Who each option is best for, and where either supplier is deliberately narrower.
Code scanning supplier comparison
Privacy code scanning software suppliers: source-code evidence compared
This category should stay strict: code-level privacy scanning is not the same thing as generic compliance monitoring.
Code scanData flowsEngineering privacyRoPA evidence
Which public claims, review signals, caveats and capability rows are evidenced.
How much work it takes to implement, maintain and export the privacy record.
The questions a privacy team should ask before switching or shortlisting.
On this page
01Honest fit
Where Acompli belongs in this comparison
Acompli fits where source-code evidence must be reviewed and then fed into data maps, RoPA drafts, DPIA triggers and governance workflows.
The supplier lists below are intentionally honest: some tools are stronger than Acompli for a specific service, especially consent, cookie scanning, breach workflow, policy management and training.
| Comparison row | Acompli position | Supplier check |
|---|---|---|
| Code-level privacy scan | Y | Verify source-code scan, not only policy/control monitoring. |
| File/line evidence | Y | Ask whether findings include path, line and context. |
| Human review | Y | Confirm findings are approved before syncing downstream. |
| RoPA/DPIA output | Y | Check whether code findings can update governance records. |
02Supplier set
Suppliers to compare for privacy code scanning
Use this table to compare service-specific suppliers. Confirm exact claims, ratings and pricing against current vendor or directory sources before relying on them.
| Supplier | Market lane | Public strength | Comparison note |
|---|---|---|---|
| Acompli | Privacy operations platform | Read-only scans with reviewed sync into data maps, RoPA drafts and DPIA triggers. | Strong governance linkage. |
| Privado AI | Privacy code scanning | Privacy code scanning, dynamic data maps and risk discovery. | Category leader for technical discovery. |
| HoundDog.ai | Privacy code scanner | Deterministic code-level dataflow context and code-backed RoPA evidence. | Strong source-code evidence. |
| Ketch | Enterprise privacy platform | Adjacent technical/data privacy platform coverage. | Verify source-code depth before listing as direct scanner. |
| TrustArc | Enterprise privacy platform | Data mapping/risk platform adjacency. | Use as adjacent, not code-scan specialist unless sourced. |
03Buyer checks
Buyer checks for this category
- Do not list generic GRC monitoring as privacy code scanning.
- Compare source-code scan, CI/PR workflow, SDK/AI detection, file-line evidence, false-positive review and downstream RoPA/DPIA sync.
- Be honest if a supplier is adjacent rather than a direct code scanner.
04Fair comparison
Keep the page useful and fair
- Show rating plus review count plus source when review data is used.
- Use the vendor's own language for its strongest fit before introducing the Acompli comparison.
- Show Acompli clearly where it does not provide the service; do not stretch adjacent workflow features into a yes.
- Confirm vendor pricing and review directory data against current sources.
Comparison FAQ
Code scan questions answered
What is privacy code scanning software?
Privacy code scanning reads source code, not policies or configuration, to find where personal data is collected, stored or transmitted, with file-and-line evidence a human can review. Privado AI and HoundDog.ai are category leaders; Acompli fits teams that want reviewed findings to sync into data maps, RoPA drafts and DPIA triggers.
How is code scanning different from generic GRC monitoring?
Generic GRC monitoring tracks policies, controls and configuration state. Code scanning inspects the actual source code and CI/PR workflow for personal-data handling - a supplier without deterministic file-line evidence from code is adjacent to this category, not a direct competitor in it.
Can code-scan findings update RoPA and DPIA records?
They should, after human review - confirm that flagged findings are approved before syncing downstream rather than writing directly into governance records, since false positives in automated code scanning are common enough that unreviewed sync risks inaccurate RoPA or DPIA entries.
Acompli overlap
Related Acompli workflows
EU AI Act governance
Document AI systems, assessments, classification decisions and evidence alongside GDPR records.
Open moduleData mapping
Build a living view of systems, suppliers, locations, data categories and transfers.
Open moduleRoPA management
Maintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleAssessments
Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.
Open moduleCompare privacy code scanning against the record you need to defend.
Bring one real workflow and compare suppliers by the evidence, approvals, exports and maintenance burden they create.
Acompli architecture
One governed foundation. Five connected modules.
Imported systems, suppliers, policies, DPIAs and RoPA spreadsheets become the shared evidence model for assessments, risk, records, third-party oversight and data mapping.
- OnboardingImport DPIAs, RoPA spreadsheets, suppliers, systems, policies and documents.
- AssessmentsRun DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with human approval.
- RiskExtract candidate risks from approved evidence and assign treatment plans.
- RoPAMaintain Article 30 records linked to assessments, systems, suppliers and transfers.
- Third-PartyRecord suppliers once, then reference them across assessments, RoPA, risk and maps.
- Data MappingBuild a living view of systems, suppliers, locations, categories and transfers.
Point tools create records. Acompli connects them.