Fickling focuses on malware detection. 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
Decompiles and analyzes Python pickle files to detect malicious code injection in ML models.
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
Scans models (h5, pickle, saved_model) to determine if they contain unsafe code or malware.
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.
Decompiles and analyzes Python pickle files to detect malicious code injection in ML models. It is categorized under Model & Supply Chain Security in the Guardion AI Security Index.
Yes. Fickling has an open-source core (https://github.com/trailofbits/fickling); pricing model: Open Source.
Teams evaluating Fickling most often compare it with ModelScan, Meta (Llama Guard), garak (NVIDIA), and GuardionAI — all listed under Model & Supply Chain Security.
Fickling focuses on malware detection, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.