# Candor: Context-rich DLP for insider-risk decisions

Canonical: https://thelazyweb.com/companies/candor/
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Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

Candor is an agentic data-loss prevention and insider-risk platform for security teams that need to understand the story around a data movement event. It fits a fast-moving company where static rules create too many alerts and the real concern is what a person did, what they accessed and where the data went.

## What it does

[Candor’s current site](https://candor.security/) describes AI agents that connect data movement with user behavior and surrounding activity. The product shows open cases, behavioral profiles and an investigation graph rather than a single alert stream. It says the system can detect sensitive transfers, investigate the timeline and surface the cases that warrant a human decision.

The differentiation is contextual triage. A USB copy, a paste to a public site or a file sent to a personal inbox can be benign in isolation. Candor’s thesis is that the security team should see the sequence, the person, the access level and the destination together. The site lists integrations across Google

[Candor: Context-rich DLP for insider-risk decisions](<https://www.thelazyweb.com/companies/candor/>)

Source observed: 2026-09-20T02:21:46.758Z. Last checked: 2026-10-08T02:08:13.53+00:00.

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