InjectionShield
PulseGate's liveness check found it on 14 Sep 2026; it has been in the index since 29 Jul 2026. How this is checked
InjectionShield is a lightweight, deterministic Python module that acts as a gate in front of AI agents to block prompt injection attacks. It uses rule-based detection on untrusted inputs such as emails or tool outputs, produces measurable error rates on labeled test sets, and requires no network, API, or ML model. The accompanying guide walks users through building, testing, and evaluating the filter with safe and malicious prompt corpora.
Inferred · not functionally tested
Overview
5 featuresPurpose: Preventing untrusted input from injecting malicious instructions into AI agents without relying on cloud services or machine learning.
Inferred · not functionally tested
Audience: AI security researchers and developers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: agentlabjournal.online. These links do not verify the individual claims.
InjectionShield is an AI & LLM security project. Inferred · not functionally tested: It focuses on preventing untrusted input from injecting malicious instructions into AI agents without relying on cloud services or machine learning. Inferred · not functionally tested: InjectionShield is an open-source project aimed at AI security researchers and developers. Basis unknown · not verified: InjectionShield is open source under the Open Source license. Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.
Inferred · not functionally tested: Key capabilities include Prompt Injection Filter, Deterministic Rules, and Test Evaluation.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Prompt Injection Filter
- Deterministic Rules
- Test Evaluation
- Zero Network Dependency
- False Positive Measurement
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed29 Jul · 13:34 UTCTesting Local Prompt-Injection Protection with InjectionShield seen via DEV.to articlesSource: DEV.to articles · Open
Frequently asked questions about InjectionShield
- What does InjectionShield do?
- Inferred · not functionally tested: InjectionShield focuses on preventing untrusted input from injecting malicious instructions into AI agents without relying on cloud services or machine learning. It is catalogued under AI & LLM security on PulseGate.
- Who is InjectionShield for?
- Inferred · not functionally tested: InjectionShield is an open-source project built for AI security researchers and developers.
- Does InjectionShield have a free plan?
- Basis unknown · not verified: Yes — InjectionShield is open source under the Open Source license and free to use.
- What platforms does InjectionShield run on?
- Basis unknown · not verified: InjectionShield runs on the web and the command line. It can also be self-hosted.
- Is InjectionShield still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What are alternatives to InjectionShield?
- Similar projects tracked by PulseGate include InjectShield, PromptShield, and agent-shield-int.InjectShieldPromptShieldagent-shield-int
- Is InjectionShield open source?
- Basis unknown · not verified: Yes — InjectionShield is open source under the Open Source license.
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