The rapid adoption of artificial intelligence (AI) in workplaces has given rise to a new challenge—Shadow AI. Thisnhas been referred to the unauthorized use of AI tools by employees without the knowledge or approval of their organization’s IT or compliance teams.
In this exclusive interview, the co-founder of Alluvium, Taiwo Ojo, an expert in AI governance and risk management, explains why businesses across the world need to take this growing phenomenon seriously.
Speaking with Remote Work News Magazine, Taiwo likened Shadow AI to Shadow IT, where employees use unauthorized software to enhance productivity.
He noted that workers are now relying heavily on AI-powered tools such as ChatGPT, MidJourney, and GitHub Copilot to speed up tasks, automate processes, and generate insights.
However, he said while these tools offer efficiency, they also introduce security, compliance, and ethical risks, warning that businesses failing to address Shadow AI could face very serious financial, reputational, and legal challenges.
According to him, unauthorized AI usage can lead to data security breaches, regulatory violations, misinformation, and biased decision making , noting that organizations must take proactive steps to manage AI adoption before these risks spiral out of control.
Highlighting a real-world example, Taiwo shared the case of a financial analyst who unknowingly exposed sensitive client information by using ChatGPT. The employee had uploaded confidential financial data to an external AI platform, unaware of the security implications.
The breach he said forced the company to reassess its AI policies, reinforcing the need for stricter compliance measures. Despite the risks, the Alluvium co-founder acknowledged that AI is a valuable tool when used responsibly.
He also cited a multinational tech company that successfully managed Shadow AI by setting up an internal AI governance team.
The AI expert narrated that instead of outright banning AI tools, the company created a structured process where employees could request access to vetted AI solutions. This he said ensured security while allowing workers to harness AI’s benefits.
To prevent Shadow AI from becoming a liability, Taiwo outlined four key strategies that businesses should implement.
First of his recommendations was that companies must develop a clear AI policies, specifying which tools can be used, under what conditions, and by whom. Secondly, organizations should encourage responsible AI adoption by providing employees with approved AI solutions that meet security and compliance standards.
The third strategy mentioned by Taiwo was AI audits and monitoring to track AI usage across departments and detect unauthorized applications.
Lastly, he stated that businesses should prioritize AI educationbby training employees on ethical AI usage and the consequences of violating company policies. The AI expert emphasized that raising awareness is crucial in mitigating AI-related risks, predicting that AI governance will become a top priority for businesses as AI adoption grows.
He recommended stricter global regulations to be introduced, compelling companies to formalize their AI governance frameworks.
He stressed that Organizations that act now—by establishing AI ethics committees and investing in AI risk management—will gain a significant competitive edge, charging companies struggling with Shadow AI to embrace AI responsibly, rather than resist it.
He argued that AI, when properly managed, can be a powerful ally that enhances productivity and decision-making. However, organizations must strike a balance between innovation and security to avoid unintended risks.
For businesses unsure where to start, Taiwo recommended seeking expert guidance. “AI governance is not something to overlook. Companies that fail to implement a structured approach now may find themselves facing regulatory scrutiny and operational disruptions in the future,” he cautioned.
He also urged senior executives to facilitate a culture of AI responsibility, ensuring that employees understand the impact of their AI-related decisions. Without proper oversight, businesses could fall victim to data leaks, biased algorithms, or compliance failures that could harm their reputation and bottom line. He believes that organizations must stay ahead of the curve by actively shaping their AI policies while encouraging businesses to invest in continuous AI risk assessments, ensure that their AI strategies align with both industry standards and regulatory requirements.
He concluded by noting that Shadow AI is not a problem to be ignored in the contemporary world. The sooner companies acknowledge and address it, the better positioned they will be to leverage AI’s benefits without exposing themselves to unnecessary risks. “AI is here to stay, the question is whether businesses will control AI, or let AI control them.”