Explore how Arango Contextus combines graph neural networks (GNNs) with large language models (LLMs) to lead enterprise AI from traditional RAG document retrieval toward GraphRAG context discovery, proactively identifying hidden business risks and cross-system relationships.
Faced with human-related cybersecurity risks, how can enterprises effectively prevent data breaches? This article provides an in-depth analysis of the latest enforcement cases, covering vulnerabilities in public code repositories, data APIs, and malicious activities by former employees. By combining Hongke’s KnowBe4 phishing simulations, AIDA real-time coaching, and compliance requirements, we help Hong Kong enterprises build a robust defense system that integrates technology, policies, and personnel.
Failed Enterprise AI Implementation? The Problem Isn’t the LLM Model! Hongke analyzes the devastating impact of the “Enterprise AI Context Gap” on Copilot and Agentic workflows and introduces the Redis Iris real-time context layer architecture to help B2B enterprises in Hong Kong and Southeast Asia build high-return AI systems.
An in-depth analysis of how enterprises can transition from single LLM API calls to autonomous agentic systems. This article compiles real-world examples of AI agent deployments in production environments across six major industries, including retail and finance, and breaks down the underlying infrastructure logic—such as high concurrency, cross-interaction memory (Memory Infrastructure), and distributed state persistence.
An in-depth analysis of how enterprises can transition from single LLM API calls to autonomous agentic systems. This article compiles real-world examples of AI agent deployments in production environments across six major industries, including retail and finance, and breaks down the underlying infrastructure logic—such as high concurrency, cross-interaction memory (Memory Infrastructure), and distributed state persistence.
Generative AI phishing attacks are surging, and technical defenses alone are insufficient to counter social engineering. This article provides an in-depth analysis of the latest data from HKCERT, as well as key regulatory compliance requirements under the PDPO, HKMA CFI 2.0, and SFC. It also explains how to use KnowBe4 to establish a continuous human-factor risk management cycle and automated training exercises.
An urgent email from the CEO requesting a wire transfer could be a Business Email Compromise (BEC) scam! Scammers impersonate the CEO, CFO, or a supplier and use their positional authority, along with urgent and confidential language, to trick employees into making wire transfers, changing bank accounts, or disclosing sensitive information. This article breaks down common CEO fraud tactics and shares prevention strategies for businesses, including KnowBe4-style security awareness training, simulation exercises, one-click reporting, independent payment verification, and dual approval processes—all designed to help organizations thwart these scams.
The Hong Kong Monetary Authority’s “Beware of Scammers!” anti-fraud checklist is continuously updated, exposing scammers who impersonate banks and create fake websites, emails, and apps. Phishing attacks are becoming increasingly industrialized, and nearly all of Hong Kong’s major banks have been targeted by imposters. Relying solely on firewalls and email gateways makes it difficult to block social engineering attacks that bypass technical checks; what scammers truly exploit is people’s sense of urgency and trust. KnowBe4-style cybersecurity awareness training employs a closed-loop “assessment, training, simulation, feedback” approach. Through simulated phishing attacks, microlearning, real-time coaching, and quantifiable reports, it continuously enhances employee vigilance, transforming employees from the weakest link into the first line of defense.
Hackers Are Targeting Healthcare Organizations! An IBM report indicates that the cost of a healthcare data breach can reach as high as $7.42 million. This white paper analyzes the risks associated with telemedicine, AI agent prompt injection, and KnowBe4 cybersecurity training to help Hong Kong healthcare organizations strengthen their security defenses.
Cybersecurity Training Solutions for Hong Kong Financial Institutions (Banks, Securities Firms, and Insurance Companies). Designed to meet the compliance requirements of the Hong Kong Monetary Authority (HKMA) and the Securities and Futures Commission (SFC), these solutions help prevent Business Email Compromise (BEC), OTP phishing, and deepfake attacks. Utilizing KnowBe4’s automated simulation exercises, this solution establishes a human-factor risk management mechanism with a complete audit trail.
