Use case

GenAI Security

Zero-touch data protection for the GenAI era.

Real-time visibility of data going to AI tools.

Automated redaction of sensitive inputs.

Seamless reporting for compliance with national and state privacy laws.

The Problem:

The integration of AI into the enterprise, while offering powerful advantages, fundamentally alters an organization's data security landscape. Traditional security measures, primarily designed to protect static data and defend against external threats, are ill-equipped to handle the dynamic data flows and processing activities associated with AI. This necessitates new, tailored data security solutions that can:

  • Monitor data in motion: Track data as it's accessed, used, and modified by AI algorithms in real-time.
  • Control access to sensitive data: Ensure that AI tools only access the data necessary for their intended function, preventing unauthorized exposure or misuse of confidential information.
  • Detect anomalous data flows: Identify unusual data patterns that may indicate a security breach or data exfiltration attempt by an AI system.
  • Adapt to evolving environments: Continuously monitor and secure traffic across rapidly changing cloud environments and 3rd party toolsets.

The Solution:

Riscosity’s comprehensive data security platform ensures organizations can take full advantage of GenAI technologies with effortless protection of sensitive information. Riscosity identifies data flows to AI tools across the organization and automatically redacts sensitive information en-route.

Riscosity’s LLM powered DLP engine makes setting rules for data protection as simple as having a conversation. Simply tell our platform the categories of information you’d like to protect and/or the regulations you’d like to ensure compliance with, and Riscosity handles the rest.