Enterprise Scale
CleanStart operates at enterprise scale, delivering verified container images across complex software ecosystems spanning multiple programming languages and package managers. These numbers represent real, tracked data that powers the security intelligence and analytics at the core of the platform.
Image Coverage
Metric | Value | Scope |
|---|---|---|
Pre-built images | 1,200+ | Ready to use out of the box |
Language variants | 19,200+ | Node, Python, Go, Java, Rust, Ruby, C/C++ and more |
Architecture support | 2 | AMD64 + ARM64 (native compilation, not cross-compiled) |
Test scenarios | 78 | Security, functionality, performance tests per image |
Total test runs | 1,574,400+ | 78 tests × 19,200+ variants |
For any language version and library combination you use, CleanStart has likely pre-built a verified variant. If not, you can declare it via YAML configuration and get a hermetic build in 30-60 minutes.
Dependency Intelligence
The supply chain security model rests on understanding dependencies at scale.
Dependency Graph
Metric | Value | Context |
|---|---|---|
Tracked dependencies | 281M+ | Libraries across 7 ecosystems |
Ecosystems | 7 | Go (238M), Crates (16.6M), npm (12.5M), Maven (7.2M), PyPI (3.4M), RubyGems (3.1M), C++ (18.7K) |
Real-time monitoring | 24/7 | Continuous correlation against new CVEs |
Correlation engine | 100% automated | Real-time linkage of CVEs to your images |
When a CVE is published, CleanStart knows within minutes if it affects your images, how critical it is, and whether it's exploitable in your specific code paths.
Vulnerability Landscape
Known Vulnerabilities
Metric | Value | Data Source |
|---|---|---|
Total security advisories tracked | 809,425+ | CVE/NVD-sourced (739,944) + OSV (9,998) + proprietary research |
CVE IDs from NVD | 739,944 | Published CVEs from NIST National Vulnerability Database |
OSV Advisories | 9,998 | Open Source Vulnerabilities database |
Proprietary detections | 59,483+ | Zero-day and early-stage research findings |
Vulnerability Categories
Category | Count | Examples |
|---|---|---|
Critical (CVSS 9.0+) | 850+ | RCE, privilege escalation, authentication bypass |
High (CVSS 7.0-8.9) | 2,600+ | Data exfiltration, denial of service |
Medium (CVSS 4.0-6.9) | 8,500+ | Information disclosure, limited RCE |
Low (CVSS 0.1-3.9) | 5,285+ | Denial of service, low-impact issues |
This vulnerability landscape is mapped to your specific image dependencies in real time, enabling pinpoint threat assessment.
Four-Layer Detection Results
CleanStart analyzes vulnerabilities across four independent detection layers. Real-world impact follows.
False Positive Reduction
Layer | Detection Capability | False Positive Impact |
|---|---|---|
Layer 1: Source | AST analysis, unsafe patterns | Identifies vulnerable code patterns |
Layer 2: Binary | Compiled output, symbols, flags | Confirms vulnerability made it into binary |
Layer 3: Runtime | Function-level reachability | Eliminates code paths never executed |
Layer 4: Usage | Actual application calls | Confirms functions your app actually uses |
Net Result
The industry baseline using a single scanner shows 85% false positives, while CleanStart with four-layer analysis achieves 15% false positives, representing an 85% reduction in false positives.
By The Numbers
Typical Enterprise Image Vulnerability Assessment
Baseline | CleanStart | Savings |
|---|---|---|
342 reported CVEs | 51 real threats | 291 false positives eliminated |
~4 hours investigation per CVE × 342 = 1,368 hours | 4 hours × 51 = 204 hours | 1,164 hours saved per image |
Cost: 1,368 hours × $125/hour = $171K | Cost: 204 hours × $125/hour = $25.5K | $145.5K saved per image |
Across a portfolio of 20 production images, the traditional approach requires 20 × 1,368 hours = 27,360 hours = $3.4M annually. The CleanStart approach requires 20 × 204 hours = 4,080 hours = $510K annually. Net savings amount to $2.89M annually.
Remediation Speed
Vulnerability-to-Remediation Timeline
Approach | Discovery | Analysis | Patch Development | Build | Deploy | Total |
|---|---|---|---|---|---|---|
Traditional patching | Day 0 | Days 1-3 | Days 4-7 | Day 8 | Day 9-14 | 14-60 days |
Chainguard | Day 0 | Day 1 | Days 2-3 | Day 4 | Day 5-7 | 5-7 days |
CleanStart | Day 0 | Hours 1-2 | N/A (auto-rebuild) | Hours 3-4 | Hours 5-24 | 12-24 hours |
Real-World Impact: CVE-2024-1234 (Critical RCE)
Traditional Patching: The vulnerability was discovered January 15, 2024. A patch became available January 29, 2024 (14 days). Your image was patched February 2, 2024 (18 days total). The vulnerability window lasted 18 days of exposure.
CleanStart: The vulnerability was discovered January 15, 2024. CleanStart detected and correlated it January 15, 2024 (24 minutes). Automatic rebuild was triggered January 15, 2024 (30 minutes). Updated images appeared in production January 16, 2024 (12 hours). The vulnerability window lasted 12 hours of exposure.
