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Title: AgentLock: Pre-Action Authorization for AI Agents | Benchmarked Reference Implementation

Open Graph Title: AgentLock: Pre-Action Authorization for AI Agents

X Title: AgentLock: Pre-Action Authorization for AI Agents

Description: AgentLock is an open-source, adversarially benchmarked reference implementation for pre-action AI agent authorization. Deny-by-default tool permissions, signed receipts, audit logging. pip install agentlock.

Open Graph Description: AgentLock is an open-source, adversarially benchmarked reference implementation for pre-action AI agent authorization. Deny-by-default tool permissions, signed receipts, audit logging. pip install agentlock.

X Description: AgentLock is an open-source, adversarially benchmarked reference implementation for pre-action AI agent authorization. Deny-by-default tool permissions, signed receipts, audit logging. pip install agentlock.

Keywords:

Opengraph URL: https://agentlock.dev

X: @agentlock

direct link

Domain: agentlock.dev


Hey, it has json ld scripts:
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theme-color#1B2A4A
authorDavid Grice
og:site_nameAgentLock
og:imagehttps://agentlock.dev/og-image.png
og:image:width1200
og:image:height630
og:image:altAgentLock: Pre-Action Authorization for AI Agents
og:typewebsite
twitter:cardsummary_large_image
twitter:imagehttps://agentlock.dev/og-image.png
twitter:image:width1200
twitter:image:height630
twitter:image:altAgentLock: Pre-Action Authorization for AI Agents

Links:

Playgroundhttps://agentlock.dev#demo
GitHubhttps://github.com/webpro255/agentlock
Docshttps://github.com/webpro255/agentlock/blob/main/README.md
PyPIhttps://pypi.org/project/agentlock/
Try the Playgroundhttps://agentlock.dev#demo
See the whole table, including where the gate costs more than it saves.https://agentlock.dev#benchmark
GitHubhttps://github.com/webpro255/agentlock
PyPIhttps://pypi.org/project/agentlock/
Documentationhttps://github.com/webpro255/agentlock/blob/main/README.md
0.00% defense-effective attack success on AgentDojo under selective gating (v1.4); slack utility floors at 4.76%. See the whole table.https://agentlock.dev#benchmark
Baseline, decisions and predictions https://github.com/webpro255/agentlock/blob/main/docs/PREDICTIONS_v111_review_gaps.md
Full report and pre-registration https://github.com/webpro255/agentlock/releases/tag/v1.4.0
Read the paper https://doi.org/10.5281/zenodo.21270300
Paper 1 (uniform gate, v1.3) https://doi.org/10.5281/zenodo.21270300
Paper 2 (selective gate, v1.4) https://doi.org/10.5281/zenodo.21363120
Full statement, every number with its corpus and denominator https://github.com/webpro255/agentlock/blob/main/docs/LIMITATIONS_v16.md
Full Benchmark Report (v1.1 and v1.2) https://github.com/webpro255/agentlock/blob/main/docs/benchmark.md
agentprov.com/model https://agentprov.com/model
Provenance-Based Pre-Action Authorization for LLM Agents: A Structural Defense Evaluated on AgentDojo with AgentLockGrice, D. (2026). Zenodo. DOI: 10.5281/zenodo.21270300https://doi.org/10.5281/zenodo.21270300
Selective Provenance Gating: Recovering Agent Utility Where Recovery Is SoundGrice, D. (2026). Zenodo. Builds on Paper 1. DOI: 10.5281/zenodo.21363120https://doi.org/10.5281/zenodo.21363120
10.5281/zenodo.22679860https://doi.org/10.5281/zenodo.22679860
https://doi.org/10.5281/zenodo.22681594https://doi.org/10.5281/zenodo.22681594
0009-0005-5388-123Xhttps://orcid.org/0009-0005-5388-123X
David Grice (webpro255)https://github.com/webpro255
ORCIDhttps://orcid.org/0009-0005-5388-123X
LinkedInhttps://www.linkedin.com/in/grice-secure
GitHubhttps://github.com/webpro255
Zenodohttps://zenodo.org/search?q=metadata.creators.person_or_org.identifiers.identifier%3A0009-0005-5388-123X
https://github.com/webpro255/agentlock
https://pypi.org/project/agentlock/
https://agentlock.dev
GitHub Repositoryhttps://github.com/webpro255/agentlock
PyPI v1.11.0https://pypi.org/project/agentlock/1.11.0/
Documentationhttps://github.com/webpro255/agentlock/blob/main/README.md
JSON Schemahttps://github.com/webpro255/agentlock/blob/main/schema/agentlock-v1.5.json
Research Paper (DOI)https://doi.org/10.5281/zenodo.21270300
Software Archive (Zenodo DOI)https://doi.org/10.5281/zenodo.22681594
Commercial Licensinghttps://github.com/webpro255/agentlock/blob/main/COMMERCIAL.md
LangChainhttps://github.com/webpro255/langchain-agentlock
CrewAIhttps://github.com/webpro255/crewai-agentlock
OpenAI Agentshttps://github.com/webpro255/openai-agentlock
OpenClawhttps://github.com/webpro255/openclaw-agentlock
AutoGenhttps://github.com/webpro255/agentlock/tree/main/agentlock/integrations
MCPhttps://github.com/webpro255/agentlock/tree/main/agentlock/integrations
mcp-agentlockhttps://github.com/webpro255/mcp-agentlock
FastAPI / Flaskhttps://github.com/webpro255/agentlock/tree/main/agentlock/integrations
David Gricehttps://github.com/webpro255
AgentProvhttps://agentprov.com
AI agent incident cataloghttps://agentprov.com/incidents

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