Both SOC-2 compliant, with SSO, RBAC, and audit logs
Coverage
Direct source code integrations with GitHub, Bitbucket, and GitLab, with automated CI configuration rolled out in minutes, not weeks
Auto-scans selected repos with no local checkout needed, providing centralized context across all code repos and cross-service relationships
Runs scans in CI and on every pull request
Keeps API graphs continuously updated org-wide
Privacy Code Scanner
Privacy code scanning for privacy and engineering teams
Catch sensitive data leaks and risky data flows directly in source code, then scale to continuous coverage, automated privacy reporting, and an org-wide RoPA workflow.
Free
$0free forever
A point-in-time privacy code scanner developers run locally to understand risky data flows before they ship. Get a GDPR sensitive datamap with data flow visualizations, traces, and code-level evidence directly from your source code. The scanner also detects Shadow AI usage and third-party integrations embedded in your codebase, with results generated as a local Markdown report. View a sample report.
Sensitive data leak detection across all supported languages
Shadow AI and third-party integration discovery
Reporting
GDPR sensitive datamap with data flow visualizations and traces
Local Markdown report with code-level evidence
For privacy teams
Enterprise
$200per developer / year
Only developers contributing to the scanned code repositories are counted.
Built for privacy and engineering teams that need continuous coverage across their entire codebases, with org-wide visibility into data flows, data elements processed, and subprocessors across every application.
Both SOC-2 compliant, with SSO, RBAC, and audit logs
Network broker for self-hosted integrations
Deployment
Direct source code integrations with GitHub, Bitbucket, and GitLab, with automated CI configuration rolled out in minutes, not weeks
Customization
Custom rules and allowlists for org-specific data elements and data sinks
AI-Powered Analysis Optional
Embeds AI analysis across static findings: auto-closing false positives, adjusting severities, and adding deep context. Scanning still runs in your own environment on cheap CPU, fast and deterministic; AI only interprets the data flow traces the scanner has already detected.
Reporting
Auto-generated, app-specific PIA and DPIA reports pre-populated with data flows and privacy risks
Governance
Org-wide RoPA workflow: DPOs send review requests, approve changes, track historical updates, publish RoPAs, and receive auto-suggested edits when the scanner detects new data flows or AI and third-party subprocessors
Alerting
Proactive alerting via Slack and email
Issue tracking integration with Jira and Linear
Compliance
Framework support for GDPR, CCPA, ISO 29100, NIST 800-53, and HIPAA
Support
Priority support with SLA via email and a dedicated private Slack channel
Try both products free, or see them live on your stack.
Run a privacy scan in seconds, plug API context into your AI agents, and talk to us when you are ready for org-wide coverage.
