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By Dr. Gyan Pathak Both Houses – Rajya Sabha and Lok Sabha – of the Parliament of India adjourned for the second day of the Monsoon Session on July 21 amid protests by the opposition seeking discussion on the police “brutality unleashed” on students during their “March to Parliament” on July 20. The March was […]

The article Parliament Adjourned For The Second Day On Police Brutality Unleashed On Students appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

By Dr. Gyan Pathak The issues of irregularities in examinations in India and the theft of donations in Ram Temple at Ayodhya rocked the parliament on the first day of the Monsoon Session on July 20 and that led to adjournment of both the Lok Sabha and Rajya Sabha until 12 PM just after obituary […]

The article Opposition Parties Rock Parliament In Support Of Fasting Sonam And CJP Protest March appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

Release of Phased Achievements of the National Pilot Base for AI Application (Financial Sector) Held Alongside the Conference

SHANGHAI, CHINA – Media OutReach Newswire – 20 July 2026 – On 17 July, the 2026 World Artificial Intelligence Conference (WAIC) officially opened in Shanghai. UnionPay unveiled three proprietary AI technologies developed for the financial sector at the Shanghai exhibition area: financial transaction time-series foundation model, the Agentic Payment Open Protocol (APOP) framework, and a privacy-preserving large language model inference solution. As the AI era unfolds, the showcase highlights UnionPay’s continued commitment to accelerating the adoption of digital and intelligent technologies.

On 18 July, UnionPay hosted the Release of Phased Achievements of the National Pilot Base for AI Application (Financial Sector) at the UnionPay Center alongside WAIC 2026. The event brought together more than 100 representatives from commercial banks, Chinese and international partners, leading technology companies, academia, and research institutions. During the event, UnionPay released its “1+6+N” AI achievements framework, announced a series of industry partnerships, and launched a joint initiative calling for greater collaboration on the development and governance of the financial industry. These achievements demonstrate the progress of the National AI Application Pilot Base in building an open innovation platform that accelerates AI adoption across the industry.

Dong Junfeng, Chairman of China UnionPay and UnionPay International, attended the event and delivered a keynote speech. He noted that AI is rapidly reshaping the financial industry. Since the National AI Application Pilot Base was launched in 2025, it has delivered a number of meaningful outcomes through close collaboration across the industry. Mr. Dong elaborated on the vision for the development of the base from through three dimensions: sharing, collaborative governance, and mutual benefits. First, by pooling computing resources, data and models on a centralized public platform, the base helps address industry challenges such as the high cost of computing resources and data silos. This lowers barriers to AI adoption across the financial sector. Second, the base has strengthened AI security by building robust safeguards for large language models and applying AI to enhance transaction risk management and cybersecurity. Such efforts are made to support a safer and more resilient financial ecosystem. Third, the base is accelerating the AI adoption across real-world use cases. It has incubated a range of commercial AI solutions spanning agentic payments, credit risk management, consumption promotion and merchant digital transformation, turning technological innovation into tangible business value. Looking ahead, the future of AI + Finance holds enormous potential. UnionPay looks forward to working with partners across industries to build an open, shared, and well-governed financial AI ecosystem that supports the development of new productive forces through technological innovation.

A highlight of the event was the official launch of UnionPay’s “1+6+N” AI achievements framework.

The “1” represents a unified portal—the National AI Application Pilot Base. Built on a “One Portal, Six Centers” structure, it integrates six specialized centers covering models, datasets, applications, talent development, supply-demand matching, and financial services. Together, the platform currently hosts 11 models, 14 datasets, 59 demonstration applications, and 61 service offerings, bringing together 145 core resources in total.

The “6” refers to six independent and controllable capabilities, including computing resources scheduling through a trusted intelligent computing sharing platform, high-quality financial datasets, finance-specific foundation models, AI-powered financial security services, financial AI standards, and a pilot testing sandbox that supports model training and evaluation. Together, these six capabilities form the base’s shared technology foundation, providing ecosystem partners with the core technical infrastructure.

