Know What You Ship. Secure What You Depend On

From Log4j to license violations, Trace-AI helps you stay ahead of what’s in your stack and what’s coming for it.

Real-time SBOM generation from your builds
Exploit-aware risk scoring, and license compliance straight from your repos
Complete supply chain visibility across your entire technology stack
ISO 27001 A.12.1.2 & A.14.2.4, SOC 2 CC8.1+ aligned

TRUSTED BY BUILDERS LIKE YOU

“Reactive SBOMs Reveal Issues After the Fact

Predictive Insights Keep You a Step Ahead.”

Explore our recorded walkthrough and discover how development and security teams can proactively identify and remediate vulnerabilities across every stage of your software supply chain

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Core Capabilities of Trace-AI

Real-time SBOMs. Risk-aware dependencies. Vendor transparency.

Generate SBOMs directly from your code - no manual mapping or guesswork

Trace-AI extracts your complete software bill of materials from every build or pipeline, covering both direct and transitive dependencies. You get real-time visibility into what’s actually being shipped, not just what’s declared in manifests.

Continuous SBOMs that evolve with your source code - instantly auditable and exportable.

Intelligent Risk Scoring That Cuts Through the Noise

Stop drowning in alerts. Trace-AI's 5-factor risk scoring prioritizes the vulnerabilities that actually threaten your business, not just the ones with the highest CVSS scores.
What makes it smarter:

Multi-dimensional analysis combining CVE severity, CWE patterns, exploit likelihood, package health, and version drift
Contextual prioritization based on whether vulnerabilities are actively exploited in the wild
Actionable intelligence from OSV.dev, NVD, GitHub Security Advisories, and MITRE ATT&CK
Automated remediation guidance with specific fix versions and upgrade paths

Teams reduce their vulnerability backlog by 60% and increase fix velocity by 3x by focusing on what actually matters, not every theoretical risk.

Know your licenses before they become liabilities.

Trace-AI scans dependencies for license obligations, incompatibilities, and restrictive clauses - surfacing risks before they impact due diligence or audits. From GPL conflicts to dual-license ambiguities, every risk is contextualized with suggested remediations.

Prevent legal exposure during audits, M&A, or compliance checks.

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Built on trust. Verified by everyone.

Trace-AI is built on the ZSBOM framework - an open, verifiable foundation designed for transparency and trust. This architecture enables security teams, auditors, and partners to inspect, validate, and extend the logic behind every decision. By design, ZSBOM ensures that validation within Trace-AI remains reproducible, predictable, and compliant with enterprise-grade assurance standards

Zero dark logic - complete supply chain visibility.

Package Abandonment

Trace-AI flags unmaintained packages by tracking last commit, commit frequency, and releases using GitHub API and PyPI data - important since attacks like event-stream (2018) exploited abandoned projects

Typosquat Heuristics

Using string distance and keyboard proximity, Trace-AI detects deceptive typosquatting packages early, preventing supply chain attacks seen in npm repositories (2021).

Time Saver

Trace-AI checks for mismatches between declared and installed package versions to uncover hidden risks, addressing gaps exposed by SolarWinds breach (2020).

Transitive Depth Risk

By analyzing dependency depth, Trace-AI highlights risky, deep chain dependencies - critical after vulnerabilities like Log4Shell (2021) exploited unnoticed transitive packages.

License Risk Assessment

Trace-AI evaluates license clarity and type, helping prevent costly legal exposures from GPL and copyleft violations.

Known CVEs & CWE Coverage with Exploitability Mapping

It combines CVSS, fix status, and active exploit data to focus on real-world threats, reducing false positives.

Trace-AI’s Unique Risk Scoring Dimensions: A Deeper, Predictive Approach to Vulnerability Probability

Export in CycloneDX, SPDX & Standard Formats

Create SBOMs in CycloneDX, SPDX, JSON or XML - compatible with auditors, scanners, and regulatory mandates.

Plug into tools like Dependency-Track, Grype, or your GRC platform.

Map to Frameworks Like ISO 27001 & SOC 2

Trace-AI aligns supply chain visibility to compliance controls like A.12.1.2, A.14.2.4, and CC8.1.

What’s in your product now maps cleanly to your audit checklist.

Add & Monitor Third-Party Vendors

Extend visibility to APIs, SDKs, and vendor platforms including breach history, SLA expiry, and risk weight.

Not all risk comes from code. Some comes from contracts.

Scan for CVEs and Known Exploits

Real-time CVE checks, exploitability indexing, and vulnerability context not just raw CVE dumps.

Know what’s exploitable, not just what’s present.

Real-Time Supply Chain Risk Dashboard

As your stack evolves, Trace-AI updates your risk model and alerts you to new exposure - across code, infra, and vendor links.

Finally, a live SBOM that actually lives.

Classify Dependencies by License, Source, and Risk

Each dependency is tagged with open-source license type, origin, and severity including whether it’s risky, outdated, or exploit-prone.

No CLI overhead. No manual mapping. Built for CI/CD.

Generate SBOMs Directly from Your Codebase

Trace-AI auto-generates a full Software Bill of Materials (SBOM) from your Python repo or build capturing direct and transitive dependencies