ModelScan focuses on supply chain security. many teams evaluate alternatives for broader agent coverage, different deployment models, or pricing that fits their scale. Here are the top competitors to consider.
Category: Model & Supply Chain Security
Scans models (h5, pickle, saved_model) to determine if they contain unsafe code or malware.
Agent runtime governance — EDR for AI agents. Guardion governs every agent command, tool call, and data access inline: a security gateway, runtime guardrails, DLP, and detection & incident response for AI agents.
sub-130ms guardrails latency • 96.3 F1 on the Prompt Security Leaderboard with 0.02% false positives • 50M+ agent actions protected per month
Decompiles and analyzes Python pickle files to detect malicious code injection in ML models.
A set of LLM safeguards designed to detect violating content across multiple use cases. Model-based guardrail.
Generative AI Red-teaming & Assessment Kit, now maintained by NVIDIA. Scans LLMs for hallucinations, data leakage, and prompt injection with a comprehensive probe library.
Scans models (h5, pickle, saved_model) to determine if they contain unsafe code or malware. It is categorized under Model & Supply Chain Security in the Guardion AI Security Index.
Yes. ModelScan has an open-source core (https://github.com/protectai/modelscan); pricing model: Open Source.
Teams evaluating ModelScan most often compare it with Fickling, Meta (Llama Guard), garak (NVIDIA), and GuardionAI — all listed under Model & Supply Chain Security.
ModelScan focuses on supply chain security, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.