Author
Yuna Shin
AI Security Researcher
Articles by Yuna Shin
Rule Engine Augmentation vs Rip-and-Replace: The Smarter Path to Enterprise AI
Replacing a proven rule engine with an AI platform is the riskiest way to adopt AI. Learn why augmenting the else branch delivers coverage without the cost, risk, and disruption of a full rebuild.
August 28, 2026
AI-Based User Behavior Analytics Strategy: Paving the Way for New Horizons in Insider Threat Detection
Insider threats have recently surged, emerging as a core challenge in enterprise security. AI-based User Behavior Analytics (UBA), with its sophisticated pattern detection capabilities, overcomes the limitations of traditional security systems and is gaining recognition as an essential strategy for protecting an organization's critical assets. This article presents the latest trends and practical application methods of AI UBA.
August 24, 2026
KYRA AI Guardrail: A Complete Practical Guide to LLM Security and Prompt Injection Defense Strategies
This guide presents a practical application strategy for KYRA AI Guardrail, an essential AI security solution designed to counter the recent surge in AI-based attacks. It introduces core strategies for building secure AI systems against LLM security threats such as Prompt Injection and data leakage.
August 19, 2026
AI Security Innovation: Practical Strategies to Decipher Complex Threats and Strengthen AI Models with Graph Engineering and Harness Engineering
As the complexity of AI systems has recently increased, threats that are difficult to resolve with existing security methodologies are rapidly increasing. This article covers practical strategies for visualizing hidden attack paths with Graph Engineering and substantively enhancing the robustness of AI models using Harness Engineering.
July 30, 2026
Detecting Invisible Processes and Rootkits in Xen Hypervisor: Response Strategies for Kernel-Level Threat T1014
This article presents advanced strategies for detecting stealthily hidden processes and kernel-level rootkits in Xen hypervisor environments. It offers practical guidance to effectively counter MITRE ATT&CK T1014 and enhance system security through invisible monitoring techniques that possess anti-forensic resistance.
July 28, 2026
The Core of AI Model Training Data Protection: A Comprehensive Guide to Practical Application of Differential Privacy
As the risk of sensitive information leakage from training data increases during recent AI model development, the importance of Differential Privacy, a robust privacy-preserving technology, has been highlighted. This guide comprehensively covers Differential Privacy, from its concepts to actual implementation and operational strategies, ensuring effective data privacy while maintaining AI model performance.
July 24, 2026
Large-Scale Real-time Event Broker Architecture: A Comprehensive Guide to Utilizing Redis Pub/Sub and Kafka
Real-time data processing represents a critical challenge in large-scale services. This guide provides an in-depth exploration of strategies for designing and scaling a high-performance, highly available, large-scale real-time event broker architecture by leveraging Redis Pub/Sub and Kafka.
July 16, 2026
A Complete Guide to Open-source LLM Local Serving: Inference Performance and Cost Optimization Strategies with vLLM and Ollama
This article provides a practical guide for efficiently serving open-source LLMs such as Llama 3 and Mistral in a local environment and optimizing inference speed using vLLM and Ollama. It covers strategies for cost reduction and performance enhancement, including actionable tips and code for practitioners.
July 15, 2026
MSA 2026: A Complete Guide to Choosing the Optimal API Architecture Among REST, GraphQL, and gRPC
In the 2026 Microservices Architecture (MSA) environment, API selection is a critical factor determining system scalability and performance. This guide provides an in-depth analysis of the characteristics of REST, GraphQL, and gRPC architectures, presenting optimal selection criteria and implementation strategies from a practical perspective to facilitate successful MSA adoption.
July 14, 2026
Practical Strategies for Protecting AI Models from Data Poisoning Attacks: A Guide to Ensuring Model Integrity
The recent surge in data poisoning attacks severely threatens the reliability of AI models. This guide analyzes the challenges faced by AI development and security teams in the financial sector and presents practical strategies that combine AI-based anomaly detection with Zero Trust Data Governance to effectively protect AI models from data poisoning attacks. It details methods for ensuring model integrity through implementation processes utilizing SeekersLab's solutions.
July 9, 2026
LLM Red Teaming: A Comprehensive Guide to Core Frameworks and Practical Testing
The importance of LLM Red Teaming is growing for proactively detecting security vulnerabilities in rapidly emerging LLM-based services. This guide presents a practical approach to strengthening LLM security through core frameworks and practical testing examples.
June 26, 2026
Achieving Complete Zero Trust Implementation with AI-driven Network Traffic Analysis: A Practical Guide
In response to the recent surge in cyber threats, the implementation of a Zero Trust architecture through AI-driven network traffic analysis is imperative. This article overcomes the limitations of traditional security models and presents a practical guide and implementation strategies to revolutionize security systems through behavior-based threat detection and dynamic access control.
May 21, 2026
AI Agent-Based CSPM Automated Remediation: A Key Guide to Revolutionizing Cloud Security Operations
Cloud misconfigurations (CSPM) represent a major threat to cloud security, and automated remediation using AI agents has recently emerged as a critical approach. This article details practical methods by which AI agents can rapidly detect and remediate cloud security policy violations, thereby simultaneously enhancing efficiency and elevating security posture.
March 18, 2026
Mastering ML-Based Anomaly Detection for SOC: An Ultimate Practical Guide
Dive deep into Machine Learning-based anomaly detection for SOCs, exploring key strategies, implementation guides, and real-world applications.
March 11, 2026
The Complete GenAI Security Guide for Enterprises: Strategies for Safe Generative AI Use and Key Countermeasures
The rapidly emerging Generative AI (GenAI) technology drives enterprise productivity innovation but simultaneously introduces new security threats. This guide presents the latest security guidelines, practical strategies for enterprises to safely leverage GenAI, and countermeasures through SeekersLab solutions.
March 9, 2026
Revolutionize Your SOC: The Ultimate Guide to AI Agent-Based Security Automation
Discover how AI agent-based security automation is revolutionizing SOC operations, shifting from reactive to proactive defense and significantly enhancing incident response capabilities.
March 9, 2026