Single platform delivers multi-currency support, real-time visibility and seamless integration

SINGAPORE, March 11, 2026 /PRNewswire/ — Small and medium-sized enterprises (SMEs) across Asia Pacific are moving faster into global trade, but the complexity and limited visibility in corresponding payments processes continue to slow growth. Mastercard today announced that it is introducing Mastercard Global Commerce Suite for Small Businesses, a set of holistic capabilities powered by Mastercard Move, designed to help banks support the evolving, cross-border needs of time-strapped SMEs. It is available to banks and financial institutions in Hong Kong SAR, a key regional commerce hub, with plans to expand across select markets in Asia Pacific.

Digital commercial payments in Asia Pacific are forecasted to grow 14.7% annually through 2028, driven largely by the rapid digitization of SMEs and their increasing participation in cross-border trade. As demand rises, banks are under pressure to offer simpler, more connected payments experiences that reduce operational complexity while supporting international growth.

“SMEs want to move money across borders with the same speed and confidence as domestic transactions, but many banks remain constrained by legacy systems,” said Anouska Ladds, Executive Vice President, Commercial and New Payment Flows, Asia Pacific, Mastercard. “Mastercard Global Commerce Suite for Small Businesses aims to offer banks a powerful, scalable way to support SME growth by bringing payments, visibility, and control together in one platform that is purpose-built for cross-border commerce. It will enable banks to serve SMEs more effectively, while building the foundation for deeper, long-term relationships as their customers grow.”

Frictionless Global Commerce

A persistent hurdle for internationalized SMEs is the lack of in-house treasury and finance capabilities. Coupled with complex processes and stringent compliance requirements, vague timelines and limited visibility, the barrier remains high for businesses looking to expand in an especially volatile economy.

Through a single touchpoint, SMEs will be able to manage payments, collections, and expenses efficiently while benefiting from:

• Global finance flexibility: Pay and get paid confidently, like a local with virtual bank accounts in multiple currencies or a single multi-currency card.
• Seamless integration: App-based controls and API-driven connectivity to leading marketplaces and ecommerce platforms.
• Cash flow clarity: Near real-time payouts and clear tracking give better visibility and control.
• Security you can trust: Strong authentication and compliance functionalities reduce friction, fraud and costs.

Modernizing Commercial Payments

Across Asia Pacific, banks are modernizing how they serve businesses as commercial payments become more digital and data-driven by default. Mastercard is supporting this shift by helping banks simplify complex payment flows, connect fragmented systems, and deliver more consistent and integrated experiences across cards, accounts, and platforms.

By combining global network capabilities, embedded security, and API-driven connectivity, Mastercard enables banks to digitize commercial payments at scale. This approach helps banks respond more effectively to the evolving needs of SMEs while building a more resilient foundation to support long-term growth as global trade continues to expand.

Mastercard Move is Mastercard’s portfolio of global money movement capabilities, enabling banks, corporates, non-bank FIs, digital players and governments – and their customers – to send and receive funds across borders and payment types. It enables money to move quickly, safely and with ease, within and across more than 200 countries and territories, including high-demand, hard to access markets, and in more than 150 currencies, reaching nearly 17 billion endpoints and 95% of the world’s banked population. 

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

www.mastercard.com

SINGAPORE, March 11, 2026 /PRNewswire/ — Cohesity, the leader in AI-powered data security, today announced new enhancements across its data protection and security portfolio, reinforcing its foundation for enterprise AI resilience. The updates include new sovereign cloud partnerships, enhanced threat detection, and simplified packaging that brings enterprise-grade capabilities to midsize organizations.

In separate announcements, the company introduced its Enterprise AI Resilience strategy to power and protect AI initiatives, and Cohesity Data Security Posture Management (DSPM), powered by Cyera. Advancements to Cohesity Gaia further extend the company’s vision of unifying protection, security, and AI-driven insights within a single platform for the AI era.

“AI is increasing both the value of data and the risk surrounding it,” said Vasu Murthy, chief product officer, Cohesity. “Resilience today requires the ability to detect threats early, recover to a clean state, and maintain control across complex environments at the speed and scale modern enterprises demand. These updates build on the protection and security foundation organizations rely on as they operationalize AI. We’re also expanding how customers access, deploy, and use our platform. As AI becomes foundational to business, Cohesity delivers a unified platform that protects and secures data while accelerating innovation.”

