Find leaked data before it gets weaponized.
Sensitive data leaks happen through misconfigured cloud buckets, accidental code commits, insider exfiltration, and third-party breaches. Data Leak Detection watches the surfaces where leaks become visible: paste sites, code repositories, dark-web sources, and breach corpora.
Continuous monitoring across where leaked data shows up first.
Security operations teams, incident-response teams, and data-protection officers run this workflow. The question they answer: has any of our sensitive data appeared somewhere it shouldn't? Pre-Deepinfo, leaks typically surface through customer reports or news coverage. Post-Deepinfo, leaks surface through monitoring against the indexed sources where leaked data appears first.
Coverage includes paste sites where attackers post stolen content, public code repositories where developers accidentally commit secrets, dark-web markets where leaked data trades, and breach corpora where third-party-compromise data surfaces. Detection rules tune to your organization's identifiers, internal codenames, employee email patterns, and document fingerprints.
Outcomes: leaked data detected within hours of public exposure; insider-exfiltration patterns surface; third-party-breach exposure identified before notification cycles complete.
Multiple leak surfaces, one continuous monitor.
Dark Web Mentions Monitoring against keyword sets including internal codenames. Data Breach Index for breach-corpus cross-reference. Compromised Client Credential Monitoring for customer-data exposure. Custom-keyword detection for sensitive-document identifiers.
Dark Web Mentions Monitoring.
Continuous monitoring against keyword sets that include internal codenames, project identifiers, and document fingerprints. Catches leaked-content references in forums, paste sites, and chat channels.
Data Breach Index.
Cross-references your domains and email patterns against the indexed breach corpus. Surfaces exposure as new breaches land.
Compromised Client Credential Monitoring.
Customer-data exposure surfaced from breach corpora, infostealer dumps, and credential-stuffing lists. Includes credential cross-reference for customer-list leakage detection.
Custom-keyword detection rules.
Per-organization detection rules tune to your sensitive-data fingerprints: internal codenames, project identifiers, document patterns. Detection runs continuously across the indexed dark-web and breach surface.
Customers running data-leak detection at regulated scale.
An international pharmaceutical company
Research IP and clinical infrastructure protection with sector-specific threat-actor intelligence.
Read the storyA defense manufacturer
External monitoring across subsidiary brands and supply chain with nation-state actor framing.
Read the storyDark web monitoring
Continuous monitoring across forums, marketplaces, paste sites, and chat channels.
Read the use case“Misconfigured cloud buckets and accidental code commits used to surface only when somebody else found them. Continuous detection across the surfaces where leaks become visible cut our exposure window dramatically.”
Related use cases.
Catch exposed credentials before the takeover.
Account takeover and corporate-environment compromise both start the same way: a credential surfacing somewhere it shouldn't.
See use case USE CASESee your data in the underground before customers see it on the news.
Brand mentions, credential dumps, and infrastructure references in dark-web channels typically precede public news by weeks.
See use case USE CASEInvestigate incidents using the data layer underneath.
Incident response runs on time.
See use caseSee if your data is somewhere it shouldn't be.
Book a demo. We'll scope keyword detection to your sensitive-data fingerprints and walk through the alerting workflow.