Candor

Candor is an AI-native data loss prevention and insider risk platform for enterprises. It addresses the problem of legacy DLP systems that rely on static rules, which can produce large volumes of false positives while missing risky behavior that does not match a predefined pattern. By analyzing the full timeline of user activity rather than isolated events, Candor aims to surface the cases that genuinely warrant analyst attention.

The platform's AI agents reason over activity timelines and assemble related signals into cases with full context. Its DLP capabilities identify suspicious data movement without requiring custom policies from day one, with the option to add policies in plain English. Candor includes an investigation copilot for natural-language queries, automated report and documentation generation, and organizational-level risk analysis to identify where security negligence clusters across departments. It integrates with enterprise workspaces (Google, Microsoft), identity providers (Okta, Entra ID), endpoint platforms (CrowdStrike, Palo Alto), ITSM (ServiceNow), HR systems (Workday), and SIEM providers (Splunk, QRadar). Deployment is available as on-premise or cloud.

Candor is built for enterprise security teams, including those managing DLP and insider risk programs. The platform is SOC 2 Type II certified, and AI inference runs on private, isolated infrastructure with data remaining in the customer's tenancy.