Protection — Meeting Sovereign and Data Residency Requirements

Protecting enterprise data increasingly means addressing evolving regulatory, jurisdictional, and data residency requirements. Organizations need sovereign cloud architectures that extend beyond storage to support comprehensive cyber resilience.

Cohesity is gaining momentum in its sovereign cloud ecosystem through new collaborations with AntemetA and Singtel. These partnerships build on Cohesity’s role as a launch partner for the AWS European Sovereign Cloud and its certification as a Google Cloud Ready Regulated and Sovereignty Solutions partner. In Canada, Cohesity and Micrologic are partnering to deliver sovereign cloud data protection.

Security — Detecting Threats and Restoring to a Known Good State

As organizations operationalize AI, security and recovery must evolve to address new risks, including those introduced by AI tools and agents. Cohesity is enhancing threat detection and recovery capabilities to help organizations detect malicious activity early, support agent resilience, and restore systems to a known good state. Upcoming security enhancements include:

• Integrated threat scanning for self-managed Cohesity FortKnox environments. Enables threat scanning of vaulted data for customers with digital sovereignty requirements or those operating in isolated dark-site environments. This capability identifies malware and verifies clean recovery points before restoration.
• Integrated threat scanning for dark site Cohesity Data Cloud deployments. Allows malware and indicators-of-compromise scanning in environments fully disconnected from the public internet. This ensures resilience even in highly restricted deployments.
• Self-encrypting drives and integrated malware scanning for Cohesity NetBackup Flex Appliance. Protects data at rest and embeds malware detection directly within the appliance. These capabilities strengthen compliance and physical security, even if a device is removed.
• Cloud application environment recovery using declarative design. Rebuilds cloud environments from infrastructure-as-code configurations as a trusted baseline. This approach accelerates recovery, reduces configuration drift, and limits the risk of reintroducing vulnerabilities.

Cohesity also recently announced new security capabilities as part of its collaboration with Google: a managed service option for Cohesity FortKnox on Google Cloud and integration with Google Threat Intelligence and Google Private Scanning within Cohesity Data Cloud. These capabilities extend cyber vaulting to Google Cloud environments and embed secure sandbox inspection into backup and recovery workflows, helping identify hidden threats before data is restored.

Further strengthening its data security portfolio, Cohesity additionally announced today the introduction of Cohesity DSPM powered by Cyera. This solution delivers continuous discovery, classification, and posture analysis of sensitive data across cloud, SaaS, and AI-powered environments, enabling prioritized remediation and reducing exposure before incidents arise.

Insights – Accelerating Innovation with AI

With protection and security in place, organizations can turn their focus to innovation. Cohesity Gaia enables organizations to generate insights from data already protected within Cohesity Data Cloud. As part of its AI vision announcement, Cohesity introduced federated semantic search via the Model Context Protocol, enabling AI-powered enterprise applications such as Glean to access governed backup data securely. Cohesity also unveiled the Cohesity Gaia Catalog, which will enable teams to discover and access protected data directly from analytics platforms like Databricks and Microsoft Fabric.

Greater Access for Midsize Organizations

Enabling more organizations to operate securely and innovate at scale, Cohesity is introducing Cohesity Essentials, simplified pricing and packaging tailored for midsize organizations. This approach provides access to Cohesity’s enterprise-grade cyber resilience platform without enterprise-level complexity or overhead, making advanced protection, security, and AI-driven insights accessible to even more businesses.

About Cohesity

Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI-powered data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including 70% of the Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE.

Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more. 

New strategy strengthens AI infrastructure protection, mitigates agent-driven risk, and activates trusted enterprise data for secure AI adoption

SINGAPORE, March 11, 2026 /PRNewswire/ — Cohesity, the leader in AI data security, today unveiled its Enterprise AI Resilience strategy. This unified approach enables organizations to confidently adopt and scale AI by strengthening cyber resilience across the AI ecosystem.

AI adoption is accelerating, but for many enterprises, the pace of innovation is outstripping risk tolerance. As AI systems become embedded in core operations, organizations must manage new infrastructure and automation risks without slowing business transformation.

Cohesity’s Enterprise AI Resilience strategy enables enterprises to play strong defense, protecting AI systems and mitigating agent-driven disruption, so they can confidently go on the offense and harness AI to drive growth.

