Jennifer, the Chief Information Security Officer of a publicly traded bank, carries responsibility for safeguarding some of the most sensitive information in the financial sector. The bank is subject to ongoing audits, evolving regulatory expectations, and high scrutiny from strategic customers, investors, and regulators. At the same time, it prides itself on being an early adopter of new technologies — including GenAI — to gain operational efficiency and competitive advantage.
As GenAI momentum accelerated, the CIO organization identified more than 100 potential use cases across private banking, investment banking, and consumer operations. Some would be internally developed; many would be delivered by third-party SaaS platforms embedding LLMs. To Jennifer, these innovations represented opportunity — but also enormous risk. Each project used different architectures, different APIs, and different vendors. Shadow AI was already emerging across the organization as teams experimented with AI tools outside formal approval.
The risks were real:
Jennifer’s team reviewed their security stack and realized they were in trouble. The bank had accumulated five different DLP systems over the years — one protecting a legacy application, two barely used due to overwhelming false positives, and two that were never deployed. None of them could meaningfully detect or prevent AI-era content risks. None understood business context, client relationships, record integrity, or regulatory caveats. And none could scale to 100+ GenAI initiatives.
She needed a unified, accurate, content-aware safety layer — not another tool that created noise or friction.
That’s when Jennifer turned to Bonfy Adaptive Content Security, recently validated in another part of the bank for client-aware data classification and labeling project. Bonfy could be used to evaluate content, context, and business logic across channels to prevent accidental disclosure and enforce policy at the moment of risk.
With Bonfy, Jennifer’s team could:
Armed with clearer visibility and precise controls, Jennifer was able to present a risk-managed AI adoption strategy to the CEO and board. Bonfy gave them confidence that GenAI projects could be rolled out safely — without repeating the DLP failures of the past.
Within months, the bank launched its first wave of GenAI-enabled capabilities: enhanced customer service automation, productivity tools for analysts and bankers, and improved workflows in operations. Productivity rose. Innovation accelerated. Regulatory concerns decreased.
Most importantly, Jennifer and her team could focus on enabling transformation, not manually triaging false positives or stitching together fragmented tools. Bonfy provided the guardrails that protected client information, preserved trust, and ensured compliance — all without slowing the pace of innovation.
