Container Registry & Vulnerability Scanner

AI-native container security platform with reachability-aware vulnerability prioritization, autonomous base image remediation, and live dependency graph intelligence — eliminating noise from the 90–95% of CVEs in unreachable code.

The Problem

Container vulnerability scanning is broken in practice:

Alert fatigue is extreme — scanners report thousands of CVEs; 80–95% are in unreachable code paths
Static CVE lists ignore context — a vulnerability in code never executed is treated the same as one in the critical payment path
Remediation is a manual process — tools flag CVEs; developers must write the fix
No open-source tool provides reachability analysis — JFrog Xray and Snyk offer this commercially; no open-source equivalent exists

Existing solutions: Trivy and Harbor excel at detection but leave prioritization and remediation to humans. Commercial tools (Snyk, Xray) solve this but cost $25–$60/developer/month with vendor lock-in.

What This Does

Reachability-Aware Vulnerability Prioritization (AI-Native)

Static call graph analysis — which functions can actually call the vulnerable code path?
Runtime traffic trace correlation — which requests exercise vulnerable code in production?
Combined scoring — filters the 90–95% of CVEs that are theoretically present but practically unreachable
Dramatically reduces alert fatigue — focus on the 5–10% of CVEs that actually matter
No open-source tool does this — the largest single gap in the market

Autonomous Base Image Remediation

Detects "upgrading from ubuntu:20.04 to ubuntu:22.04 fixes 47 CVEs" — every scanner flags this
Automatically generates PR with base image upgrade, Dockerfile rebuild, CI test suite run
Predicts plan impact — "this change reduces layer size by 125MB, adds 2 new dependencies"
Human review only — AI opens the PR; team reviews before merge
Closes the detection-to-fix loop that all manual tools require

Live Dependency Graph Intelligence

Maintains a living knowledge graph of all images in the registry + their dependencies
Real-time CVE propagation — when a new vulnerability is published, routes alerts only to teams owning affected services
Transitive dependency visibility — detects when a newly disclosed CVE affects dependencies buried three levels deep
Automatic remediation suggestions — generates upgrade recommendations with impact analysis

Cross-Image Provenance Anomaly Detection

Behavioral baseline per image name/tag — package set, binary entropy, listening ports
Alerts on statistically anomalous changes — when a newly pushed image deviates significantly from predecessors
Detects supply chain attacks — changed packages, suspicious binaries before promotion to production
No current tool addresses this vector — unaddressed gap in security posture

Key Differentiators

Feature	This Platform	Trivy	Harbor	Snyk Container	JFrog Xray
Reachability analysis	✓ (Call graph + traces)	—	—	✓ (Score)	✓ (Contextual)
Auto base image PR	✓	—	—	✓ (Recommendations)	—
Live dependency graph	✓	—	—	✓ (Registry monitoring)	✓ (Recursive scan)
Provenance anomaly	✓ (AI-based)	—	—	—	—
Open source	✓	✓ (Apache)	✓ (Apache)	—	—
Self-hosted	✓	✓	✓	—	(Requires Artifactory)

Market & Opportunity

Market size: $450M–$1.2B (2024) → $2.1–3.5B by 2033 at 15.5–18.5% CAGR
Broader container security: $3.05B (2025) → $9.01B (2030) at 24.17% CAGR
Buyers: DevSecOps engineers, platform engineers, CISOs, cloud-native startups
Open-source gap: Reachability analysis is production-proven but not open-source; provenance anomaly detection is unaddressed

Research Foundation

80–95% of reported CVEs are in unreachable code paths (industry consensus; no single study)
Snyk Priority Score and JFrog Xray Contextual Analysis are the only production implementations
Supply chain attacks increasingly target binary/package-level artifacts — behavioral anomaly detection is an emerging defensive pattern
SBOM (CycloneDX/SPDX) adoption accelerating — foundation for dependency graph intelligence

Quick Start

# Scan image with reachability analysis
scan-container image nginx:latest \
  --reachability=enabled \
  --runtime-traces=/path/to/traffic.json

# Auto-remediate base image
remediate --image=nginx:latest \
  --target-base-image=ubuntu:24.04 \
  --create-pr

# Query live dependency graph
graph query --affected-by=cve-2024-12345 \
  --teams-to-notify
# → Returns list of affected services with team ownership

# Detect provenance anomalies
anomaly-detect --image=myapp:latest \
  --baseline-version=myapp:1.2.3

Target Users

DevSecOps Engineers — CI/CD scanning with reduced alert fatigue
Platform Engineers — self-hosted registry for air-gapped or on-prem environments
CISOs / Security Architects — SBOM generation, attestation, compliance reporting
Cloud-native Startups — zero-friction scanning without six-figure contracts
FinOps Teams — container cost attribution and optimization

Related Standards

OCI Image Specification (OCI v1.1) and OCI Distribution Specification
CycloneDX (OWASP, v1.6.1) — security-focused SBOM standard
SPDX (Linux Foundation, v3.0) — compliance-oriented SBOM format
SLSA (Supply-chain Levels for Software Artifacts) — provenance and build integrity
Sigstore / Cosign — keyless container image signing
NIST SP 800-190 — application container security guide
ISO 27001:2022 Control 8.25 — demonstrable vulnerability scanning

Built on research from NIST SP 800-190, OWASP DevSecOps Guideline, and production learnings from Trivy, Harbor, and commercial platforms. Read the full research | Feature roadmap

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