“By strengthening defense and enabling secure data activation, Cohesity is establishing enterprise AI resilience as the foundation for responsible, high-velocity AI adoption,” said Sanjay Poonen, CEO and President, Cohesity. “Enterprises need the confidence to manage AI-driven risk and recover quickly when disruptions occur. Cohesity provides the resilience foundation that protects AI infrastructure, governs data access, mitigates agent-driven risk, and unlocks the transformative power of trusted enterprise data.”

Defense: Protecting AI Infrastructure, Governing Data, and Mitigating Agent Risk

As AI systems move from experimentation into production, enterprises must extend cyber resilience across the full AI stack. AI agents increasingly interact directly with enterprise systems and data, expanding operational dependencies and introducing new risk surfaces.

Cohesity addresses three critical dimensions of defense:

Protecting AI and Agent Infrastructure

Enterprises must safeguard the infrastructure that builds and runs AI systems, including:

• AI agents and agent memory
• Vector databases
• Model configurations and policies
• Training and fine-tuning datasets
• Enterprise data stores

These components introduce a new stateful, machine-speed operational tier that requires coordinated, signal-driven recovery.

Cohesity preserves immutable snapshots of AI environments and enables synchronized, point-in-time recovery of agents, data, and supporting infrastructure, including files, databases, object storage, SaaS applications, vector stores, and agent memory, reducing downtime without full system rebuilds.

Protecting Against Rogue, Unintended, or Malicious Agent Actions

AI systems operate at machine speed. Logic errors, corrupted inputs, prompt injection, or malicious manipulation can trigger cascading automation mistakes in seconds.

Detection alone is insufficient. Organizations must contain and rapidly recover from unintended or malicious agent-driven activity.

Because AI agents operate across a broad enterprise ecosystem—spanning IT service management, observability, data platforms, and automation systems—effective remediation requires coordinated action across those environments. Through deep integrations with leading control and observability platforms, including ServiceNow and Datadog, Cohesity translates agent risk signals into automated, API-driven recovery workflows.

Anomalous behavior or policy violations can automatically trigger API-driven, point-in-time restoration—reducing mean time to containment in AI-driven incidents.

Governing Sensitive Data for AI

Continuous visibility and governance are essential as AI systems access sensitive enterprise data across cloud, SaaS, and hybrid environments.

Cohesity Data Security Posture Management (DSPM), powered by Cyera, discovers and classifies sensitive data, monitors access patterns, and supports governance controls across AI-accessible environments. Combined with Cohesity’s recovery capabilities, organizations can detect exposure or misuse and restore affected data and AI systems to trusted states.

Offense: Activating Trusted Enterprise Data for AI

Strong defense drives confident innovation.

Enterprises store vast amounts of unstructured and time-series data—often representing decades of institutional knowledge — within the Cohesity Data Cloud. Once protected and governed, this data can securely power AI initiatives.

Cohesity has announced federated semantic search via the Model Context Protocol (MCP), enabling AI-powered enterprise tools, including Glean, to securely access governed backup data without duplicating it or compromising compliance.

“AI agents are only as useful as the information they can securely access,” said Zubin Irani, VP of Partnerships at Glean. “Enterprises have decades of critical knowledge stored across systems, but much of it remains locked away. By enabling federated access to governed data in the Cohesity Data Cloud, we’re helping organizations bring that trusted context into Glean so AI can deliver more accurate answers and actions while maintaining strong security and compliance controls.” 

In addition, the upcoming Cohesity Gaia Catalog extends the Cohesity Gaia AI platform, so teams can securely access protected data directly from leading analytics platforms such as Databricks and Microsoft Fabric, without duplicating data or rebuilding ETL (extract, transform, load) pipelines.

By activating protected data directly from the Cohesity Data Cloud, organizations can improve data freshness, governance, and compliance, while empowering AI systems with trusted enterprise context.

A Unified Platform for Enterprise AI Resilience

All capabilities are delivered through the Cohesity Data Cloud, enabling organizations to:

• Protect data across on-premises, cloud, and SaaS environments
• Safeguard AI and agent infrastructure
• Govern sensitive data exposure across AI environments
• Rapidly recover AI environments and data to trusted states
• Activate governed enterprise data securely for AI and analytics

About Cohesity  

Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI-powered data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including 70% of the Fortune Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE.  

Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more.  

