MC Project Lab
Medusa AI, adaptive offensive orchestrator for AI agents
Red Team Lab · Conversational security testing

Medusa AI

Medusa puts AI assistants and agents under pressure across a whole conversation. If the system resists an attempt, Medusa tries again with a different wording, up to three per area, to find out where the AI does not follow the rules or assigned limits before release.

Tests are run only on authorized systems. The checks use harmless control codes and, in the simulated configuration, do not perform actions on company systems.

What the product does

Geronimo tries nine variants of a single request. Medusa instead conducts a multi-step dialogue and moves on to the next request only if the AI resisted the previous one.

1 · Test

Starts a safe test

Each test checks a specific rule using harmless control codes, with no destructive content.

2 · Adaptation

Changes approach on the fly

If the assistant refuses a request, Medusa tries a different wording to see whether it gives way at the second or third step.

3 · Report

Tracks every response

The report records the question, the response received, the outcome observed against the rule checked and the areas where the system gave way.

Five areas of verification in AI assistants

Each area is checked with test requests. Medusa checks whether the response contains the code that signals a failure.

Assigned task

Checks whether a user can convince the AI to stray from the job it was set up for.

Memory and rules

Checks whether untrusted messages or content can introduce persistent instructions that influence later answers.

Tool access

Checks whether the AI, in a simulated environment, flags an unauthorized tool-use request (for example reading data or calling forbidden functions), without executing it.

Role and permissions

Checks whether the AI gives in to someone pretending to have administrator permissions or command roles.

Hand-off to other systems

Checks whether the assistant can pass unauthorized commands to other connected software or agents.

Security features

The initial configuration is designed for controlled tests with a simulated target and external connections disabled by default.

Works without an external connection

The simulated target makes it possible to check responses without sending data over the internet or to remote models.

Connections only with authorization

A connection to a real system starts only with explicit authorization, and addresses outside the computer need a second permission.

No destructive action

Medusa only observes the response: it does not open confidential files, does not run commands and does not touch company data.

Red Team Lab and conversational acceptance testing

Medusa is the internal Red Team Lab tool we use to test AI assistants and workflows, to identify deviations from the rules and fix the weaknesses before going into production.

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