AI-powered Data Loss Prevention for Financial Institutions

For financial services firms, Nightfall protects regulated information: customer financial records, investment strategies, trading algorithms, and account credentials across email, SaaS, AI apps and endpoints

Securing data for the world’s most innovative organizations

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User Testing
Exabeam
Klaviyo
Kandji
Deepwatch
Aarons
Notable
Telnyx
Genesys
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Critical Security Challenges for Modern Financial Institutions

“Financial technology organizations struggle as regulated data enters unauthorized AI apps, customer financial records lie unauthorized and unprotected in SaaS apps, secrets and credentials lie exposed in collaboration tools, and client portfolios are inappropriately shared with unauthorized recipients. Traditional DLP approaches fail to maintain compliance in today's collaborative, SaaS and AI-first environment.
Solution & Benefits

Critical Security Challenges for Modern Financial Institutions

Challenge 1

Exfiltration of Intellectual Property

The Problem

Investment strategies, trading algorithms, and financial models represent critical intellectual property that can be exfiltrated through email, cloud storage, or collaborative tools—by malicious insiders or through inadvertent actions.

Our Solution

Real-time monitoring of all digital channels with automated blocking and detailed forensics to identify when proprietary models are moving outside your sanctioned apps.

Your Benefit

Maintain your competitive advantage by preventing theft of proprietary data while enabling legitimate collaboration, with detailed context of attempted exfiltration.
Challenge 2

Shadow AI Risks for Financial Analysis

The Problem

Financial analysts and advisors increasingly use unauthorized AI apps that process sensitive client data and proprietary financial information, creating substantial regulatory and competitive risks.

Our Solution

Browser-plugins and lightweight endpoint sensors that monitor AI prompts before submission, preventing sensitive financial data and proprietary models from entering third-party AI platforms.

Your Benefit

Enable controlled AI adoption to enhance productivity while preventing regulatory violations that could result from unauthorized AI processing of sensitive financial information.
Challenge 3

Exposure of Credentials and Financial Data

The Problem

Financial services face unique risks when API keys, account credentials, and customer financial information become exposed in communication and collaboration tools, creating significant vulnerabilities.

Our Solution

AI-powered detection that identifies PCI information, secrets and credentials with 95% precision across all SaaS, AI apps.

Your Benefit

Prevent costly compliance violations and potential fraud by identifying exposed financial information before it can be exploited, all while enabling high employee productivity.

Use cases

The all-in-one data loss prevention platform
Time to Value

Prevent Data Leakage to Shadow AI

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Time to Value

Stop Data Exfiltration Anywhere

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Time to Value

Revoke Inappropriate Data Sharing

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Time to Value

Eliminate Sensitive Data Exposure

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