• USMCA updates, new tariffs, and the “new standard” for logistics and compliance, among other key topics

LAREDO, Texas, March 11, 2026 /PRNewswire/ — Port-Laredo, recognized as a key hub for overland trade between the United States and Mexico, today announced the PORT-LAREDO GLOBAL TRADE SUMMIT ’26, a high-level international gathering to be held July 13–14, 2026, in the City of Laredo, Texas—at the heart of one of the Western Hemisphere’s most dynamic trade corridors. Port-Laredo recorded $353.94 billion (USD) in international trade in 2025, an increase of $14.94 billion compared to 2024.

The Summit will bring together business leaders, foreign trade experts, public authorities, logistics operators, legal advisors, and compliance leaders to examine the forces reshaping North American trade: the USMCA review process, the evolution of multimodal logistics, and the operational shifts driven by new tariffs and non-tariff measures, with direct impacts on planning, costs, and supply-chain continuity.

According to WorldCity, based on official U.S. Census Bureau data, Mexico ranked as the United States’ top trading partner in 2025, ahead of other strategic partners. In that context, 2026 is expected to be a pivotal year as the agreement governing trade among the United States, Mexico, and Canada enters its review window. The Summit will provide a technical and executive forum to anticipate scenarios, priorities, and potential adjustments that may influence investment, operations, and compliance across the region.

Expected participants include foreign-trade advisors, Latin American customs professionals, shippers, and manufacturers in automotive parts, machinery, vehicles, and aerospace, as well as suppliers of materials and sub-assemblies—along with opportunities for direct engagement with U.S. Customs, the FDA, and other authorities and government agencies that form part of one of the most relevant international trade ecosystems in the Americas. https://portlaredo.com/global-trade-summit/

“Companies are entering a new phase in which logistics is no longer measured only by speed, but by regulatory certainty, traceability, data quality, and documentary compliance,” organizers said. “In just-in-time environments, even small errors in data, classification, documentation, or process design can translate into delays, costs, audits, and contractual risk. This Summit is designed to turn those challenges into operational advantages,” said Javier Amieva, CEO of Americas Trade Alliance, a co-organizing entity.

Program tracks will include a dedicated focus on multimodal transportation contracts; best practices for the accurate use of Incoterms® in contracting and invoicing—reflecting the level of scrutiny authorities apply to correct implementation; and practical guidance on the scope and use of certificates of origin, including the most common errors that disrupt clearance, weaken operational continuity, and increase friction impacting profitability and on-time delivery.

The PORT-LAREDO GLOBAL TRADE SUMMIT ’26 is designed primarily for nearshoring planners, customs brokers, 3PLs and logistics operators, and leaders in supply chain, finance, legal, and compliance, as well as companies that rely on cross-border flows for manufacturing, distribution, and retail.

Speakers will include recognized experts who participated in the development of the USMCA, as well as leading international trade specialists from both countries and distinguished global practitioners.

Registration & information: https://portlaredo.com/tradesummit

Media & press: Interviews and credentials available with advance registration.

About Port-Laredo

Port-Laredo is a leading land port in the Western Hemisphere and a top trade gateway between the United States and Mexico. Based in Webb County, Texas, Port-Laredo includes international bridges—such as the World Trade Bridge—an international airport, rail connectivity, and foreign-trade-zone operations.

• Led by AI Pioneer Yann LeCun, AMI Brings Together Top Talent from Meta and Google to Build Next-Generation “World Models”
• Advancing “Practical Intelligence” That Operates in Real-World Industrial Environments, Accelerating Transformation Across Manufacturing and Robotics
• SBVA to Serve as Strategic Bridge Between Global AI Leadership and Asia’s Industrial Ecosystem

SEOUL, South Korea, March 11, 2026 /PRNewswire/ — SBVA (CEO: JP Lee) announced today that it has committed a total of €30 million in the seed round of AMI (Advanced Machine Intelligence), a global frontier AI lab founded by Professor Yann LeCun, one of the world’s foremost pioneers in artificial intelligence.

The round includes participation from leading global institutional investors such as Greycroft Partners, Cathay Innovation, and Hiro Capital, as well as NVIDIA. In addition, prominent figures in the global technology industry, including Amazon founder Jeff Bezos and former Google Chairman Eric Schmidt, have also contributed capital to the round.

SBVA’s investment was made through its existing 2023 Alpha Korea Fund and Alpha Intelligence Fund, alongside its newly established Alpha AI Architecture Fund. Notably, the new fund includes prominent domestic and global corporations and institutions, including Coupang and Doosan, as limited partners (LPs), establishing a collaborative foundation to accelerate the adoption of next-generation AI architectures.

