Philippine enterprises are adopting AI across banking, fintech, and customer service. For BSP-supervised financial institutions, AI deployments introduce a new risk category that the BSP framework's security testing expectations cover. The Data Privacy Act's explicit requirement for "vulnerability identification procedures" applies equally to AI applications processing personal data.
The OWASP Top 10 for LLM Applications 2025 provides the testing framework, covering ten categories of AI-specific risk including Prompt Injection, Sensitive Information Disclosure, Excessive Agency, and two new entries: System Prompt Leakage and Vector and Embedding Weaknesses.
These risks cannot be detected by traditional automated scanning. Prompt injection, guardrail bypass, and agency abuse require human testers who understand both AI systems and offensive security techniques.
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. We have experience securing a major automotive operation in the Philippines and bring enterprise-grade AI security testing to the Philippine market.
*This article references the OWASP Top 10 for LLM Applications 2025 and publicly available Philippine regulatory information.*