An NYSE-Listed Fintech Had Hundreds of Automations Running. Kanopy Found the Risks Before They Hit Production
See how an NYSE-listed fintech secured and governed hundreds of agentic automations and remediated 99% of its security debt in just three months.
As the company scaled AI agentic automation across business-critical workflows, hundreds of automations began interacting with sensitive financial and customer data. The business gained speed, but security teams were left with limited visibility, compliance concerns, and no efficient way to detect risks.
This case study breaks down how Kanopy helped the fintech move from reactive risk management to proactive automation security.
What You Will Learn
How automation growth created security blind spots
See how hundreds of agentic automations introduced new visibility, governance, and compliance challenges.
Why traditional AppSec could not cover shadow AI risk
Understand why standard appsec tools were not designed to scan, monitor, or protect agentic automations at scale.
How sensitive data raised the stakes
Learn how automations accessing customer details, financial records, and regulated data made misconfigurations a business-critical security concern.
How Kanopy delivered visibility in minutes
Discover how Kanopy’s agentless architecture mapped automations, users, environments, and data connectors without disrupting operations.
How developers fixed issues without bottlenecks
See how contextual, developer-friendly remediation guidance helped automation teams resolve risks independently.
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