plexiglass
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Plexiglass is a Python-based toolkit aimed at detecting and mitigating vulnerabilities in Large Language Models, with a focus on cybersecurity and adversarial attacks.
Good fit when
- When you need to evaluate the robustness of Large Language Models against adversarial attacks.
- If your project involves deep learning models and you require tools to enhance cybersecurity measures specifically for LLMs.
Avoid when
- If your project does not involve Large Language Models and you are looking for general cybersecurity tools.
- When you are working with small-scale models where the overhead of using Plexiglass might not be justified.
- Pricing:
- freemium - The toolkit is free to use under the Apache-2.0 license, but advanced features or support might incur costs.
- Requirements:
- Min 4 GB RAM; Python environment is required for installation and operation.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (225d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install plexiglassSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Plexiglass is a Python-based toolkit designed to detect and mitigate vulnerabilities in Large Language Models, focusing on adversarial attacks and cybersecurity.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
`pip install --upgrade plexiglass`Source link
Tags
README
Installation The first experimental release is version . To download the package from PyPi:
For agents
This page has a .md twin and JSON over the API.