The Accuracy Problem in Vulnerability Scanning

Incomplete Image Visibility

Most scanners inspect package metadata only and miss binaries, embedded tools, and custom artifacts inside images.

Low-Fidelity CVE Results

Reported vulnerabilities often lack applicability context, forcing teams to manually validate findings.

Distro-Level CVE Noise

Distribution advisories inflate CVE counts even when affected packages are not present or reachable.

Precision Beyond Traditional Scanners

RF Analyzer replaces surface-level scanning with deep, validated analysis you can act on with confidence.

Deep Image Analysis

Enumerates all files, packages, and configurations within container images, not just those reported by package managers.

Validated CVE Applicability

Confirms whether a vulnerability truly applies to the image by accounting for distribution specifics, package presence, and configuration context.

Exploit Aware Prioritization

Applies Rapid Risk Score to focus teams on vulnerabilities most likely to be exploited in the near term.

Enterprise SBOM Generation

Export SBOMs in SPDX, CycloneDX, JSON, and CSV for audits, compliance, and customer security reviews.

Curated Images Swap Suggestion

RF Analyzer identifies when vulnerabilities originate from base images and recommends secure, near-zero CVE Curated Images as drop-in replacements.

Remove large volumes of inherited CVEs instantly
Standardize on hardened STIG and CIS aligned, FIPS validated baselines
Improve remediation speed and compliance readiness without code changes

Accuracy That Improves Security Outcomes

~20%

fewer false positives compared to traditional scanners

Complete binary

and file discovery across container layers

Faster

detection of newly published CVEs

Lightweight

footprint optimized for high-speed CI/CD