PluginStatsVeritensor: AI & Data Security installs statistics
By arsbr · GitHub Marketplace
The all-in-one security scanner for AI. Detect malware in models, prompt injections in RAG data, and secrets in notebooks
Veritensor: AI & Data Security has 6 recorded installs on GitHub Marketplace.
It ranks #1129 of 1,410 tracked GitHub Marketplace listings by installs.
PluginStats has 2 daily observations since Oct 16, 2026; the latest is from Oct 19, 2026.
About Veritensor: AI & Data Security
Veritensor is an Enterprise-grade AI Supply Chain Security platform and RAG Firewall. While traditional SAST tools scan source code, Veritensor secures the actual artifacts your AI consumes: Vector DB documents, Jupyter notebooks, datasets, and model weights. Shift your AI security left to block Prompt Injections, Data Poisoning, PII leaks, and Remote Code Execution (RCE) before they reach production.
The Security Blind Spot in AI Development
Traditional security tools flag safe Data Science code as threats—creating alert fatigue—while missing real risks unique to AI pipelines: prompt injections hidden in documents, remote code execution (RCE) payloads in .pkl models, and leaked secrets inside Jupyter Notebook outputs.
Veritensor solves this gap. It is a blazing-fast, deterministic security scanner built specifically for the AI supply chain and Retrieval-Augmented Generation (RAG) systems—helping teams verify models, datasets and documents before they reach production.
🔥 Key Features
🛡️ RAG & Document Security
• Detects prompt injections and jailbreak patterns in .pdf, .docx, .txt • Identifies hidden or obfuscated content (CSS tricks, invisible text) • Zero-Shot PII Detection across 100+ languages (API keys, SSNs, tokens) • Supports GDPR/SOC2 compliance workflows
📓 Jupyter Notebook Hygiene
• Scans output cells for secrets (AWS, OpenAI, Hugging Face tokens) • Detects unsafe shell execution (!pip, %%bash) • Uses Shannon Entropy analysis to uncover unknown or obfuscated secrets
📦 Model & Dataset Protection
• Detects RCE in Pickle, PyTorch, and Keras via Virtual Machine Emulation • Stream-scans large datasets (CSV, Parquet) without OOM • Verifies integrity via Hugging Face hash validation
🔗 Supply Chain Defense
• Detects typosquatting (e.g., tourch) in dependencies • Integrates with OSV.dev to detect known vulnerabilities (CVEs)
🚀 CI/CD Ready & Enterprise Scalable
• Native SARIF support for GitHub Security • Generates CycloneDX 1.5 SBOMs (AI-BOM) • Smart filtering reduces Data Science noise
🏢 Open-Core Architecture
Runs fully locally and is designed to be extensible for custom rules, integrations, and security workflows.
For advanced enterprise capabilities and extended deployment options, contact us.
Stop guessing. Prove your AI artifacts are safe with Veritensor.
Description from the GitHub Marketplace listing.
- Security
- Code Scanning Ready
Where Veritensor: AI & Data Security sits in the listing
Each band is one page of 20. Installs on a log scale. Placement is projected from installs, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.
Charts
Images: 30d · 1y · all time · 1600×900 dark
Adoption over time
7/30/90-day growth
Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
Recent observations
Full history (2)Similar GitHub Marketplace plugins
Data source
Install counts (installations of each GitHub App across accounts and organizations) are read from public GitHub Marketplace listing pages. GitHub does not publish ratings. Category positions reflect GitHub's own popularity sort.
Listing: https://github.com/marketplace/veritensor-ai-data-security. First seen Oct 16, 2026; last successful collection Oct 19, 2026. See the methodology.