- What is AI Red Teaming?AI red teaming is an adversarial security assessment that simulates real-world attacks against AI systems - LLMs, agents, copilots and chatbots - to find how an attacker could manipulate, jailbreak, or abuse the model before it reaches production.
- What's the difference between AI red teaming and penetration testing?
Penetration testing targets infrastructure and application code. AI red teaming attacks the intelligence layer - the model's reasoning, guardrails, and tool access - using adversarial techniques like prompt injection and jailbreaks that conventional pentests don't cover.
- What AI systems do you test?LLMs, AI agents, RAG systems, chatbots, copilots, and the model APIs and application stack around them.
- Is AI red teaming available as a service (RTaaS)?Yes. We offer both one-off engagements and AI Red Team as a Service — recurring adversarial testing on a defined cadence for teams shipping AI continuously.
- How much do AI red teaming services cost?Cost depends on the number and complexity of AI systems, whether agents and tool integrations are in scope, and one-off vs continuous cadence. Request a scoped quote and we'll return pricing within 24 hours.
- Do you test AI in financial services and regulated industries?Yes. We red team AI in banking, financial services, healthcare and other regulated sectors, with findings structured as evidence for AI governance and compliance.
- Can you give examples of AI red teaming attacks?Common examples include indirect prompt injection through an ingested document, jailbreaking a chatbot past its safety guardrails, extracting training data or system prompts, and manipulating an AI agent into taking an unauthorised action through its connected tools.
- What framework do you follow for AI red teaming?Our methodology aligns to the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI Risk Management Framework.
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