The “N” represents a portfolio of benchmark use cases, standardized AI solutions, and demonstration applications built on this technology foundation. These applications span five key areas—intelligent payments, inclusive finance, consumption growth, risk management and compliance, and operational excellence—building a multi-tier product portfolio serving consumers, merchants, local governments and financial institutions. This accelerates the application of AI capabilities across diverse use cases.

Together, the “1+6+N” framework of the base connects computing power, data, models, and use cases and forms an end-to-end value chain. By addressing common industry challenges—including limited computing resources, data silos and the high cost of AI deployment—it delivers standardized and widely accessible AI capabilities, providing the financial industry with reusable, highly secure and one-stop AI solutions for intelligent transformation. This also reflects UnionPay’s commitment not only to driving its own business growth, but also to enabling the industry through foundational capabilities and reinforcing financial infrastructure for the AI era.

These achievements have already been made available to industry partners and are beginning to create value. For banks, acquirers and other financial institutions, UnionPay’s shared infrastructure enables rapid access to mature financial AI capabilities without the need to build systems from scratch, significantly reducing both technical barriers and implementation costs. For merchants, UnionPay offers AI-powered marketing, digital analytics and intelligent risk management tools to support smarter operations, improve customer engagement and enhance operational efficiency, enabling even small and medium-sized businesses to benefit from AI innovation. For technology companies and other ecosystem partners, the base enables partners to rapidly adapt AI products for financial applications and complete compliance validation, accelerating the commercialization of technological innovations.

The event also featured six rounds of partnership signing ceremonies, covering areas including AI-themed card, cross-border agentic payment ecosystem development, AI-powered operational empowerment for merchants, joint commercialization of pilot base innovations, and broader ecosystem collaboration across the financial industry chain.

Following the signing ceremonies, UnionPay released the Initiative on the Collaborative Development and Governance of AI Applications in Financial Services, with representatives from participating organizations joining the stage to witness its launch. Building on the “1+6+N” framework, the initiative calls on industry stakeholders to collaborate in four areas: First, advancing trusted AI systems that serve the real economy by establishing governance mechanisms for traceable and explainable algorithms while safeguarding data privacy and security; Second, strengthening collaboration among industry, academia, research institutions and users, leveraging the base to jointly advance core technologies and develop independent and secure financial AI infrastructure; Third, promoting openness and inclusiveness by sharing mature AI models, testing services and implementation solutions to reduce the cost of intelligent transformation, particularly for SMEs; Fourth, improving lifecycle governance through tiered risk management, enhanced compliance standards and coordinated risk prevention. The initiative calls on all industry stakeholders to work together by jointly strengthening the foundation, unlocking greater value through shared capabilities, and reinforcing collaborative governance, with the goal of advancing the sound development of AI in the financial sector and driving digital finance through technological innovation.

Hashtag: #UnionPay

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Recognition highlights the TrendAI™ partner-first platform model, ecosystem expansion, and AI-driven tools supporting partner-led growth

HONG KONG SAR – Media OutReach Newswire – 16 July 2026 – TrendAI™, the enterprise AI security leader from Trend Micro Incorporated (TYO: 4704; TSE: 4704), is celebrating its fourth consecutive year as a Champion in the Omdia Global Cybersecurity Leadership Matrix 2026. The report evaluated 24 security vendors across both Momentum and Leadership dimensions, recognizing TrendAI™ in the top three for continuous commitment to building one of the industry’s most capable and rewarding partner ecosystems.

According to Omdia, Champion status reflects strong channel management, robust market performance, and a proactive approach to advancing the cybersecurity partner ecosystem.

Matthew Ball, Chief Analyst at Omdia: “TrendAI™ reaffirmed its position as a Champion by focusing its portfolio on the unified TrendAI Vision One™ platform and establishing the Global Partner Office. A flexible consumption model increased recurring revenue and improved margin predictability, while the refreshed Partner Portal, expanded enablement, and AI-driven tools supported significant Partner Program adoption, partner-led renewals, and services-led growth globally.”

