What is Shadow AI? A Complete Overview of Hidden Organizational Risks and Management Strategies
Shadow AI refers to unauthorized, uncontrolled AI use. Learn about 5 key risks—including data leaks and lack of visibility—and how to manage them.
AI & LLM × Security
Security-focused articles for enterprise AI and LLM adoption, covering data protection, governance, and implementation risk.
AI Governance Design for Hybrid BPO Organizations: A Guide to Defining Clear Lines of Responsibility
Explains management frameworks and practical procedures for clarifying "who is accountable for AI decisions" in BPO operations where humans and AI coexist.
How to Automate Financial Regulatory Reporting with RegTech AI Agents
Learn how to implement AI agents for ASEAN financial regulatory compliance. Explore an end-to-end architecture automating report generation and submission workflows.
LLM Internal Guideline Development Guide: How to Create Operational Policies to Prevent Shadow AI Risks
Explains how to create guidelines for safely managing LLM & generative AI use in-house—covering shadow AI data leak prevention to approval workflows and training programs for practitioners.
LLM Guardrails Comparison: Selection Criteria for Multi-Layer Defense with NeMo Guardrails, Prompt Shields, and More
Compare NeMo Guardrails, Azure Prompt Shields, LlamaGuard & more. A practical guide to selecting the best multi-layered LLM defense—covering criteria, costs & threats.
AI Agent Governance and Guardrail Design | A Framework for Preventing Autonomous Execution Risks
Practical framework for preventing autonomous agents from causing cascading failures in enterprise systems—covering action auditing, permission scoping, and escalation design.
On-Premises LLM Implementation Guide: Secure Internal Data Utilization with Model Distillation
Learn how model distillation refines small models with your own data—no cloud API needed—plus on-premises implementation steps for enterprises with strict security requirements.
Introduction to "Model Editing": Correcting LLM Knowledge Without Retraining
Explore Model Editing & Machine Unlearning techniques to precisely remove or correct misinformation without full retraining, including PDPA "right to be forgotten" compliance.
LLM Security Implementation Guide | OWASP Top 10 Compliant with TypeScript Code
Explains multi-layered defense architecture compliant with OWASP Top 10 for LLM 2025 with TypeScript code. Covers prompt injection detection, PII masking, RBAC, output validation, and audit logging patterns.
How to Isolate AI Agents in a Sandbox — An Implementation Guide for Protecting Internal Data and Credentials
Protect internal data from autonomous AI agents with sandbox isolation. Learn file, network & process separation plus network policy design for AI governance.
Building an AI Governance Framework for Companies Expanding into ASEAN | Risk Management for Multi-Country Operations
Learn how to build an AI governance framework across multiple ASEAN countries. Covers committee design, regulatory compliance, monitoring, auditing, and common pitfalls to avoid.
How Law Firms and Legal Professionals in Laos Can Get Started with LegalTech Using AI — Automating Contract Review and Multilingual Due Diligence
Laos law firms: step-by-step guide to adopting AI legaltech (contract review, multilingual due diligence, legal research) in a booming market. Covers confidentiality, PDPL cross-border, and ethics.
