GraphCanon updated Sep 14, 2026 · GitHub synced Sep 14, 2026
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Decision brief
An ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance.
Good fit when
- When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs
- In situations where the immediate isolation or flagging of jailbreak attempts is crucial to maintain system integrity and user safety
Avoid when
- If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations
- For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (780d since push)
- As of Sep 14, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 14, 2026
- Security (OSV)
- 185 low (185 low)
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install last_layerSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Last Layer is an ultra-fast tool designed for low-latency detection of prompt injections and jailbreak attempts in large language models.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 14, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 14, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 14, 2026)
```python from last_layer import scan_prompt, scan_llmSource link
Tags
README
📦 Installation To install , simply run: ⛓️ Quick Start Import and use last layer in your project to scan prompts and responses from LLMs: ```python from last layer import scan prompt, scan llm License Distributed under the MIT License. See LICENSE for more information.
For agents
This page has a .md twin and JSON over the API.