Yann LeCun, who leads AMI, was the founding director of Meta’s Facebook AI Research (FAIR) and a recipient of some of the world’s most prestigious honors in science and engineering, including the Queen Elizabeth Prize for Engineering and the ACM Turing Award. Widely recognized as a foundational figure in modern deep learning, LeCun is joined at AMI by leading researchers and engineers from Meta, Google DeepMind, and other globally renowned technology organizations. Together, they are building a global frontier AI research lab.

AMI is developing a next-generation World Model architecture centered on self-supervised learning and Joint Embedding Predictive Architectures (JEPA). Its goal is to enable AI systems to understand and reason about the world more like humans, realizing what the team describes as “practical intelligence” capable of operating in real-world environments.

SBVA will serve as a strategic partner connecting AMI with Asia’s industrial ecosystem. Through proof-of-concept (PoC) initiatives with major corporations, SBVA aims to support real-world industrial innovation. At the same time, it plans to foster technological collaboration across its portfolio companies in robotics, manufacturing, and AI, enabling Korean startups to adopt next-generation World Model architectures early and expand jointly into global markets.

“We are grateful for SBVA’s support and for its commitment to long-term scientific work,” said an AMI official. “It reflects our global vision and ambition and underscores our commitment to building deep partnerships in Korea and across Asia.”

“AMI is a leading pioneer of ‘world model’ AI designed to understand the physical world,” said JP Lee, CEO of SBVA. “As the AI paradigm shifts toward physical AI, we believe this investment represents a pivotal moment to strategically connect the industrial ecosystems of Korea and Asia with next-generation AI technologies.”

• Successfully develops SiC Planar MOSFET process platform for 450V–2300V, securing high reliability and yield competitiveness
• Accelerates SiC-based compound semiconductor foundry business by initiating 1200V SiC MOSFET development for a new customer

SEOUL, South Korea, March 11, 2026 /PRNewswire/ — SK keyfoundry, an 8-inch pure-play foundry in Korea, announced that it has recently completed the development of its SiC (Silicon Carbide) Planar MOSFET process platform, which is gaining traction in the next-generation compound power semiconductor market. The company also revealed that it has secured an order for the development of a 1200V SiC MOSFET product from a new customer, marking its full-scale entry into the SiC compound semiconductor foundry business.

The new SiC Planar MOSFET process platform introduced by SK keyfoundry supports a wide voltage range of 450V to 2300V. It has proven its exceptional performance by securing high reliability and stability data particularly in high-voltage operating environments. In addition, through overall process optimization and precise control of core processes, the company has improved its yield to over 90% and enhanced productivity. Furthermore, SK keyfoundry stated that it offers a differentiated “customized process support service” that enables fine-tuning of electrical characteristics and specifications to meet specific customer requirements.

Alongside the completion of this process platform development, SK keyfoundry has secured an order for a 1200V high-voltage product from a customer specializing in SiC design and has initiated its development. This process will be applied to the customer’s industrial equipment, playing a critical role in thermal efficiency management. Following prototype evaluation and reliability verification, the company plans to begin full-scale mass production in the first half of 2027.

The development of this SiC Planar MOSFET process platform represents the first fruit of integrating the core capabilities of both companies following SK keyfoundry’s acquisition of SK powertech, a company specializing in SiC. Securing an actual customer order following the completion of technological development demonstrates that the platform has secured the level of maturity and competitiveness for immediate commercialization, moving beyond the technical verification stage.

“The development of this SiC Planar MOSFET process platform is an achievement that demonstrates SK keyfoundry has secured independent technological leadership in the global compound semiconductor market,” said Derek D. Lee, CEO of SK keyfoundry. “Based on our differentiated processes with high yield and reliability, we will continuously expand our high-voltage power semiconductor solutions to meet the needs of domestic and global customers.”

About SK keyfoundry

Headquartered in Korea, SK keyfoundry provides specialty Analog and Mixed-Signal foundry services for semiconductor companies to serve a wide range of applications in the consumer, communications, computing, automotive and industrial industries. With a broad range of technology portfolios and process nodes, SK keyfoundry has the flexibility and capability to meet the ever-evolving needs of semiconductor companies across the globe. Please visit https://www.skkeyfoundry.com for more information.

