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4x more vulnerabilities detected than public databases, with real-time monitoring and AI-powered analysis. Safety's proprietary vulnerability database powers all our security products, providing unmatched protection against known and emerging threats in the software supply chain.
Safety takes a fundamentally different approach to vulnerability data. Our systems continuously monitor millions of packages across Python repositories, detecting signals of vulnerabilities through direct package analysis, code repository monitoring, and automated security research. We combine AI-powered detection with expert verification to provide the most accurate and comprehensive vulnerability database available.
Safety tracks vulnerabilities that never receive CVEs. Our database includes security issues identified through code analysis, behavioral monitoring, and our security research team—many of which never appear in public databases but pose real risk to your systems.
Every vulnerability and fix in our database is verified by our cybersecurity team. This human-in-the-loop approach ensures you receive accurate data with minimal false positives—allowing you to act with confidence on our security intelligence.
Our machine learning systems analyze changes in over 600,000 Python packages to identify patterns and signals of vulnerabilities. This allows us to detect emerging security issues before they're widely known or exploited.
New vulnerabilities and package releases are processed in seconds, not days. Safety's systems continuously ingest data from public repositories, code changes, security advisories, and research to provide immediate protection against emerging threats.
As the number of published vulnerabilities increases, public databases like NVD, GHSA and OSV are falling behind. In 2024, over 20,000 vulnerabilities remained pending analysis while attackers continued to exploit them. Traditional security solutions dependent on these sources leave your systems exposed to thousands of known threats.
Safety CLI leverages our proprietary security intelligence to detect 4x more vulnerabilities than public databases. Our cybersecurity team proactively monitors package releases and code changes, with AI-powered analysis detecting vulnerability signals that others miss.
Scanning at every stage of development
Safety delivers real-time vulnerability detection across your dependency tree, from local development environments all the way through CI/CD and into Production. Shift-Left and detecting security threats as early in the development lifecycle as possibel.
Expert-verified fixes and remediation steps
Safety's team of cybersecurity researchers monitor signals and changes in millions of open-source packages. We verify every fix to ensure our recommendations are accurate and include detailed technical advisories for every vulnerability.
Safety 3.3.2 scanning
Project: get-safety
Environment: development
Scan policy: fetched from Safety Platform
Python detected. Found 4 Python requirements files
and 3 Python environments
Dependency vulnerabilities detected:
jinja2==3.1.4 [1 vulnerability found]
-> Vuln ID 74735:
A vulnerability in the Jinja compiler allows...
Learn more: https://platform.safetycli.com
Update jinja2==3.1.4 to jinja2==3.1.5 to fix 1 vulnerability
Tested 1236 dependencies for security issues using policy fetched from Safety Platform
1 vulnerabilities found, 3 ignored due to policy.
1 fixes suggested, resolving 1 vulnerabilities.
View Scan Results: https://platform.safetycli.com/register
Safety's full-time team of cybersecurity researchers dedicated to researching vulnerabilities and malicious packages. Our team has a track record of discovering novel vulnerabilities, often before package maintainers.
Our team of cybersecurity experts is available to all Enterprise customers to provide guidance, input and research on software supply chain security.
Assessing risk based on severity data alone results in security noise, vulnerability fatigue, and distraction from the findings that truly matter.
Our Vulnerability Database extends beyond CVE severity data to include Reachability, Package Health and Exploitability.
This context reduces noise and enables teams to prioritize critical findings and eliminate vulnerability noise by up to 90%.
