BigID, a leader in data security, privacy, compliance, and AI governance, has announced the industry’s first access control solution designed specifically for sensitive data in AI interactions. With its new prompt protection capabilities, organizations can now prevent data leaks at the source, stopping sensitive information from being exposed through AI copilots, chatbots, and virtual assistants.

As AI adoption continues to reshape workplace operations, employees increasingly interact with sensitive personal information (PII), financial records, and regulated data through AI prompts and responses. Consequently, organizations face an emerging risk landscape that traditional data loss prevention (DLP) and security tools were never designed to address. Without proper visibility or controls, enterprises are vulnerable to data exfiltration, insider misuse, compliance violations, and reputational damage.

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To address these challenges, BigID has developed innovative controls for AI-driven data interactions, providing enterprises with unified visibility, enforcement, and protection throughout the data lifecycle. Organizations can now enforce privilege rights during AI conversations, redact or mask sensitive information in real time, and accelerate investigations with detailed insights into violations all while ensuring AI tools remain functional and reliable.

Key Benefits Include:

  • Reducing Data Leakage Risks: Apply redaction and masking policies that protect sensitive information while preserving context.
  • Enhancing Visibility into AI Conversations: Identify and highlight violations involving PII, financial data, and regulated content across both prompts and responses.
  • Extending Access Control to AI Applications: Ensure only authorized users can view or share sensitive data within AI interactions.
  • Accelerating Investigations: Utilize alerts, conversation timelines, and user attribution to streamline incident response.

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“AI introduces a new challenge: what happens when sensitive data like employee payroll ends up in a model and employees without privileges try to access it?” said Dimitri Sirota, CEO of BigID. “With expanded access control, we can stop that data from being exposed at the inference stage, enforce privilege rights, and apply safe-AI labeling so AI models only consume approved data. No one else in the market is tackling this problem the way we are, and it’s critical to making AI adoption safe and trusted.”

By pioneering these controls, BigID empowers organizations to confidently integrate AI into business processes without compromising data security, privacy, or compliance, marking a significant step forward in responsible AI adoption.

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