How to Build a Resilient AI and Data Security Framework for Your Enterprise
In today’s data-driven economy, artificial intelligence (AI) is transforming how enterprises operate—from optimizing workflows to personalizing customer experiences. However, as organizations increasingly rely on AI models that consume vast amounts of sensitive data, traditional cybersecurity frameworks are proving inadequate. Conventional data security models focus on perimeter-based defenses, static controls, and reactive monitoring. In contrast, AI systems are dynamic, self-learning, and often opaque—introducing new vectors for attack, regulatory risk, and ethical uncertainty. Adversaries are already leveraging AI to launch sophisticated threats such as deepfakes, adversarial inputs, and automated phishing campaigns. At the same time, global regulatory bodies—from the U.S. SEC to the EU AI Act—are tightening compliance expectations, requiring organizations to adopt auditable, explainable, and secure AI infrastructures. This guide provides a comprehensive roadmap for enterprises l...