AI Data Labeling Primer: From Gold Sets to Great Models
1 October 2025
A new era requires a new set of solutions
Knostic delivers it
Use CasesSee where legacy DLPs break down when Copilot or Glean recombine knowledge, then demonstrate the impact of new controls.
The Scenario
Your dashboards show 100 % policy coverage, but red-team testers can still coax Copilot to answer:
“Summarize all employees earning over $200K and list their equity.”
The files are labelled “Confidential,” but the LLM stitched details together using multiple safe snippets. Security leadership needs a report card that highlights real gaps and proof that solutions work.
Knostic connects to Microsoft 365, Copilot, and Glean, without agents or downtime.
A library of attacker-style questions probes finance, HR, legal, and IP topics.
Sort and filter by department, role, sensitivity level, or user context.
Your dashboard shows pass/fail results by policy, department, and data class, while tracking control effectiveness over time.
One-click policy or label updates with indicators to show the leak has been closed.
Demonstrates DLP failures caused by AI knowledge recombination.
Easy-to-read pass/fail table, risk mapping, and remediation plan.
Able to retest after every policy change.
Validation prompts run without agents, zero impact on production users.
Together, these capabilities transform a theoretical audit into a closed-loop validation and remediation process.
Core Capabilities
Connects to M365 and AI tools instantly, enabling rapid test cycles during red-team events.
Uses natural-language prompts to surface leaks that get past file-centric DLP.
Pinpoints each failed policy, then pushes fixes to Purview or RBAC so you can re-test.
Turns each leak into an action plan with owners, deadlines, and trackable status.
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