The bank's board had made its request clear: produce a comprehensive picture of AI usage across the organization — what tools were running, where they were being accessed, what data they were touching, and which identities were interacting with high-risk systems. Regulatory scrutiny was intensifying, internal audit had set new expectations, and the growing suspicion of unsanctioned shadow AI activity had made the question impossible to defer.
The bank has industry-standard security controls in place. None of them were designed to detect or classify modern AI usage. AIBound was deployed agentlessly, integrating into the environment within 24 hours with zero disruption.
Within four hours of connecting, a fully structured shadow AI risk report was in hand — covering every AI tool in use, every access point, every data exposure risk, and every identity interacting with high-risk AI systems. The report was not a one-time snapshot. It updates continuously and can be generated on demand for audits, regulatory inquiries, or board meetings.
