Why AI Is Bad for Business Security: Shadow AI, data leakage, and the hidden risks of enterprise AI adoption — June 27, 2026

Published 27 Jun 2026 · ai, business security, shadow ai, data leakage, cybersecurity news

The Current State of Why AI Is Bad for Business Security in Late 2025 As of June 27, 2026, the landscape of enterprise AI adoption has evolved from nascent experimentation to ubiquitous, often unmanaged, integration. We're past the theoretical discussions of AI's potential and deep into the messy reality of its pervasive deployment, bringing with it a torrent of security challenges. My colleagues and I at AGMP Partners have witnessed firsthand the operational drag and outright breaches stemming from unmitigated AI risks. The threat landscape has morphed significantly. Attackers have weaponized AI/ML models not just for advanced social engineering and polymorphic malware generation, but more alarmingly, for reverse-engineering proprietary ML models and extracting training data. We're seeing sophisticated prompt injection attacks that bypass established content filters, and data poisoning