Maxwell Secures GenAI and AI Agents with Proofpoint

The Challenge

Protecting Sensitive Data, Employee Use of AI 

Mortgage lending requires organizations to process vast amounts of highly sensitive financial information. Every mortgage application contains detailed personal and financial data, making security and regulatory compliance foundational to Maxwell’s business. 

As the company expanded its use of AI, Maxwell faced two related challenges: 

• Protect employees from exposing sensitive customer data through unauthorized third-party GenAI tools. 

• Build secure, compliant AI-powered tools and agents that could automate document processing without compromising customer trust or regulatory requirements. 

At the same time, Maxwell saw a major opportunity to improve one of the industry’s biggest bottlenecks: reviewing and validating the millions of unstructured documents that flow through mortgage applications. 

Traditionally, document errors or incomplete submissions can take days to identify, delaying loan processing and increasing costs for both lenders and borrowers. Maxwell wanted to use AI to accelerate these workflows while ensuring every implementation met strict security standards. 

According to Rutul Dave, Maxwell’s Co-founder and CTO, choosing Proofpoint as their cybersecurity partner for AI extended beyond technology alone.  “We needed not only a partner who could give us a solution, but somebody who could help us think through that solution—more of a partner rather than a vendor.” 

The Solution

Secure AI and Agent Adoption at Scale  

Rather than viewing AI security as simply deploying another technology, Maxwell sought a partner that could help shape its overall strategy. 

Working with Proofpoint, Maxwell approached AI security on two fronts. 

First, the company focused on employee use of AI. Maxwell wanted visibility into which AI applications employees were using and needed safeguards to prevent sensitive mortgage information from being shared with unauthorized external AI services. Together, the teams developed monitoring capabilities, established secure usage practices, and created an AI safe-use policy that gave employees clear guidance while encouraging responsible adoption. 

Second, Maxwell incorporated secure AI agents into its own platform through intelligent document processing. The company’s AI agents analyze mortgage documents in real time, extracting key information, validating document quality, identifying potential manipulation, and confirming that borrowers have submitted exactly what lenders requested. 

Instead of waiting days for a lending team to review uploaded documents, borrowers receive immediate feedback when incorrect or incomplete documentation is submitted, allowing issues to be resolved much earlier in the loan process. 

“With Proofpoint, we worked in two areas. One was to ensure AI security for our employees who are using AI services and tools. And the second was AI security in the tools and agents we are building.”  Rutul Dave, Co-founder and CTO, Maxwell  

The Results

AI Accelerated Workflows, Customer Data Protected 

By combining AI innovation with a security-first approach, Maxwell established a framework that enables the organization to adopt AI and agents confidently while protecting sensitive customer data. 

Key outcomes include: 

• Greater visibility into employee use of AI applications, reducing the risk of sensitive information being shared with unauthorized services. 

• Organization-wide AI governance through clear policies and guardrails that support both innovation and compliance. 

• Secure deployment of AI agent document processing capabilities that automatically validate and analyze mortgage documents. 

• Faster identification of document issues through real-time AI feedback, helping reduce delays traditionally caused by manual review. 

• A scalable approach to AI adoption that balances productivity with the security and compliance expectations of the mortgage industry. 

Today, Maxwell continues to expand its use of AI while maintaining the governance, oversight, and customer trust required to support one of the most security-sensitive financial workflows.