How AI Vulnerabilities Impact Data Privacy and Regulatory Risk
Artificial Intelligence is transforming enterprises, from automated decision making to predictive analytics and intelligent customer engagement. But as organizations rapidly adopt AI systems, a critical question emerges: Are your AI systems secure, compliant and audit ready? Traditional cybersecurity controls were built for applications and infrastructure. AI introduces a completely new attack surface, one that directly affects data privacy, compliance and regulatory risk . Let’s break down how AI vulnerabilities can impact your organization and how extending VAPT to AI systems is becoming essential. How AI Vulnerabilities Impact Data Privacy and Regulatory Risk AI systems are not just code. They involve: Training datasets Machine learning models APIs Data pipelines Inference layers Third-party AI integrations Each of these layers introduces unique risks. 1. Training Data Leakage Exposes Sensitive & Regulated Data AI models often learn from large volumes of data,...