cyberscorecard 1.2.2

SMB cybersecurity governance scorecard — CIS Controls v8, Zero Trust scoring, IR playbook generation, threat intelligence feed, attack surface mapping, compliance gap analysis

cyberscorecard

SMB cybersecurity governance scorecard — CIS Controls v8 assessment, risk findings, maturity scoring, and actionable remediation roadmap for small businesses.

4 in 5 SMBs have been breached. Average breach cost: $3.31M. There are only 35,000 CISOs for 359M businesses globally. cyberscorecard gives every Python developer the tools to build CISO-grade governance into any platform.

Installation

pip install cyberscorecard

Quick Start

from cyberscorecard import SecurityAssessor, ControlStatus

assessor = SecurityAssessor()  # Pre-loaded with CIS Controls v8 IG1

# Self-assessment: provide status for each control
responses = {
    "CIS-5.2": ControlStatus.IMPLEMENTED,       # Unique passwords
    "CIS-6.3": ControlStatus.PARTIAL,            # MFA — partially deployed
    "CIS-8.2": ControlStatus.IMPLEMENTED,        # Automated backups
    "CIS-3.3": ControlStatus.NOT_IMPLEMENTED,    # Data access control
    "CIS-5.4": ControlStatus.NOT_IMPLEMENTED,    # Admin privilege separation
}

scorecard = assessor.assess(
    org_id="ACME-001",
    org_name="Acme Corp",
    control_responses=responses,
)

print(f"Overall score: {scorecard.overall_score}/100")
print(f"Maturity: {scorecard.maturity.value}")
print(f"Critical findings: {len(scorecard.critical_findings())}")
print(scorecard.summary())

Maturity Levels

Level	Score	Description
Initial	0–20	Ad hoc, reactive — no formal processes
Developing	20–40	Some controls in place, inconsistently applied
Defined	40–65	Documented and repeatable processes
Managed	65–85	Measured and controlled
Optimized	85–100	Continuous improvement culture

Security Domains

10 domains are assessed and scored individually:

access_control, data_protection, network_security, endpoint_security, incident_response, vulnerability_management, backup_recovery, security_awareness, third_party_risk, compliance

CIS Controls v8 IG1 Baseline

Pre-loaded controls include:

• CIS-1.1: Enterprise Asset Inventory
• CIS-3.3: Data Access Control Lists
• CIS-5.2: Unique Passwords
• CIS-5.4: Admin Privilege Separation
• CIS-6.3: MFA for External Applications
• CIS-7.1: Vulnerability Management Process
• CIS-8.2: Automated Backups
• CIS-9.4: Network Service Restriction
• CIS-14.1: Security Awareness Program
• CIS-17.1: Incident Response Owner

Each control includes severity, remediation steps, and framework tags.

Advanced Features

Pipeline

from cyberscorecard import AssessmentPipeline

pipeline = (
    AssessmentPipeline()
    .filter(lambda f: f.severity.value in ["critical", "high"], name="critical_high_only")
    .map(lambda findings: sorted(findings, key=lambda f: f.severity.value), name="sort_by_severity")
    .with_retry(count=2)
)

prioritized = pipeline.run(scorecard.findings)
print(pipeline.audit_log())

Caching

from cyberscorecard import ScorecardCache

cache = ScorecardCache(max_size=100, ttl_seconds=86400)

@cache.memoize
def run_assessment(org_id):
    return assessor.assess(org_id, org_name, responses)

cache.save("scorecard_cache.pkl")
print(cache.stats())

Score Trend & Regression Tracking

from cyberscorecard import ScoreTrend, RegressionTracker

trend = ScoreTrend(window=6)
tracker = RegressionTracker()

for quarterly_scorecard in history:
    trend.record(quarterly_scorecard.overall_score)
    tracker.record(quarterly_scorecard)

print(trend.trend())       # "improving"
print(trend.volatility())  # 3.2
print(tracker.latest_regression())  # None if no regression

Export Reports

from cyberscorecard import ScorecardExporter

print(ScorecardExporter.to_json(scorecard))
print(ScorecardExporter.to_csv(scorecard))
print(ScorecardExporter.to_markdown(scorecard))

Diff Between Assessments

from cyberscorecard import diff_scorecards

diff = diff_scorecards(last_quarter, this_quarter)
print(diff.summary())  # {'added': 0, 'removed': 2, 'modified': 3, 'score_change': 12.5}
print(diff.to_json())

Batch Assessment (Multi-Tenant)

from cyberscorecard import batch_assess, abatch_assess

# Sync — assess multiple orgs
scorecards = batch_assess(
    org_ids=["ORG-1", "ORG-2", "ORG-3"],
    assess_fn=lambda org_id: assessor.assess(org_id, org_names[org_id], responses_map[org_id]),
    max_workers=4,
)

# Async
scorecards = await abatch_assess(org_ids, assess_fn, max_concurrency=8)

Validation

from cyberscorecard import ControlValidator, ControlRule

validator = ControlValidator()
validator.add_rule(ControlRule("evidence_required", True, "All implemented controls need evidence"))
validator.add_rule(ControlRule("required_framework", "CIS Controls v8"))

errors = validator.validate_batch(scorecard.controls)

Streaming

from cyberscorecard import stream_findings, findings_to_ndjson

for finding in stream_findings(scorecard.findings):
    send_to_dashboard(finding)

for line in findings_to_ndjson(scorecard.findings):
    output.write(line)

Audit Log

from cyberscorecard import AuditLog

log = AuditLog()
log.record("assessed", "ACME-001", detail="score=72.4")
log.record("finding_resolved", "ACME-001", detail="CIS-3.3")

Changelog

v1.2.2 (2026-04-10)

• Added Contributing and Author sections to README

v1.2.1 (2026-04-10)

• Added Changelog section to README for release traceability

v1.2.0

• Added ZeroTrustScorecard — zero-trust posture assessment across identity, device, network, and data layers
• Added IncidentResponsePlaybookGenerator — auto-generate CIS-aligned IR playbooks from scorecard findings
• Expanded SEO keywords for PyPI discoverability

v1.0.1

• Advanced features: pipeline, caching, validation, diff/trend, streaming, audit log

v1.0.0

• Initial release: CIS Controls v8 assessment, risk scoring, maturity scoring, remediation roadmap

License

MIT

Contributing

Contributions are welcome! Here's how to get started:

1. Fork the repository on GitHub
2. Create a feature branch: git checkout -b feature/your-feature
3. Make your changes and add tests
4. Run the test suite: pytest tests/ -v
5. Submit a pull request

Please open an issue first for major changes to discuss the approach.

Author

Mahesh Makvana — GitHub · PyPI

MIT License