Sanjay Mehta, Senior Vice President, Global Partner Office at TrendAI™: “Omdia’s findings reflect the progress we are seeing across our global partner ecosystem as we continue to make the TrendAI™ Partner Program more impactful, profitable, and services-led. In the first half of 2026, partner-driven deal registration value grew 2.3x YoY, reaching $1.47 billion. This momentum reflects the trust partners are placing in TrendAI™, the strength of our platform-first strategy, and the growing opportunity for partners to deliver AI-powered security outcomes through TrendAI Vision One™.”

Omdia cited several partner-focused drivers behind this Champion designation:

• A strategic commitment to AI security was solidified through the rebrand from the enterprise business unit of Trend Micro to TrendAI™, delivering best-in-class threat intelligence and AI-driven virtual patching capabilities that help customers stay ahead of emerging threats and vulnerabilities
• Partner momentum accelerated with an emphasis on expansion-focused playbooks which drove strong growth in multi-solution and service attachment and resell motions
• Increased recurring revenue and improved margin predictability through a flexible consumption model which drove a 759% increase in adoption of TrendAI Vision One™ for service providers and continues to provide infinite flexibility and faster time to value
• Simplified partner-led demand generation and deal qualification through the introduction of TrendIQ for Partners, a dedicated LLM for partners giving intuitive access to validated product and program information. These tools helped partners generate 7.8K automated playbooks and run 12.5K TrendAI Vision One™ demos in H1 2026, accelerating customer engagement, co-marketing , and services-led growth
• TrendAI™ will deepen its platform and partner-first model, and continue to expand its partnerships ecosystem, co-selling with alliances such as NVIDIA, AWS, Anthropic, Databricks, and OpenAI

The TrendAI™ partner-first approach is also reflected in the experiences of partners globally.

Rob Swainson, Director at Blue Cube Security: “It’s not just about great technology—it’s about having a partner that genuinely cares about helping us deliver the best outcomes for our customers, based on what’s right for each customer. That shared commitment to customer outcomes is what makes this partnership so valuable.”

To read a full copy of the report, visit our website.

Hashtag: #trendai #trendaivisionone #visionone #trendmicro #omdia

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About TrendAI™

TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk. Trusted by the largest enterprises and governments across 185 countries, TrendAI™ secures the entire organization, from identities to infrastructure to data. Global Fortune 500 companies rely on TrendAI™ to cut risk and stop threats up to three months earlier, powered by world-leading threat and attack intelligence. Through deep ecosystem partnerships with market leaders like NVIDIA, Anthropic, AWS, Google, and Microsoft, TrendAI™ empowers your organization to securely drive forward at the speed of AI. AI Fearlessly. Learn more at trendaisecurity.com.

Dr. Benson Wu, CEO and Co-Founder of CyCraft, stated: “We believe, being listed as a Sample Providerin the Gartner report demonstrates that the global market now views AI security as the next battlefield for AI commercialization. From day one, CyCraft has developed proprietary models, simultaneously deploying AI reasoning capabilities across three core pillars: cybersecurity defense, AI governance, and unmanned vehicle reconnaissance. Technical leadership is our starting point, not the destination. Our goal is to translate this leadership into rapid growth driven by strategic deployment and disciplined execution. Launched this year, our AI Red Teaming and AI Guardrail solutions have already been productized and commercially shipped, seeing active deployment in sectors like semiconductors and sovereign AI.”

AI Reasoning Models Drive Up Operating Costs, Restructuring Profit Logic

As AI transitions from “training models” to “reasoning models,” the industry officially moves from the research and development phase into commercial application. Reasoning models possess logical deduction, self-reflection, and complex problem-solving capabilities. However, these advanced capabilities have caused AI operational costs to skyrocket, forcing the tech industry to redefine its expectations of AI as a tool for massive cost reduction and profit maximization.

