RapidCents named 2026 CIO Awards Canada winner for APPIE, its PCI Level 1 and SOC 2 Type 2 Payment Infrastructure platform. By: TSG Brand Desk Last Updated: August 17, 2026 12:40:08 IST RapidCents Wins CIO Awards Canada Recognition for a Second Consecutive Year, Reinforcing Its Position as Payment Infrastructure Built for Industry-Specific Needs RapidCents Inc. is a Toronto-based payment technology company that builds customized payment infrastructure, rather than one-size-fits-all processing, for merchants across restaurants, retail, healthcare, professional services, and other verticals with distinct compliance and workflow requirements. The company has now been recognized by IDC's CIO Awards Canada program in two consecutive years, first in 2025 and again in CIO 2026, for two different technologies within its stack. Two years, two different wins - one consistent direction. IDC's CIO Awards Canada program recognizes Canadian organizations that demonstrate measurable IT innovation and business value. Being named a winner once can reflect a single strong project. Being named a winner in back-to-back years, for two different technologies, is a different kind of signal - it points to sustained engineering investment across more than one part of the business. 2025: RapidCents was recognized alongside organizations including Bell Canada, IBM, TD Bank Group, Samsung Electronics Canada, Sun Life, and Toronto Hydro for DeFiSentinel, an AI-enhanced architecture focused on security, fraud detection, and operational resilience. You Might Be Interested In 2026: RapidCents is being recognized again,CIO award winner 2026 this time for APPIE (Adaptive Payment Protocol Interoperability Engine), a patent-pending interoperability layer addressing fragmentation between POS systems, payment terminals, and processors. Two wins in two years, in two different technical domains, is the detail worth underlining: it suggests RapidCents' R&D is distributed across its stack rather than concentrated in a single flagship feature. Payment Infrastructure, not a one-size-fits-all platform. A recurring theme across RapidCents' technology choices is that it does not treat merchants as interchangeable. A restaurant taking tableside payments, a healthcare provider handling card-not-present transactions under stricter privacy expectations, and a retailer running a high-volume POS environment all have different fraud profiles, different integration needs, and different compliance obligations. RapidCents positions its infrastructure, APPIE, its smart-terminal architecture, and its fraud-prevention tools, as configurable to those differences rather than applying a single fixed workflow across every industry. That customization is only credible if the underlying infrastructure is independently verified to a high security bar. RapidCents' platform operates under PCI DSS Level 1 compliance, the highest tier of Payment Card Industry Data Security Standard certification, reserved for organizations that meet the strictest requirements for handling cardholder data. The company also maintains SOC 2 Type 2 attestation, which confirms that its security, availability, and confidentiality controls are not only designed correctly but have been observed operating effectively over a sustained period, a higher bar than a point-in-time audit. What APPIE solves. Traditional payment integrations often lock merchants into specific combinations of POS systems, terminals, and processors. Adding a new processor, terminal, or software platform can require custom development, testing, and certification, creating significant switching costs. APPIE solves this by acting as an interoperability layer that translates and normalizes communication across POS and ECR environments and connects them to existing payment infrastructure. Through "APPIE on Terminal" and "APPIE on Host," RapidCents can support REST, SOAP, ISO 8583, and proprietary protocols with a more universal integration model. What RapidBridge solves. RapidBridge extends that same interoperability concept into the browser. The smart extension works inside web-based business software, recognizes customer, invoice, and payment information, and lets merchants send payment links, collect payments, push amounts to terminals, issue refunds, and track transaction status without leaving their existing workflow. If a platform is not recognized automatically, merchants can teach RapidBridge where key fields are, helping build a reusable knowledge base that improves compatibility over time. Together, APPIE and RapidBridge are designed to make RapidCents payments work across more systems with less integration effort. Fraud prevention treated as infrastructure, not an afterthought. RapidCents applies the same industry-specific logic to fraud prevention. For card-not-present transactions, including MOTO (mail order/telephone order) sales, common in healthcare and services businesses, manually keyed card numbers offer little assurance that the person entering