Safe Labs AI

Purpose: Testing and identifying vulnerabilities in AI agents before attackers exploit them.

Inferred · not functionally tested

Audience: AI security researchers and developers

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: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: agentsafelabs.com · github.com. These links do not verify the individual claims.

In the AI security & guardrails space, Safe Labs AI takes a focused approach. Inferred · not functionally tested: It focuses on testing and identifying vulnerabilities in AI agents before attackers exploit them. Inferred · not functionally tested: It is built as an open-source project for AI security researchers and developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: Safe Labs AI is available on the command line, and it can be self-hosted.

It is developed by AgentSafeLabs, and it first shipped in 2026. The project is developed in the open on GitHub with 13 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include red-teaming, OWASP ASI alignment, and compliance reports. Inferred · not functionally tested: Catalogued interfaces include a public API.

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