Vulnerability-Hunting

Vulnerability hunting is the proactive process of identifying, discovering, and documenting security flaws and weaknesses in AI systems before malicious actors can exploit them. For enterprise governance, this practice is critical because AI models and their underlying infrastructure present novel attack surfaces that traditional security testing may not cover, including prompt injection vulnerabilities, model poisoning risks, and data leakage pathways. Organizations that institutionalize vulnerability hunting reduce their breach likelihood and demonstrate due diligence in compliance frameworks like ISO 42001 and emerging AI safety standards.

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