Governing ChatGPT Enterprise with Bedrock Data ArgusAI

Turning generative AI visibility into enforceable governance.

When enterprises embraced ChatGPT Enterprise, productivity surged—but so did hidden data risk. Employees could now brainstorm strategies, summarize reports, or review resumes in natural language. Yet every pasted paragraph, uploaded spreadsheet, or shared chat created new shadow data paths that traditional DSPM and DLP tools couldn’t see.

Bedrock Data ArgusAI now bridges that gap.

Extending AI Governance to ChatGPT Enterprise

Built on the same Metadata Lake that powers Bedrock’s data-security and governance platform, ArgusAI connects ChatGPT Enterprise’s compliance APIs directly to Bedrock’s governance layer. The result: a continuous, explainable record of what data employees send to ChatGPT, who can see it, and whether it complies with enterprise policy.

Key Capabilities

1. Shadow Data Discovery – ArgusAI automatically inventories all ChatGPT Enterprise workspaces and OpenAI datastores, showing exactly what information is being stored or shared.
2. Semantic Classification – ArgusAI classifies each conversation by business context, e.g. HR, finance, PII, source code without copying chat content out of the enterprise boundary.
3. Prompt and Response Monitoring – Bi-directional telemetry tracks sensitive data flow both into and out of ChatGPT Enterprise sessions, e.g. detecting when users send customer data into prompts or when models return protected content.
4. Identity and Exposure Mapping – ArgusAI maps every chat to the identities and roles that can access it, revealing unauthorized sharing and enforcing least-privilege across chat histories.
5. Natural-Language Policy Enforcement – Through Bedrock’s Natural Language Policy Engine, GRC teams can express controls like “No customer PII in third-party chat systems.” ArgusAI translates that rule into continuous, automated enforcement within ChatGPT Enterprise.
6. Forensic Audit and Investigation – Security and compliance officers can now ask questions in plain English, e.g. “Which employees shared PHI data in ChatGPT?” to receive precise answers sourced from the Metadata Lake and ChatGPT Enterprise logs.

Why It Matters

With ArgusAI’s integration, organizations can now:

• Establish information barriers based on Bedrock’s trust boundaries to prevent cross-domain data sharing.
• Perform natural-language audits that show exactly what data entered ChatGPT Enterprise and who initiated it.
• Empower teams to innovate safely, confident that every prompt and output remains within compliance limits.

Learn More:

• Request a demo of Bedrock Data ArgusAI
• Read the ArgusAI press release
• Follow Bedrock Data on LinkedIn, X and Bluesky