundational — not optional — for building trust, resilience, adoption and long-term viability
Esta chamada para manifestações de interesse convida parceiros locais, regionais e globais a aprenderem juntos e contribuírem para o design do Centro de Inteligência Artificial para o Desenvolvimento Sustentável. As questões de aprendizagem que pretendemos abordar incluem, mas não estão limitadas a:
A health-tech startup in Nairobi deploys an AI diagnostic tool across a network of rural clinics. The system processes patient records, returns treatment recommendations, and operates across intermittent connectivity. It works. Uptake grows. And then a data breach exposes sensitive patient information for thousands of people who had no idea their records were being processed by an algorithm. The breach is not catastrophic by global standards. But in a context where institutional trust is hard-won and easily lost, it does not need to be catastrophic to be terminal. The startup loses its clinic partnerships. The clinics lose their patients' confidence. And the next AI health application entering that market must contend with the lingering distrust left in the wake of the breach.
Após a chamada para manifestações de interesse, o PNUD trabalhará para facilitar as conversas com as organizações participantes sobre as questões de aprendizagem. As organizações participantes terão a oportunidade de acessar redes, financiamento potencial para pilotos e outros recursos que esta fase de co-design reunirá por meio de parceiros interessados.
The AI Hub for Sustainable Development has been working with UNDP’s AI Trust and Safety Re-imagination Programme on a framework that reframes how we think about safe AI adoption. The insight that matters most for this programme is this: trust and safety are not qualities of a model. They are properties of a system – of the institutional environment in which a model operates, the accountability structures around it, the escalation pathways when something goes wrong, and the human capacity to monitor, interpret, and intervene.
Cybersecurity is the foundation of all of this. It is not a layer added after the pathway is designed. It is the condition that makes the pathway viable. For African AI startups, this means that cyber resilience is not a compliance requirement imposed from outside. It is the internal capability that determines whether their systems can be trusted. Startups that build this capability early will not just be more secure. They will be easier to adopt, more attractive to investors, and better positioned to influence the governance discussions that will shape their operating environment.
About the Cyber4Africa Programme
The AI Hub for Sustainable Development was established on a specific premise: that African innovators should not merely participate in the AI revolution but be central to building it. The AI Hub’s programmes on compute access, talent development, infrastructure, and standards addresses specific constraints that holds African AI startups back.
Cyber resilience is the next frontier, and the AI Hub is not approaching it alone.
The Cyber4Africa Programme brings together Cyber 4.0's deep expertise in cybersecurity capacity building, Cisco Kenya's technical infrastructure and regional reach, and the AI Hub's ecosystem position at the intersection of AI development, policy, and institutional trust. Together, these partners are building something that does not yet exist at scale in Africa: a practical, startup-oriented cyber resilience model that is embedded into the AI development lifecycle from the beginning.
The programme is designed around a conviction that the most important interventions are upstream. Not auditing systems after vulnerabilities emerge, but equipping founders and technical teams to build securely from day one. It seeks to embed security-by-design into the innovation process so that trust is earned before it is tested. It also seeks to build a community of practice among African AI founders who understand that their collective security posture shapes the credibility of the entire ecosystem.
This is also, explicitly, a jobs agenda. The same communities most exposed to AI risk are best positioned to become its monitors, auditors, and assurance professionals, if the pathway into that profession is built deliberately. The Cyber4Africa Programme creates that pathway. It trains not just for technical competence but for the professional infrastructure of AI safety. These are the skills the African AI ecosystem needs. They are also the skills the global AI safety market is beginning to pay for.
Security-by-design is not a constraint on innovation. It is the condition that makes African AI innovation sustainable, scalable, and trusted — by users, by partners, and by the world.
Sectoral Focus
The programme targets African AI startups in five sectors where cybersecurity exposure is most acute, and the consequences of failure are most severe:
Healthcare and Digital Health — patient records, diagnostics, and health infrastructure where security failures can compromise care and erode public trust.
Fintech and Financial Services — the most targeted sector globally, where cyber incidents undermine both financial inclusion and consumer confidence.
Govtech and Civic Technology — digital identity and e-government platforms where vulnerabilities directly compromise institutional legitimacy.
Energy and Climate Technology — AI-enabled infrastructure where digital vulnerabilities carry physical and national consequences.
AI Infrastructure and Data Platforms — the foundational layer where security failures cascade across entire networks of users, developers, and dependent systems.
Programme Approach
The programme runs for six months and is structured around three interconnected workstreams:
Cyber Resilience and Awareness: Tailored advisory support to help startups assess their cybersecurity posture, strengthen organisational awareness, and align with international security standards. All participating startups receive a Cybersecurity Light Assessment at the start of the programme.
Training and Capacity Building: Specialized training delivered remotely and in person, including webinars on AI security essentials, a cybersecurity starter mini-course, and access to Cisco's Cybersecurity Training Centre in Nairobi for hands-on workshops.
Technical and Operational Support: Hands-on support to help startups implement cybersecurity controls, strengthen incident response capabilities, and improve operational resilience through expert engagement, technical office hours, and AI Security Quick Scan
Who Should Apply
The Cyber4Africa Programme is open to African AI startups that:
- Have an AI-enabled product, platform, or service at MVP stage or beyond
- Operate in environments with meaningful cybersecurity exposure
- Handle sensitive personal, financial, or operational data
- Are building in one or more of the programme's five priority sectors
- Are Africa-based or building solutions for African markets
- Have the capacity to actively participate throughout the six-month programme
Why Apply
Participants in the Cyber4Africa Programme will:
- Receive a structured cybersecurity assessment and a prioritised action plan tailored to their technology stack and sector context
- Build the technical and operational security capability needed to protect their product, their users' data, and their institutional partnerships
- Access expert-led training, remotely and in-person, from Cyber 4.0's specialist network and Cisco's Nairobi Training Centre
- Strengthen their position with institutional partners, investors, and regulators who increasingly require evidence of security practices before procurement or collaboration
- Join a community of African AI founders committed to building with security and trust at the centre
How to Apply
Click Here to Submit Your Application
Application deadline: 8 June 2026
Programme start: 1 July 2026
Duration: 6 months
Questions: aihubforsustainabledevelopment@undp.org
