Click here to learn more about how Mastercard is using AI<\/a>.<\/strong><\/li>\n<\/ul>\n\n\n\nThis capital creates a fertile ground for innovation in multiple sectors. Realising this vast potential requires building secure, trusted digital rails for everyday commerce and data exchange.<\/p>\n\n\n\n
The research highlights a significant opportunity to expand financial inclusion.<\/p>\n\n\n\n
There are over 400 million unbanked or underbanked adults in sub-Saharan Africa.<\/p>\n\n\n\n
Artificial intelligence (AI) can help bridge this divide by enabling new ways to assess risk and extend services. <\/p>\n\n\n\n
Digital agents can assist consumers in securely sharing their permissioned data, such as mobile money usage history, with local financial institutions.<\/p>\n\n\n\n
Users retain complete oversight of their personal information at all times.<\/p>\n\n\n\n
These permissioned data exchanges sit alongside Mastercard\u2019s core role as a trusted transaction network \u2013 linking identity, intent, authentication and settlement into a single, secure flow.<\/p>\n\n\n\n
This consumer-led approach ensures data rights are respected while safely expanding access to vital financial services.<\/p>\n\n\n\n
Businesses and consumers are looking for ways to reduce friction in their daily transactions.<\/p>\n\n\n\n
Imagine a scenario where a small business owner in Johannesburg directs a digital agent to execute a pre-approved procurement within clearly defined parameters, such as preferred suppliers, price thresholds and delivery requirements. <\/p>\n\n\n\n
The critical question is how the business owner can trust that agent to execute the payment securely and accurately.<\/p>\n\n\n\n
Agentic commerce framework<\/h2>\n\n\n\n
Mastercard is addressing this exact challenge through specific frameworks designed for trusted, agent-initiated transactions.<\/p>\n\n\n\n
This framework is supported by massive investments in network security.<\/p>\n\n\n\n
Mastercard has invested approximately $11 billion in cybersecurity innovation since 2018.<\/p>\n\n\n\n
The company already utilises generative AI to protect the broader financial ecosystem.<\/p>\n\n\n\n
Its Decision Intelligence Pro tool analyses over one trillion data points to deliver a 200 per cent higher fraud detection rate.<\/p>\n\n\n\n
In the United Kingdom, a similar solution detects 20 per cent more authorised push payment fraud, saving a potential \u00a3100 million annually.<\/p>\n\n\n\n
Mastercard is now applying this deep expertise to establish the guardrails for a new era of agentic commerce.<\/p>\n\n\n\n
The agentic commerce framework rests on strict pillars of consumer control and interface standards.<\/p>\n\n\n\n
Any digital agent operating on the network must be fully verified and registered. The system relies on precise intent capture.<\/p>\n\n\n\n
The human user always sets the initial parameters and financial boundaries.<\/p>\n\n\n\n
If a transaction falls outside a predefined limit, the system pauses. If the user\u2019s intent changes, the network requires immediate re-authentication.<\/p>\n\n\n\n
Agents cannot authorise payments without explicit human consent and clearly defined validity windows.<\/p>\n\n\n\n
This eliminates the risk of unapproved spending and keeps the consumer firmly in control.<\/p>\n\n\n\n
To protect financial data during these interactions, the network deploys agentic tokenisation.<\/p>\n\n\n\n
These controls ensure the user\u2019s actual account details remain entirely hidden when the digital agent interacts with merchants or third-party services.<\/p>\n\n\n\n
The framework guarantees total transparency alongside this privacy. Users maintain a clear, accessible record of exactly which agent acted on their behalf at any given time.<\/p>\n\n\n\n
Responsible AI<\/h2>\n\n\n\n
These mechanisms are built entirely on foundational principles for responsible AI development. Mastercard prioritises trust, transparency, accountability and security in every product.<\/p>\n\n\n\n
The company fosters this culture internally through its AI and Data Science Guild, which boasts approximately 2,000 members.<\/p>\n\n\n\n
A broader AI Enthusiast Collective engages nearly 7,000 members across the organisation.<\/p>\n\n\n\n
This deep internal expertise ensures that every new payment solution is rigorously tested and secured before reaching the market.<\/p>\n\n\n\n
Stakeholders need a coordinated approach to navigate the future of digital finance. Fragmented regulatory landscapes and data silos remain significant challenges across the continent.<\/p>\n\n\n\n
By building secure ecosystems for user-directed agents, the financial sector can work constructively within diverse regulatory environments to build interoperable, compliant ecosystems.<\/p>\n\n\n\n
This careful, structured approach will safely unlock the true value of artificial intelligence for African commerce.<\/p>\n\n\n\n
Click here to learn more about how Mastercard is using AI<\/a>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"Africa\u2019s fast-growing AI economy is reshaping digital trade, creating an urgent demand for secure, trusted payment infrastructure that can support agent-assisted commerce at scale across the continent, writes MASTERCARD.<\/p>\n","protected":false},"author":57,"featured_media":877490,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_sma_x_autopost_status":"posted","_sma_x_autopost_error":"","_sma_x_post_id":"2105246538427482606","_sma_facebook_post_id":"191437357620492_2221641988656200","_sma_instagram_post_id":"","_sma_x_attempts":1,"footnotes":""},"categories":[10459],"tags":[26654,26652,26653,6912,1534],"class_list":["post-877487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","tag-agentic-tokenisation","tag-ai-commerce","tag-ai-enthusiast-collective","tag-artificial-intelligence","tag-mastercard"],"_links":{"self":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/877487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/users\/57"}],"replies":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/comments?post=877487"}],"version-history":[{"count":3,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/877487\/revisions"}],"predecessor-version":[{"id":877623,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/877487\/revisions\/877623"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/media\/877490"}],"wp:attachment":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/media?parent=877487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/categories?post=877487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/tags?post=877487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}