Evidence Collection

AI-powered evidence collection for compliance teams

Upload evidence once and let AI handle the rest. Confidence scoring, automatic control mapping, sensitive data detection, and one-click approval workflows for SOC 2, ISO 27001, HIPAA, and more.

Evidence ReviewAI Reviewed
access-control-policy-v2.pdf
Uploaded 2 hours ago by John Smith
Confidence94%
Complete access control policy with clear role definitions and approval workflows documented.
Consider adding review frequency timeline (recommend annual review).
access-controlpolicySOC-2CC6.1

AI-Powered Review

Confidence scoring and inline suggestions on every upload.

Sensitive Data Detection

Automatic scanning for credentials and PII in documents.

Expiry Tracking

Proactive alerts before evidence goes stale.

Auto Control Mapping

Evidence automatically mapped to relevant controls.

From upload to audit-ready in three steps

Evidr streamlines evidence collection so you can focus on building your product, not managing spreadsheets.

1

Upload Evidence

Drag and drop policies, screenshots, exports, and documents. We support PDF, PNG, DOCX, and more.

2

AI Reviews & Scores

Our AI analyzes each document, assigns a confidence score, and flags any issues or missing information.

3

Approve & Map

Review AI suggestions, approve evidence, and watch it automatically map to relevant compliance controls.

AI-Powered Review

Every document reviewed with confidence scoring

Our AI reads every document you upload and provides a confidence score based on completeness, clarity, and relevance to compliance requirements. Get inline suggestions to improve evidence quality before your auditor sees it.

Confidence scores from 0-100% on every upload
AI-generated review notes with specific improvement suggestions
Automatic classification and tagging based on content
Flag outdated or incomplete evidence before it reaches your auditor
AI AnalysisComplete
Score87%
Analysis Notes
Clear password complexity requirements documented.
MFA enforcement policy covers all user types.
Add session timeout policy (recommend 15-30 min).

Security First

Automatic sensitive data detection

Accidentally uploading credentials, API keys, or personally identifiable information to compliance evidence can be a security risk. Evidr scans every document for sensitive data and flags potential issues before you share with auditors.

Credential and API key detection across all file types
PII scanning for names, emails, SSNs, and phone numbers
Malware scanning and file integrity validation
AES-256 encryption at rest for all stored files
Security Scan1 Warning
infrastructure-config.yaml
Potential API key detected
Line 23: Detected pattern matching AWS access key. Redact before sharing.
No malware detected. File integrity verified.

Complete History

Full version history for every requirement

Compliance is not a one-time event. Evidr tracks every version of your evidence with complete audit trails, so you can demonstrate continuous compliance over time and easily satisfy Type II audit requirements.

Complete version history with timestamps and user attribution
One-click rollback to previous evidence versions
Per-requirement audit trail for granular tracking
Retention policies configurable up to 7 years
Version History
v3.0 — Current
Apr 10, 2026 by Sarah Chen
Live
v2.0
Jan 15, 2026 by John Smith
v1.0
Oct 3, 2025 by John Smith

Automatic evidence from your infrastructure

Connect your cloud providers and developer tools. Evidr automatically pulls compliance evidence from your infrastructure.

AWS
AWS
GitHub
GitHub
Google Cloud
Google Cloud
Okta
Okta
Google Workspace
Google Workspace
GitLab
GitLab

Evidence collection included in Growth plans and above

AI-powered evidence review, unlimited uploads, and continuous monitoring. Start with the free Starter plan to map your compliance controls.

AI review with confidence scoring Unlimited evidence uploads Version history Auditor portal access

Ready to automate your evidence collection?

See how Evidr transforms compliance evidence management with AI-powered review, automatic control mapping, and continuous monitoring.