the data is the legitimate cardholder. RapidCents instead supports secure payment links that let the cardholder complete the transaction remotely, layered with 3D Secure authentication and risk-based fraud controls. Its Chargeback Shield evaluates payment, device, customer, session, and behavioral signals before a transaction is even captured, and the company says its smart-terminal architecture extends similar controls to remote payments and refund fraud, a loss category that gets less attention than card fraud but affects merchants' bottom line just as directly. Built with AI and agentic commerce in mind. RapidCents' engineering roadmap is increasingly AI-oriented: AI-assisted fraud monitoring, real-time transaction analysis, and AI applied to merchant onboarding and AML/transaction-monitoring workflows. The company is also developing Model Context Protocol (MCP) infrastructure to make its payment capabilities accessible to AI systems and software agents, positioning its stack for agentic commerce, where autonomous software increasingly initiates and manages transactions rather than a human clicking "pay." Why this matters. Awards alone don't establish market share or revenue. The more durable signals are adoption of APPIE across POS and processor environments, verified compliance credentials like PCI DSS Level 1 and SOC 2 Type 2, and a demonstrated pattern - now two years running - of shipping infrastructure-level innovation rather than surface-level features. Taken together, that's the case for treating RapidCents as a Canadian payment infrastructure company building for how different industries actually operate, not a generic processor applying the same template to every merchant. Faq. What is RapidCents? RapidCents Inc. is a Toronto-based payment technology company that builds customized payment infrastructure for merchants across different industries, rather than a single generic processing product. What did RapidCents win at CIO Awards Canada? RapidCents was recognized in 2025 for DeFiSentinel, an AI-enhanced security and fraud-detection architecture, and again in 2026 - its second consecutive year - for APPIE, its payment interoperability engine. What is APPIE? APPIE (Adaptive Payment Protocol Interoperability Engine) is RapidCents' patent-pending technology that lets POS systems, payment terminals, and processors interoperate through a single integration instead of requiring a separate integration for every combination. Is RapidCents PCI and SOC 2 compliant? RapidCents operates under PCI DSS Level 1 compliance, the highest level of card-data security certification, and maintains SOC 2 Type 2 attestation for its security and operational controls. Does RapidCents offer industry-specific payment solutions? Yes. RapidCents positions its infrastructure - including APPIE, its smart-terminal architecture, and its fraud-prevention tools - as configurable to the needs of specific industries such as restaurants, retail, and healthcare, rather than a one-size-fits-all product.

What industry analysts heard in Lisbon about ai-ready networking. Posted by Mplify Alliance on Posted on 31 Jul 202631 Jul 2026Reading Time: 4 minutes AI is changing what enterprises expect from their networks. As organizations move from AI experimentation to deployment, the conversation is shifting beyond connectivity itself to the operational models, automation, and ecosystem coordination required to support AI-ready digital infrastructure. That shift framed the discussion when Omdia, IDC, STL Partners, Analysys Mason, and Disruptive Analysis joined an Analyst Perspectives session during the Mplify Member Summit - EMEA held in Lisbon. Rather than debating whether Network as a Service (NaaS) is viable, analysts focused on how AI is reshaping networking requirements, enterprise expectations, and the industry's next phase of evolution. As the global alliance advancing AI-ready digital infrastructure, Mplify convened industry analysts and ecosystem leaders to examine these changes. Several themes emerged consistently across the discussion. AI moves from optimization to transformation. One of the strongest themes was that AI is changing the conversation around networking. Instead of simply making existing processes faster or cheaper, AI is creating entirely new workloads with requirements that are difficult to predict today. That uncertainty strengthens the case for NaaS. Enterprises deploying distributed AI applications, agentic systems, inference workloads, and increasingly dynamic infrastructure cannot rely on static networking models. They need programmable, adaptable connectivity capable of responding to changing demands in real time. Several analysts noted that the industry's challenge is no longer proving that programmable networking is valuable. Instead, the challenge is ensuring networks are flexible enough to support workloads that have not yet been fully imagined. Enterprises care about outcomes, not network specifications. Another recurring message was that