Comment éviter le "shadow AI" en entreprise, cette bombe à retardement des DSI ?

The Shadow AI Threat

The article discusses the growing concern of 'shadow AI,' where employees use unauthorized generative AI tools like ChatGPT, bypassing company security protocols. This is fueled by restrictions placed on approved tools, leading employees and business units to seek alternative solutions independently.

Risks Associated with Shadow AI

Key risks highlighted include:

• Data Leaks: Sensitive data copied into LLMs can be lost to the tool's knowledge base.
• Compromised Code: Developers using LLMs for code can unintentionally introduce vulnerabilities or expose proprietary code.
• Increased Security Risks: The ease and perceived trustworthiness of LLMs can lead to decreased vigilance and oversight.

Mitigating Shadow AI

The article suggests a three-pronged approach to combat shadow AI:

1. Secure AI Access: Instead of outright bans, provide approved, secure AI solutions that meet company requirements. Offer alternatives to unauthorized tools.
2. Monitor AI Usage: Employ Zero Trust and endpoint monitoring tools to detect and address suspicious activities, focusing on understanding usage patterns rather than only blocking access.
3. Educate Employees: Integrate AI security awareness training into existing cybersecurity programs to promote responsible usage and understanding of related risks.

The adoption of sovereign and controlled AI models is also presented as a strategic goal to better manage data security.