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InjectionShield

agentlabjournal.online·Infrastructure

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.

Open SourceWebCLISelf-hosted
IInjectionShield preview
Visit agentlabjournal.online↗
1alternative
5features
2025since

Overview

5 features

InjectionShield is a LLM eval & observability project. It focuses on preventing untrusted input from injecting malicious instructions into AI agents without relying on cloud services or machine learning. InjectionShield is an open-source project aimed at AI security researchers and developers. InjectionShield is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.

InjectionShield first shipped in 2025. Key capabilities include Prompt Injection Filter, Deterministic Rules, and Test Evaluation.

Summary written by a language model from the project’s public pages.

  • ✓Prompt Injection Filter
  • ✓Deterministic Rules
  • ✓Test Evaluation
  • ✓Zero Network Dependency
  • ✓False Positive Measurement
Tags
prompt-injectionsecurity-filterlocal-defenseagent-securitydeterministic-filter
AI capabilities
Inference: Local

Built with & integrations

Runs on
BrowserCLISelf-hosted

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Open Source

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed29 Jul · 13:34 UTC
    Testing Local Prompt-Injection Protection with InjectionShield verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about InjectionShield

What does InjectionShield do?
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 LLM eval & observability on PulseGate.
Who is InjectionShield for?
InjectionShield is an open-source project built for AI security researchers and developers.
Does InjectionShield have a free plan?
Yes — InjectionShield is open source under the Open Source license and free to use.
What platforms does InjectionShield run on?
InjectionShield runs on the web and the command line. It can also be self-hosted.
Is InjectionShield still active?
Unverified. InjectionShield has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to InjectionShield?
Similar projects tracked by PulseGate include InjectShield, agent-shield-int, and SafePrompt.InjectShieldagent-shield-intSafePrompt
How long has InjectionShield been around?
InjectionShield first shipped in 2025.
Is InjectionShield open source?
Yes — InjectionShield is open source under the Open Source license.

At a glance

Platforms
Web
Languages
English
License
Open Source
Built for
AI security researchers and developers
Model
Open source
Solves
Preventing untrusted input from injecting malicious instructions into AI agents without relying on cloud services or machine learning.

Developer

Agentlabjournal

Live coverage

Identity confidence
Medium · 68
Indexed
29 Jul 2026
Lifecycle
Alive
Last seen
29 Jul 2026
Identity audit (13)
Slug
testing-local-prompt-injection-protection-with--agentlabjournal-online
Lifecycle state recorded
29 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
29 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Last updated
29 Jul 2026
Canonical URL
https://agentlabjournal.online/en/test-prompt-injection-injectionshield.html

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Similar apps

Closest matches by what these projects do

  • INInjectShieldinjectshield.dev
  • AGagent-shield-intpypi.org
  • SASafePromptsafeprompt.dev