telecom providers must rethink how they engage enterprise customers. Historically, networking conversations have centered on technical metrics such as bandwidth, latency, availability, and service levels. Enterprises, however, increasingly measure success by business outcomes. Rather than asking for a specific Ethernet service with defined performance characteristics, future enterprise requests may describe business objectives: support an AI fraud detection platform, maintain regulatory compliance, minimize inference latency, or optimize application performance. This shift requires providers to move beyond selling connectivity toward enabling business outcomes. Trust becomes an even greater competitive advantage. In an increasingly automated marketplace, trust may become one of the industry's most valuable assets. As AI agents gain the ability to compare providers, evaluate services, and automate purchasing decisions, one might assume relationships become less important. Several analysts argued exactly the opposite. Technology will increasingly make it easier to compare prices and capabilities, but enterprises will continue to value trusted partners who consistently deliver reliable outcomes. Long-term relationships, transparency, operational excellence, and confidence in execution remain powerful differentiators, particularly when AI systems begin making recommendations based on historical performance and operational data. Differentiation must go beyond self-service. Five years ago, simply offering self-service networking represented meaningful differentiation. Today, that is no longer enough. As NaaS capabilities become more common across the market, providers must compete through richer customer experiences, AI-enabled operations, broader ecosystem participation, and deeper service innovation. Observability emerged as one particularly important area. Enterprises want greater visibility into how their networks perform, how changes affect applications, and how infrastructure supports business operations. Better insight builds confidence, helping accelerates adoption. Open ecosystems will matter more than closed platforms. Federation, interoperability, shared standards, and common operational frameworks emerged repeatedly as prerequisites for scaling AI-ready digital infrastructure across providers and ecosystems. Rather than inserting themselves as intermediaries between buyers and sellers, successful models are increasingly expected to enable commerce across an open ecosystem. This philosophy aligns particularly well with AI-driven automation, where multiple providers, services, and digital marketplaces may work together dynamically to satisfy enterprise intent. Several analysts viewed this open, composable approach as a significant strength because it encourages innovation without competing directly against ecosystem participants. The industry still has an education challenge. Despite the excitement surrounding NaaS, analysts reminded attendees that much of the enterprise market is still early in its adoption journey. Many organizations remain unfamiliar with modern NaaS capabilities, while others continue to define the term differently. Some view it as on-demand connectivity, others as API-driven automation, and still others as a fully programmable network platform. That diversity of definitions creates confusion. Education, both within provider sales organizations and among enterprise buyers, remains essential. The market cannot accelerate if customers do not clearly understand what problems NaaS solves or how it delivers measurable business value. Looking ahead. The discussions reinforced that the industry stands at an inflection point. The analyst panel demonstrated that these were not isolated observations. The same themes surfaced repeatedly across the discussion. AI is creating new networking requirements that demand flexibility, automation, and programmability. Enterprises are shifting their focus from technical specifications to business outcomes. Trust, transparency, and observability are becoming increasingly important competitive differentiators. Open ecosystems are enabling broader innovation, while education remains critical for accelerating market adoption. The next stage of NaaS will not simply be about connecting locations more efficiently. It will be about creating the intelligent, programmable foundation that enables the AI-driven enterprise. Collectively, these analyst perspectives reinforce the importance of industry collaboration as AI reshapes digital infrastructure. While the analysts approached the discussion from different angles, they consistently highlighted the need for greater automation, interoperability, trusted frameworks and ecosystem coordination. These are precisely the areas where Mplify is advancing industry collaboration through standards development, interoperability, tryst frameworks, and implementation. Participating analysts have published research that explores these topics in greater depth.