guardlayer
PulseGate's liveness check found it on 29 Sep 2026; it is registered on PyPI and has been in the index since 29 Sep 2026. How this is checked
guardlayer is a lightweight security layer for filtering inputs and outputs in LLM and agent applications. It addresses prompt injection, jailbreaks, secrets, PII, leakage, and unsafe actions, and is distributed as an MIT-licensed Python package.
Inferred · not functionally tested
Overview
6 featuresPurpose: Preventing prompt injection, jailbreaks, data leakage, PII exposure, and unsafe actions in LLM and agent applications.
Inferred · not functionally tested
Audience: developers building LLM and agent applications
Inferred · not functionally tested
Functions: agents, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT License · platforms: CLI · deployment: cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org. These links do not verify the individual claims.
In the AI security & guardrails space, guardlayer takes a focused approach. Inferred · not functionally tested: It focuses on preventing prompt injection, jailbreaks, data leakage, PII exposure, and unsafe actions in LLM and agent applications. Inferred · not functionally tested: It is built as an open-source project for developers building LLM and agent applications. Basis unknown · not verified: The project is open source (MIT License). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.
guardlayer first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are input filtering, output filtering, and prompt injection detection.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Input filtering
- Output filtering
- Prompt injection detection
- Jailbreak detection
- Secret detection
- PII redaction
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
3What PulseGate has recorded for this listing
- Indexed29 Sep · 10:50 UTCguardlayer seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about guardlayer
- What does guardlayer do?
- Inferred · not functionally tested: Guardlayer focuses on preventing prompt injection, jailbreaks, data leakage, PII exposure, and unsafe actions in LLM and agent applications. It is catalogued under AI security & guardrails on PulseGate.
- Who should use guardlayer?
- Inferred · not functionally tested: guardlayer is an open-source project built for developers building LLM and agent applications.
- Is guardlayer free?
- Basis unknown · not verified: Yes — guardlayer is open source under the MIT License and free to use.
- What platforms does guardlayer run on?
- Basis unknown · not verified: guardlayer runs on the command line and API. It can also be self-hosted.
- Is guardlayer still active?
- PulseGate's liveness check found it on 29 Sep 2026.
- How long has guardlayer been around?
- guardlayer first shipped in 2026.
- Is guardlayer open source?
- Basis unknown · not verified: Yes — guardlayer is open source under the MIT License.
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