Quantifying LLM Reliability Across Risk Scenarios for Trustworthy Enterprise AI

SINGAPORE, March 11, 2026 /PRNewswire/ — Appier today announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and development efforts, Appier’s AI research team continues to focus on frontier topics in Agentic AI and Large Language Models (LLMs), exploring forward-looking technical challenges that push the boundaries of marketing technology innovation.

In its latest paper, “Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models,” the team introduces a systematic evaluation framework to measure how language models make decisions under different risk conditions. The approach significantly improves model reliability in high-risk scenarios through a novel methodological design.

The research addresses a key challenge in deploying Agentic AI in enterprise environments: ensuring that autonomous AI decisions are trustworthy. The findings further strengthen Appier’s technological leadership in AI while contributing practical insights for the broader Agentic AI ecosystem.

As enterprises move from AI copilots toward autonomous AI agents, reliability has become a critical barrier to adoption. According to a 2025 McKinsey survey, 62% of organizations have already begun experimenting with AI agents, yet inaccuracy remains the most commonly cited risk in enterprise AI adoption.

As an AI-native Agentic AI-as-a-Service (AaaS) company, Appier continues to translate cutting-edge research into enterprise-ready methodologies and product capabilities. This study specifically addresses two major enterprise concerns: AI hallucinations and decision reliability. To tackle this challenge, the research introduces a Risk-Aware Decision-Making framework that converts LLM decisions across varying risk conditions into quantifiable metrics, providing a stronger governance foundation for enterprise AI deployment.

Turning Risk-Aware Strategies into Quantifiable Metrics
Traditional LLM evaluations focus primarily on whether an answer is correct. In enterprise environments, however, the cost of being wrong and the value of refusing to answer differ significantly. The study introduces structured risk parameters—including rewards for correct answers, penalties for incorrect responses, and costs for refusal—to simulate different risk scenarios. Under this framework, models must evaluate their capability, confidence level, and risk conditions before deciding whether to answer, refuse, or guess. Decision quality is then measured by whether the model maximizes expected reward, providing a more realistic assessment of strategic decision-making.

Key Finding: Strategic Imbalance in Existing Models
Using the Risk-Aware Decision-Making framework, the research finds that many leading LLMs display strategic imbalance across risk scenarios. In high-risk settings, models often over-guess despite potential negative consequences. In low-risk scenarios, they may become overly conservative and refuse to answer too frequently. This inconsistency limits both the autonomy and safety of AI systems in enterprise environments. The study suggests the issue is not purely knowledge-related but stems from the model’s difficulty in integrating multiple capabilities into a stable decision strategy.

Skill Decomposition Enables More Optimal Decisions
To address this challenge, the research proposes a Skill Decomposition approach, breaking decision-making into three steps:

1. Task Execution — solving the task to generate an initial answer
2. Confidence Estimation — evaluating confidence in that answer
3. Expected-Value Reasoning — reasoning about outcomes under risk conditions

This structured reasoning process enables models to determine whether answering or refusing yields the best outcome. The approach allows models to better integrate multiple capabilities and produce more rational and stable decisions in high-risk environments, offering a practical path toward more reliable enterprise AI systems.

“For Agentic AI to operate in critical enterprise workflows, the key is not only making AI smarter, but making its autonomous decisions more reliable,” said Chih-Han Yu, CEO and Co-founder of Appier. “Appier has built its products around AI and continuously invested in world-class research. By turning LLM risk awareness into a quantifiable methodology, this research strengthens the foundation for trustworthy enterprise AI and helps accelerate the real-world adoption of Agentic AI and translate it into scalable business value and ROI.”

The research findings have been further integrated into Appier’s Agentic AI-powered platforms, including Ad Cloud, Personalization Cloud, and Data Cloud, helping enterprises advance autonomous workflows in a more reliable and trustworthy way.

Looking ahead, Appier will continue leveraging its strong AI research capabilities, proprietary data assets, and deep industry expertise to advance Agentic AI innovation and support enterprises in building more efficient and trustworthy AI-driven operations.

About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers business decision-making with cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by making software intelligent,” Appier endeavors to help businesses turn AI into ROI with its Ad Cloud, Personalization Cloud, and Data Cloud solutions. Now Appier has 17 offices across APAC, the US and EMEA, and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more company information, and visit ir.appier.com/en/ for more IR information.

For media queries, please email pr@appier.com