Turning hostile-internet signals into searchable security telemetry for MSSPs, Red Teams, Blue Teams, and modern security platforms.
Threat data is scattered across thousands of sources. Stealer logs, combo lists, breach dumps, paste collections. Most of it is unstructured. Duplicated. Impossible to search at scale.
We built DarkLake to fix that.
Monitor thousands of client domains automatically. Get alerted on leaked credentials, compromised devices, and stealer logs before ransomware hits.
Automate reconnaissance. Find valid credentials, exposed subdomains, and employee leaks to simulate realistic attack paths.
Track actor movements, new malware campaigns, and underground forum discussions. Pivot from email to password to IP address instantly.
Ingest alerts directly into your SIEM, SOAR, or ticketing system. DarkLake is built to be the signal layer, not another dashboard to check.
Every record passes through a six-stage pipeline. Format detection, schema inference, deduplication, normalization, indexing, and serving -- fully automated.
Telegram channels, HTTP endpoints, S3 buckets, or manual upload. Supports .gz, .txt, .csv, .json, and raw log formats with automatic detection.
Every record is deduplicated, normalized, and indexed within seconds. Full-text search across billions of entries with sub-50ms tail latency.
Exact match, contains, regex, domain-only, and email-only search modes. Filter by collection, date range, source type, or threat actor.
Hot/cold tiering based on access frequency. TTL policies for compliance. Every data access event is logged with user identity, IP, and timestamp.
Real-time activity feed from the production pipeline. Every ingest, search, dedup, and export event is logged and auditable.
DarkLake is a restricted-access platform for vetted security teams only. Every account is tied to a real organization, and all activity is logged and auditable.