CyCraft’s XCockpit Threat Exposure Management Platform features built-in AI reasoning models that triage thousands of alerts in real time, automatically providing mitigation recommendations and effectively eliminating alert fatigue. From overall security posture scoring to specific actionable tickets for individual alerts, XCockpit transforms defensive benefits—which were historically difficult to define—into concrete, quantifiable technical metrics. This embodies CyCraft’s pragmatic philosophy: the value of defense must be visible, and it must be measurable.

Standing at the Frontier of AI Security, CyCraft Advances Commercial Implementation with Profound R&D Momentum

Deeply integrating AI with cybersecurity, CyCraft has launched XecGuard and XecART—two major AI security products deployable across both cloud and on-premises environments, both featured on the OWASP AI Security Map. These solutions directly address the core pain points of Agentic AI, LLM, and GenAI applications. XecART utilizes Agentic Red Teaming to run multi-round stress tests on models, identifying risks and generating compliance reports that adhere to international standards. Meanwhile, XecGuard acts as a real-time Guardrail for LLMs and AI Agents, intercepting anomalous inputs and outputs. One solves “how to stress-test AI,” while the other solves “how to protect AI,” providing the fundamental AI governance for enterprises.

CyCraft’s research achievements are equally outstanding. The CyCraft research team recently presented at the International Conference on Machine Learning (ICML), one of the world’s top three prestigious academic conferences for AI and machine learning. The research focused on Retrieval-Augmented Generation (RAG) Data Poisoning. Utilizing their self-developed “Eyes-on-Me” attack framework, the team proved that attacks can simultaneously breach both the retrieval and generation phases. The end-to-end average attack success rate surged from 21.9% to 57.8%. This breakthrough exposed a long-neglected vulnerable attack surface existing between “attention focus” and “model output.”

In 2025, the CyCraft research team was also selected for NeurIPS, one of the most iconic academic sanctuaries in the AI field. The team proposed an innovative “unified supervision framework” that embeds verifiable checkers into synthesized instruction-conflict instances, enabling self-supervised learning without requiring oracle labels or reasoning traces. This framework not only applies to different models but also significantly enhances both safety robustness and instruction adherence.

CyCraft believes that as AI moves from R&D to commercial deployment, the barrier for enterprises is no longer “whether they can use AI,” but “whether they can use AI responsibly.” Once Agentic AI enters financial transactions, government services, or critical infrastructure, every autonomous decision must leave a traceable path, accept auditing, and allow for real-time human intervention when necessary. This is true AI governance. It is not a compliance document, but a complete control chain stretching from pre-launch to runtime, and onto post-incident traceability.

CyCraft deconstructs this control chain into three actionable phases: XecART stress-tests model risks before deployment; XecGuard safeguards inputs and outputs during runtime; XCockpit quantifies the overall risk posture into traceable metrics. Interlocking these three components ensures that every step AI takes is visible, manageable, and auditable. CyCraft’s objective is clear: make AI behavior measurable before its value can be priced. Ultimate technical leadership must be converted into commercial resilience that is governable, auditable, and open to investor scrutiny.

The technological revolution of AI Reasoning Models and Agentic AI is an undeniable reality. The ultimate challenge lies in whether enterprises can implement “controllable, auditable, and highly transparent” AI governance within real-world commercial environments. From being recognized in international research reports to taking the stage at top-tier academic conferences, CyCraft continues to prove that from visionary R&D to product commercialization, Taiwan’s AI cybersecurity prowess helps herald the future of a secure, trusted, and prosperous AI era.

Reports
Gartner, Emerging Tech: AI Vendor Race: Reasoning Models Reshape Providers’ Approaches to AI Pricing, 5 June 2026.

Disclaimer
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Hashtag: #CyCraftTechnology

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About CyCraft

By K Raveendran Nitin Gadkari has invested considerable political capital in presenting ethanol-blended petrol as a national solution to several problems at once. It is meant to cut India’s crude oil import bill, reduce emissions, support farmers, create a market for agricultural produce and strengthen energy security. Each of these objectives has merit. Yet the […]

The article Gadkari’s Ethanol Defence Is Losing The Public Argument appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).