Unstructured Data Normalization
commits, PR comments, logs, tickets, chats → structured evidence.
Turns raw PR comments, CI logs, and Jira threads into audit-ready evidence.
Connect GitHub/GitLab, CI logs, Jira, Confluence, Slack, HRIS.
AI automatically maps unstructured signals to SOC2/ISO/PCI controls with citations.
0–100 risk score, deltas over time, one-page audit report, and Jira-ready remediation.
commits, PR comments, logs, tickets, chats → structured evidence.
Turns raw PR comments, CI logs, and Jira threads into audit-ready evidence.
SOC2 CC6–CC9, ISO Annex A, PCI, HIPAA with explainable rationale.
Explainable control mapping with citations to the original artifacts.
quantify posture; show what improves the score.
Quantified risk with clear deltas and 'what-to-fix' guidance.
one-pager for auditors/insurers with evidence links.
read-only scopes, redaction, no-exfil mode, BYOK.
brew install sdek
→ scan Git/Jira/CI, get terminal summary + local HTML/PDF report.
persistent connectors, dashboards, history, benchmarks, API/export to GRC.
"Finally, SOC2 prep that doesn't mean endless screenshots. Cut our audit prep from 3 weeks to 4 days."
"The AI mapping is surprisingly accurate. It found evidence in Slack threads I'd completely forgotten about."
"Risk score dropped 23 points after fixing the Jira tickets it flagged. Our insurer actually noticed."
local scans & report.
dashboards, history, PDF exports, API.
SSO/SAML, BYOK, on-prem agent.
No. We default to metadata + redacted artifacts; no-exfil mode available.
AI + rules; each finding cites evidence and control IDs (e.g., CC7.2).
No—we complement Vanta/Drata by supplying unstructured evidence.
Yes—export JSON, PDF, and webhooks.
We provide a quantified risk score and one-page underwriting report.
We collect your email only to share product updates and beta access. You can unsubscribe anytime. For security, we default to read-only scopes, redact sensitive data, and offer a no-exfil mode.
Pull request #4321 demonstrates proper change management controls with documented approvals from authorized reviewers before deployment to production.
Our AI engine analyzed your GitHub repository and identified this pull request through the following signals:
{
"pr_number": 4321,
"title": "Add authentication middleware",
"approvals": [
{"user": "tech-lead", "date": "2025-09-28T13:45:00Z"},
{"user": "senior-engineer", "date": "2025-09-28T14:12:00Z"}
],
"required_approvals": 2,
"branch_protection": true,
"status": "merged"
}
The entity authorizes, designs, develops or acquires, configures, documents, tests, approves, and implements changes to infrastructure, data, software, and procedures to meet its objectives.
Your change management process meets SOC2 requirements. To maintain compliance:
Jira tickets show evidence of threat modeling activities, but the frequency and documentation completeness require improvement to fully satisfy ISO 27001 A.12.6 requirements.
Our AI engine analyzed your Jira workspace and identified threat modeling activities:
{
"total_tickets": 21,
"labels": ["threat-model", "security-review"],
"date_range": {
"first": "2024-11-15",
"last": "2025-08-16"
},
"avg_frequency_days": 52,
"features_with_threat_model": 68,
"total_features": 100
}
Information about technical vulnerabilities of information systems being used shall be obtained in a timely fashion, and appropriate measures shall be taken to address the associated risk.
To achieve full compliance, implement the following improvements:
CI/CD pipelines demonstrate comprehensive security scanning with SAST tools, high code coverage, and automated vulnerability detection meeting PCI DSS 6.5 requirements.
Our AI engine analyzed your CI/CD pipeline configuration and execution logs:
name: Security Scan
on: [pull_request]
jobs:
sast:
runs-on: ubuntu-latest
steps:
- name: Run SAST
run: semgrep --config=auto
- name: Run Snyk
run: snyk test --severity-threshold=high
- name: Code Coverage
run: pytest --cov --cov-report=xml
Address common coding vulnerabilities in software development processes including training developers in secure coding techniques and developing applications based on secure coding guidelines.
The entity implements logical access security measures to protect against threats from sources outside its system boundaries.
Your secure SDLC practices exceed baseline requirements. To further enhance security:
Slack incident channel demonstrates proper incident response procedures including postmortem documentation, root cause analysis, and remediation tracking.
Our AI engine analyzed your Slack workspace incident response channels:
2025-09-15 09:23 UTC - Alert triggered: API error rate spike
2025-09-15 09:37 UTC - Incident declared (Severity: P2)
2025-09-15 09:41 UTC - On-call engineer engaged
2025-09-15 10:15 UTC - Root cause identified
2025-09-15 10:52 UTC - Incident resolved
2025-09-15 16:30 UTC - Postmortem published
2025-09-18 14:00 UTC - All action items completed
Implement policies and procedures to address security incidents, including response and reporting.
The entity responds to identified security incidents by executing a defined incident response program.
Your incident response process demonstrates maturity. To further strengthen your program: