Financial ServicesLLM Security for the Finance Industry
Financial data is some of the most sensitive data in the AI ecosystem and, as such, it faces threats from many angles. Personal consumer data, ranging from credit card numbers and identity numbers to account balances and spending habits, is under constant attack from identity theft rings, scammers, and other bad actors, and breaches can incur significant penalties for the organizations charged with protecting the data.
Attacks on financial data can affect not only the institutions breached, but can have damaging effects on the reputation of the industry, long-term investment strategy, and financial markets in general.
The inevitability of LLM adoption across the field adds one more layer of concern. CalypsoAI Moderator is the only holistic, LLM-agnostic approach to safeguarding data while deploying LLMs at scale and across the enterprise.
Attacks on financial data can affect not only the institutions breached, but can have damaging effects on the reputation of the industry, long-term investment strategy, and financial markets in general.
The inevitability of LLM adoption across the field adds one more layer of concern. CalypsoAI Moderator is the only holistic, LLM-agnostic approach to safeguarding data while deploying LLMs at scale and across the enterprise.
The Problem
An employee working on a highly confidential Mergers and Acquisitions project includes the project name in a prompt to an LLM. Even though doing so is strictly against company policy, there is no systematic safeguard in place to block that content from leaving the company system.
The Challenge
The company’s confidential information included in the prompt by the sender has been shared with an unauthorized third party and now resides on that system. The security of the third-party system is unknown, potentially exposing the information to additional risk of dissemination if that system is breached. The project information could also be included in the LLM’s knowledge base and, therefore, be accessible to all users, putting the organization’s competitive advantage at risk and potentially leading to financial loss and diminished shareholder value, and possibly legal ramifications.
The Solution
CalypsoAI Moderator’s data loss prevention (DLP) scanner is customizable to include user-established terms, such as employee numbers, and time-limited content, such as the project name, and other intellectual property. The identified information is blocked before it leaves your organization and the user is alerted that their prompt must be revised prior to being sent. All details of the interaction, including the prompt content, sender, LLM, and date and time, are recorded, providing full auditability and attribution. Beyond protecting proprietary content, CalypsoAI Moderator safeguards your organization’s operations by ensuring all LLM transaction data remains within the organization. CalypsoAI does not harvest telemetry or any other data about your organization’s LLM interactions.
