n the age of AI, especially now that AI agents are deeply integrated into enterprise systems, we have reached a point where we need to consider new security models.​In this blog post, we introduce an in-depth analysis of how QueryPie combines MCP (Model Context Protocol) and PAM (Privileged Access Management) to strengthen AI governance and make AI usage within organizations safer and more responsible.

Post-quantum cryptography (PQC) refers to the field of computing focused on developing secure algorithms and systems to counter the potential threats posed by quantum computers. Quantum computers, which process information using the principles of quantum mechanics, have the potential to break many of the encryption systems currently used to protect digital communications, data storage, and transactions.Most of today's encryption methods (such as RSA and ECC) rely on the fact that it is extremely difficult for classical computers to solve certain mathematical problems. For example, factoring large numbers or solving discrete logarithms is computationally expensive for classical computers. However, quantum computers, which can process information in superposition and perform operations in parallel, can solve these problems much more efficiently using algorithms like Shor's algorithm.PQC aims to create cryptographic systems that can resist the power of quantum computers. This includes developing new algorithms for encryption, key exchange, and digital signatures that do not rely on vulnerabilities that quantum computers could exploit.Transitioning to post-quantum cryptography is an active measure to ensure data security in the future when quantum computers may be able to break today's encryption systems. This field is evolving rapidly, and researchers are working to standardize quantum-resistant algorithms through initiatives such as the National Institute of Standards and Technology (NIST) Quantum-Resistant Cryptography Project. 

QueryPie is a data security solution that enables access control and auditing of all IT systems, including databases, servers, containers, and web applications, from a single location.Based on the Zero Trust security framework, it offers a single solution for various infrastructure-wide access control solutions, including database access control, system access control, web application control, Kubernetes access control, and AI data discovery.

Learn how Terraform can simplify and accelerate the provisioning of disaster recovery-related infrastructure while reducing costs, enabling it to play a critical role in disaster recovery strategies.

As the digital financial environment undergoes rapid changes, the security paradigm in the financial sector is also undergoing a paradigm shift. The Financial Security Agency is establishing a “Financial Sector Self-Regulatory Security Framework” centered on six key areas—governance, risk identification and management, internal control and protection, detection and response, supply chain, and resilience—to enable financial institutions to establish and operate their own security regulations.​Financial institutions must move away from regulation-centric security and strengthen their autonomous security capabilities. To effectively operate these capabilities, reliable security solutions are essential. CloudNetworks provides a variety of security solutions to help the financial sector efficiently operate its autonomous security framework in line with these changes.​In this blog, we introduce the 10 key issues for digital finance and cybersecurity in 2025 selected by the Financial Security Agency, along with CloudNetworks' security solutions that support the effective operation of self-regulatory security in the financial sector.

NetScaler's Priority Order Load Balancing enables high availability, smooth upgrades, canary deployments, geofencing, and more.In this blog post, we'll introduce NetScaler Priority Order Load Balancing and its benefits.