Enterprises claim visibility into AI but over half have shadow usage fears

According to new research, 90 percent of enterprises say they have visibility into their AI footprint, yet 59 percent have confirmed or suspect the presence of shadow AI within their environments, suggesting that employees are operating unsanctioned AI tools or deploying agentic AI systems outside established monitoring and governance processes. The survey from ArmorCode, in partnership with the Purple Book Community, of over 650 cybersecurity decision-makers also finds that 70 percent of organizations have confirmed or suspected vulnerabilities introduced by AI-generated code in their production systems. This highlights how the speed of AI-assisted development is outpacing traditional security review cycles.

The report paints a picture of organizations racing toward AI adoption without the guardrails to keep pace. On the surface, enterprises appear confident—90 percent claim full visibility into their AI usage. But beneath that veneer of control lies a more chaotic reality. Nearly six in ten organizations are either aware of or suspect the existence of “shadow AI,” a term that refers to AI tools and systems being used without formal approval or oversight. This underground AI activity is often driven by employees eager to boost productivity, but it introduces significant risks, from data leakage to compliance violations.

The survey also uncovers a troubling trend: 70 percent of organizations have found or suspect that vulnerabilities have been introduced into their production systems by AI-generated code. As developers increasingly rely on AI to accelerate coding, the traditional security review process is struggling to keep up. The result is a perfect storm of rapid innovation and latent risk, where the very tools meant to streamline operations are quietly undermining them.

ArmorCode’s findings underscore a critical gap in enterprise AI governance. While companies invest heavily in AI capabilities, many lack the processes and tools to monitor, control, and secure these deployments effectively. The rise of shadow AI is not just a technical issue—it’s a governance and cultural challenge, reflecting a disconnect between IT leadership and the workforce’s appetite for AI-driven solutions.

The implications are far-reaching. Without robust oversight, organizations risk not only security breaches but also regulatory penalties and reputational damage. The survey suggests that enterprises must urgently rethink their approach to AI, balancing innovation with accountability. This means implementing comprehensive visibility tools, establishing clear policies for AI use, and fostering a culture of responsible AI adoption.

As AI continues to evolve, so too must the strategies enterprises use to govern it. The current landscape—where visibility is claimed but control is elusive—highlights the need for a new era of AI governance, one that keeps pace with both the technology and the ingenuity of those who use it.

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