How to identify and mitigate shadow AI risks in organizations using an AI Gateway
Blog post from Portkey
The rapid adoption of generative AI tools has led to the emergence of "shadow AI," where teams use AI models without formal approval, raising significant risks for enterprises, including compliance violations, data leaks, and budget overruns. Shadow AI often bypasses traditional security, procurement, and compliance processes, making it difficult for IT and legal teams to govern its usage. Key risks involve data leaks, fragmented spending, reputational damage from unvetted outputs, and security blind spots. To mitigate these risks, organizations can implement an AI gateway, such as Portkey, which centralizes control and visibility over AI usage by routing all AI calls through a single interface. This approach ensures vetted model access, eliminates personal API keys, enforces guardrails, and allows for accurate cost allocation. Best practices to prevent shadow AI include clear AI usage policies, regular monitoring and auditing, team education on risks, and promoting responsible AI usage through shared tools and prompts. Implementing an AI gateway turns shadow AI into governed AI, fostering innovation while maintaining compliance, security, and cost management.
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