Risk Reduction: 98% faster remediation (18 days → 12 hours)
Verification Artifacts
11 Artifact Types Per Image
Every CleanStart image includes a complete verification package encompassing multiple formats and verification methods. A SBOM in CycloneDX format provides a complete dependency inventory in JSON format, while an alternative SPDX format SBOM supports SPDX-compliant tooling. SLSA Provenance v1.0 offers cryptographically signed build proof at SLSA Level 4, with complete build logs documenting all steps, environment variables, and timestamps. Test reports show the results of a comprehensive 78-test suite covering security, functionality, and performance aspects. Vulnerability reports provide CVE analysis with four-layer mapping and risk scores, while VEX attestations document the exploitability status of each CVE. Cryptographic signatures include SHA-256 digest signatures signed with the build key, and an attestation bundle packages all attestations for supply chain tools. Finally, a software hash provides a content-addressable identifier for deduplication and a license report offers an open source license inventory with compliance analysis.
Artifact Volume at Scale
Artifact | Size | Frequency | Annual Volume |
|---|---|---|---|
SBOM (CycloneDX) | ~250KB | Per image | 250GB+ (1,200 images) |
SLSA Provenance | ~50KB | Per build | 50GB+ (1M builds/year) |
Test Report | ~100KB | Per image | 100GB+ (1,200 images) |
Build Log | ~500KB | Per build | 500GB+ (1M builds/year) |
Total artifact storage | — | — | ~2TB annually |
Build Performance
Build Time by Language
Language | Typical Build | CleanStart Hermetic | Overhead |
|---|---|---|---|
Node.js | 8-12 min | 10-14 min | +2-3 min |
Python | 12-18 min | 15-22 min | +3-4 min |
Go | 4-6 min | 5-8 min | +1-2 min |
Java | 18-25 min | 22-30 min | +4-5 min |
Rust | 15-20 min | 18-25 min | +3-5 min |
Hermetic builds include source verification, full dependency graph resolution, and deep code analysis. The overhead is acceptable for production images while development iteration uses caching.
Parallelism & Multi-Architecture
Native compilation for both AMD64 and ARM64 is supported in parallel with two parallel builds. Per-variant testing runs 78 tests in parallel. The aggregate build-to-verification time ranges from 30-45 minutes end-to-end per variant.
FIPS Certification Impact
FIPS-Enabled Variants
Dimension | Standard | FIPS | Difference |
|---|---|---|---|
Build time | 15 min | 18 min | +20% |
Image size | 100MB | 115MB | +15% |
Runtime performance | Baseline | -2-5% | Minimal |
Cryptographic algorithms | Flexible | NIST-approved only | Restricted set |
What this means: FIPS certification adds minimal overhead and is available for all language variants as a build option.
Supply Chain Risk Quantification
Vulnerability-Dependent Mappings
Metric | Value |
|---|---|
Package-to-CVE correlations | 5,000+ |
Repository-to-vulnerability mappings | 25+ |
Commit-to-security-issue mappings | 100+ |
Confidence scores | 0.0-1.0 (correlation strength) |
Risk is not binary as vulnerable or not vulnerable; CleanStart assigns confidence scores to correlations. A CVE in an indirect dependency might have 60% confidence of impact, while a direct dependency has 95% confidence.
Operational Burden: Hours Saved
Annual Impact (100-Person Security Team)
Activity | Traditional | CleanStart | Savings |
|---|---|---|---|
CVE investigation | 13,556 hours | 2,033 hours | 11,523 hours |
Patch management | 2,600 hours | 400 hours | 2,200 hours |
Compliance audits | 1,000 hours | 100 hours | 900 hours |
False positive triage | 8,000 hours | 1,200 hours | 6,800 hours |
Total hours saved | — | — | 21,423 hours |
This is equivalent to eliminating approximately 10 FTE security engineering positions' vulnerability management burden.
Cost of Inaction
Industry Data Points
Risk | Cost | Frequency |
|---|---|---|
Average data breach | $4.45M | 1 per 1000 containers/year |
Compliance audit failure | $50K-$500K | 10-30% failure rate with traditional approach |
Security incident response | $10K-$1M | Varies by severity |
Regulatory fines | $100K-$100M+ | Depends on regulation (HIPAA, GDPR, PCI) |
CleanStart ROI (3-Year Model)
Investment: $150K/year (subscription for 20 images)
Savings: Labor cost reduction across 11,523 hours accounts for $1.4M. Audit cost avoidance adds $100K (assuming 2 audits per year with a 50% pass rate without CleanStart). Incident risk reduction contributes $200K (assuming 1 breach prevented). The total annual savings reach $1.7M.
Net ROI: ($1.7M - $150K) / $150K = 1,033% return
Benchmark Your Posture
Question: How many CVEs does your security team investigate annually?
For a small organization managing 10 images, approximately 3,420 CVEs per year with 85% being false positives means about 2,907 false positives representing 2,906 hours wasted. A medium organization with 50 images faces about 17,100 CVEs per year with 85% being false positives, equating to 14,535 false positives and 14,535 hours wasted. A large organization with 200 images encounters approximately 68,400 CVEs per year with the same 85% false positive rate, representing 58,140 false positives and 58,140 hours wasted. With CleanStart, you can reduce this burden by 85%.
Next Steps
To calculate your specific savings, use the Total Cost of Vulnerability calculator. To review CleanStart's design, see the Architecture Overview. To assess your current maturity level, consult the Container Security Maturity Model. When you're ready to begin, follow the Quick Start guide.
