Raj, the Chief Technology Officer of a major U.S. insurance company, oversees both IT operations and the innovation pipeline across sales, underwriting, and claims. Few industries are as complex as insurance: regulatory requirements vary by state, by product, and even by the circumstances of the communication. Over the years, this complexity has resulted in privacy violations, malformed notices, and costly fines — not because teams were careless, but because the company lacked systems capable of understanding the nuances behind every piece of content.
In an attempt to reduce these risks, Raj’s team implemented traditional DLP tools. But they quickly ran into a familiar problem: the tools generated massive volumes of false positives, constantly interrupting the workflows of thousands of agents and adjusters. The security and compliance teams were overwhelmed with noisy alerts, leaving the organization essentially blind to the real content risks that mattered. The DLP system was ultimately reduced to detecting simple pattern matches, like Social Security numbers — a far cry from the precision the business needed.
At the same time, the company was preparing to introduce new GenAI initiatives to boost efficiency: Microsoft 365 Copilot for internal productivity, and a customer-facing chatbot to accelerate support operations. Raj knew AI had the potential to transform the company — but the CEO, burned by past compliance issues and failed DLP deployments, was hesitant to approve any broader rollout.
Searching for a way forward, Raj learned about Bonfy Adaptive Content Security, already selected by the CISO to protect against client-data mix-ups at egress points. Bonfy’s strength was in understanding content and context: which customer a communication referred to, whether state-specific rules applied, whether disclosures or caveats were required, and whether sensitive data should or should not be included.
Raj quickly realized that Bonfy could serve as the missing technical control for compliant communication across email, chatbots, and other channels used by agents and adjusters. Bonfy’s contextual accuracy would drastically reduce false positives, while enforcing the correct privacy language and regulatory notices based on state, product, and customer context.
With Bonfy in place, the CEO gained confidence that new GenAI applications could be adopted safely — without repeating the mistakes of the past. Raj secured approval to roll out Copilot, modernize the support center, and expand product offerings into additional states without the constant fear of regulatory missteps.
The result was transformative: improved productivity, fewer compliance incidents, and a data-security program aligned to how modern insurance organizations actually communicate. Bonfy provided the protective guardrails Raj needed, enabling the company to innovate confidently while safeguarding sensitive information and maintaining compliance across every jurisdiction.
