sectum-ai

Multi-tenant AI verification. This is the core distribution of Sectum AI: the marker-substrate runner and the sectum-ai command-line interface.

Sectum AI provisions synthetic tenants on an AI stack, seeds them with cryptographic canary markers, runs benign and adversarial probes from each tenant's session, and detects cross-tenant data leakage across every surface — producing tamper-evident, control-mapped evidence that an auditor accepts.

Install

pip install sectum-ai

This pulls the full family: sectum-ai-spec (data models), sectum-ai-probes (the Class 1–11 and 13 attack catalog + leak-detection pipeline), sectum-ai-adapters (connectors for vector stores, caches, memory, observability, RAG, agents, MCP, and the search-index / eval-set / backup erasure surfaces), and sectum-ai-evidence (the tamper-evident evidence chain + sectum-ai verify).

Quickstart

sectum-ai seed      # provision synthetic tenants + plant canary markers
sectum-ai probe     # run the attack catalog from each tenant's session
sectum-ai report    # assemble a signed, control-mapped evidence pack (JSON + PDF)
sectum-ai verify .sectum-ai/evidence.json   # independently re-verify the pack

Links

Apache-2.0. The marker substrate, attack catalog, adapters, evidence chain, and the independent sectum-ai verify are fully open source.

Project links

Data verified by PyPI on Aug 16, 2026
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  • Released:
Newer release available (0.10.0)

1 maintainer

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Avatar for dmitrymaranik from gravatar.com dmitrymaranik

Credits

Author: Sectum AI

GitHub Statistics

Data verified by PyPI on Aug 16, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.12

Provides Extra

bedrock clip cohere encryption multimodal openai sentence-transformers voyage weasyprint

Tags

ai-security llm multi-tenant rag verification

Classifiers

Report project as malware

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