How DFPM Protects Data in the Age of GenAI

Please see part Part I for our introduction to leveraging AI in the enterprise and Part II for why the legacy landscape falls short in the age of GenAI.

What is Data Flow Posture Management

Data Flow Posture Management (DFPM) platforms identify data flows and provide real time governance on those data flows. Leading DFPM platforms also automate the construction of a data exchange catalog, showing what tool or third party is receiving data, and the types of data being sent. 

Once organizations have a clear understanding of their data flows, they can use the DFPM platform to set simple rules and take action to protect their data in motion. Rule types include blocking, redacting sensitive data, redirecting api requests, etc.. For example, an organization could choose to set a rule to redact social security numbers being sent to a third party payment processor, or to redact the names of minors being sent to an analytics platform.

The Power of Data Flow Posture Management for GenAI

Data is constantly being shared with AI tools, both via individuals sharing data with browser-based LLMs and via third party tools integrated with AI platforms.. DFPM platforms like Riscosity are able to protect outbound dataflows in real time no matter the point of egress.

For the use case of individuals sharing data with tools like ChatGPT, Claude, or Gemini, Riscosity provides a state-of-the-art browser extension that allows employees to leverage leading public tools, while protecting any sensitive data shared in real time. Riscosity will replace unapproved data with anonymized versions, reducing the risk that sensitive information will accidentally be leaked. The extension will also catalogue attempts to share sensitive data and will educate users on why data is being redacted or blocked.

For data shared with AI tools via REST APIs (or other protocols) the Riscosity active data governance engine will automatically redact or block any requests containing sensitive data. The Riscosity data exchange catalog will map the data flows going to all AI tools. The Riscosity active data governance engine is also perfectly suited for scanning training data before it’s used to train an LLM. Riscosity will ensure that sensitive data isn’t unintentionally used to train models. For applications integrated with internal models, Riscosity can govern the results of querying LLMs to ensure sensitive data isn't inappropriately shared with the application.

DFPM For Compliance

The Riscosity platform not only provides automated data protection for GenAI, it also provides the necessary tools for attesting compliance with global privacy regulations, from GDPR in the EU, to DPDP in India, to CCPA and other state level laws in the United States. 

The Riscosity platform can automatically generate Records of Processing Activities (RoPAs) and Privacy Impact Assessments (PIAs). Reports that once took weeks to compile, were often inaccurate, and were already out-of-date at time of completion, can now be generated in seconds with accuracy.

Ready For Modern Data Protection?

Legacy tools continue to provide value, but Data Flow Posture Management is the modern solution for protecting data in the age of GenAI. But don’t take our word for it, book a demo to see the platform in action.