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Transforming Data Security: How AI Mitigates Content Risks in Banking
Jennifer, the Chief Information Security Officer (CISO) at a bank traded on the NYSE, faced a daunting task. The bank, like all others in the US, was subject to numerous regulations and routine audits to ensure its information security posture was robust. Known for being an early adopter of technologies, the bank sought to gain a competitive edge and improve efficiencies, which added another layer of complexity to Jennifer’s role.
Jennifer had to keep up with the rapid pace of innovation driven by the CIO team and various Lines of Business. With the emergence of GenAI technology, the bank identified over 100 potential use cases for GenAI. While some of these would be developed internally, the majority would involve third-party applications with embedded GenAI technologies.
Jennifer’s team struggled to find a practical yet comprehensive solution to mitigate the risks associated with these projects. Each project had its own unique technology, architecture, and vendor, compounded by the risk of Shadow AI—the unsanctioned use of GenAI technologies, whether in internal development or third-party applications. The risks were significant and concerning, including potential client information leakage in the private and investment banking divisions, as well as privacy violations and record integrity issues in the consumer banking division.
Upon reviewing their existing data security tools, Jennifer and her team found they had five different Data Loss Prevention (DLP) systems. Two of these systems had never been deployed, two were minimally configured due to high false positive rates, and only one was still in use, protecting a legacy banking application. None of these systems were adequate to address the risks posed by the new GenAI projects.
Determined to find a solution, Jennifer decided to introduce Bonfy AI to the bank. Bonfy has an advanced AI-based tool that could monitor communications and prevent incidents at a content level, Bonfy ACS™. Its architecture allowed the bank to reduce the number of data security products in use, implement a consistent policy across various use cases, and ensure that innovation with GenAI did not introduce new risks to the organization.
Bonfy ACS’ ability to analyze communications across multiple channels, such as emails and chatbots, and ensure compliance with privacy rules and regulatory caveats, was a game-changer. The system’s high accuracy in filtering content, with minimal false positives, provided Jennifer and her team with the confidence they needed.
With Bonfy ACS in place, Jennifer successfully secured the CEO’s approval for the rollout of new GenAI technologies. This allowed the bank to enhance its processes, improve productivity, and confidently expand its product offerings without the fear of regulatory fines or data breaches. The bank no
t only safeguarded its sensitive information but also maintained compliance with complex regulations, ensuring a smoother and more efficient operation.
Jennifer’s team could now focus on driving innovation while maintaining the highest standards of data security, reinforcing the bank’s commitment to protecting its clients and their information.
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