As organisations in the Lao PDR begin adopting AI-powered features, a fundamentally new security attack surface emerges. The OWASP Top 10 for LLM Applications 2025 provides the internationally recognised framework for understanding and testing these AI-specific risks.
AI applications face risks that traditional security testing cannot detect. Prompt injection manipulates model behaviour through crafted inputs. Sensitive information disclosure allows extraction of internal data from the model. Excessive agency enables AI tools to perform unintended actions. The 2025 edition adds two new categories: System Prompt Leakage and Vector and Embedding Weaknesses.
Regardless of the specific regulatory environment, the technical need is clear: AI applications that process data must be tested against real-world AI-specific attack techniques before deployment. The OWASP framework provides the baseline, and expert human testing provides the depth.
Our AI/LLM VAPT service tests against the complete OWASP Top 10 for LLM Applications 2025, combining traditional application security with AI-specific attack techniques to find the vulnerabilities that conventional testing misses.
*This article references the OWASP Top 10 for LLM Applications 2025.*