Prioritize oversharing risks by job role, project, or department. No guesswork, no endless alert queues.
Compliance teams still sample chat logs by hand, hoping to spot AI oversharing. That method only captures a fraction of real activity and ignores how LLMs can blend fragments from many sources to expose sensitive data.
Secure OAuth to Copilot, Glean, Gemini, and Microsoft 365. No agents to install.
Knostic logs prompts, responses, and the hidden documents each answer pulls from.
Simulate real-world prompts to uncover how sensitive knowledge can be accessed, where it resides, and what paths lead to unintended exposure.
Identify policy violations, where LLMs can infer or expose restricted data despite seemingly proper permissions.
One click exports a tamper-proof PDF for auditors or launches a fix playbook for security.
Continuously audit what AI tools can expose.
Detect leaks built from multiple “harmless” snippets.
Policy-based findings and prompt results, easily exported to PDF
Identify and close active exposures in hours, not quarters.
Works the same for Copilot today and whatever AI tool comes tomorrow.
Ad-hoc point-in-time pulls
Direct-file checks only
Screenshots & spreadsheets
Follow-up tickets & delays
Fully automatic capture
Inference-aware tracing
Immutable, exportable logs
Built-in remediation flows
Want to probe your own controls?
Try the LLM Oversharing Prompt Generator and find out which questions slip past your controls.
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