Services

M.A.D.E. — Attack

AI Red Team & Adversarial Testing

AI red team testing for prompt injection, RAG, tools, and agents

Test the attack paths most likely to affect your AI product before launch, buyer review, or production scale.

Reproducible attacks. Engineering-ready fixes.

Get attack findings your engineering team can reproduce and fix, along with evidence your security team and buyers can review.

We test prompt injection, indirect prompt injection, retrieval abuse, tenant leakage, tool misuse, permission escalation, unsafe autonomy, policy bypass, and chained attack paths.

Scope an AI red team Back to services

Best for

CISO, Product Security, Red Team, AI Engineering Lead

Engagement model

assessment

Duration

3-6 weeks

Deliverables

5 deliverables

What it covers

Prompt injection, indirect prompt injection, retrieval abuse

Tenant leakage, tool misuse, permission escalation

Unsafe autonomy, policy bypass, chained attack paths

Reproducible findings and engineering-ready fixes

Use when

We need adversarial evidence.A buyer or launch gate requires red-team proof.RAG, prompt injection, jailbreak, or misuse risk needs replayable findings.

Supporting products

SecEng Code Scanner

Code-derived abuse paths that seed adversarial range validation.

SecEng Adversarial Range

Scenario-backed adversarial test harness.

SecEng RAG Test Harness

Retrieval leakage, poisoning, and tenant-boundary testing.

SecEng Runtime Proxy

Evidence capture for prompts, responses, tools, and context.

Related research

AI Product Security in the Age of Mythos

Technical framing for AI product threat models.

Agentic Anarchy

Finding context for delegated-action security.

Related people

David Wolf

Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.

Alex Eisen

Finds real AI attack paths through applied vulnerability research, adversarial testing, and incident-informed threat analysis.

Alex Karoulias

Engineering student at Athens Technical University, Class of 2027

Tim Kerimbekov

Related evidence

Agentic Browser Security Assessment

Confidential AI Automation Platform

UNUM LLM Attack Story & Detection Engineering

UNUM

AI Governance Controls with Garak, NeMo Guardrails, Presidio & Promptfoo

Confidential AI Governance Program

Related services

attack

Agentic Workflow Abuse Review

A blast-radius map and permission policy your engineering team can ship to production.

defend

Agentic Workflow Security & Hardening

Get clear action boundaries, approval gates, release checks, and incident controls your team can enforce.

Start here

Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.

Request Adversarial Testing

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