AI Red Teaming

Attack Your AI Before Someone Else Does

Adversarial testing of your LLMs, copilots and AI agents by offensive security engineers. We combine automated attack generation with hand-crafted scenarios built from real adversary tradecraft — jailbreaks, indirect prompt injection, data extraction, harmful-output and policy bypass — and map every finding to the OWASP Top 10 for LLM Applications, MITRE ATLAS and the NIST AI RMF. You get reproducible attack transcripts, a severity-ranked report and a retest, not a scorecard.

AI Red TeamingLLMJailbreakPrompt InjectionNew

What's Included

Comprehensive service features designed to meet your security and development needs.

Jailbreak & Guardrail Bypass

Multi-turn, role-play, encoding and obfuscation attacks against your system prompt, safety filters and content policies — including attacks that only succeed over a long conversation.

Indirect Prompt Injection

Poisoned documents, web pages, emails and RAG sources that hijack the model when it reads them — the attack path most production assistants are exposed to.

Data & Secret Extraction

Attempts to pull system prompts, training data, other users’ conversations, API keys and PII out of the model and its retrieval layer.

Multimodal & Voice Attacks

Adversarial images, audio and files for vision and voice-enabled models, where text-only filters do not look.

Automated + Human Testing

Automated attack generation gives breadth across thousands of prompts; our testers supply the creative, context-heavy scenarios automated tools miss.

Regulatory Evidence

Findings mapped to OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF, with documentation that supports EU AI Act and ISO 42001 testing obligations.

Key Benefits

Why organizations choose this service

Find jailbreaks and data leaks before launch, not after a screenshot goes viral

Reproducible attack transcripts your engineers can turn into regression tests

Coverage of indirect injection through RAG, email and documents

Evidence for AI governance, EU AI Act and ISO 42001 programmes

Retest of every remediated finding

AI Red Team Engagement

Our proven methodology for delivering ai red teaming

1
01

Threat Modelling

Map the model, system prompt, tools, data sources and users; agree what “harm” means for your use case.

2
02

Automated Attack Sweep

Run large-scale automated jailbreak and injection campaigns to establish a baseline.

3
03

Manual Adversarial Testing

Expert testers chain techniques into realistic attack scenarios against your specific deployment.

4
04

Reporting & Retest

Severity-ranked findings with transcripts and fixes, followed by a retest of every remediated issue.

Technologies We Use

OWASP Top 10 for LLMMITRE ATLASNIST AI RMFEU AI ActISO 42001PyRITgarakPromptfoo

Ready to Get Started?

Contact us today to discuss your ai red teaming needs and receive a custom proposal.