How is AI red teaming different from a normal pentest?
A traditional pentest validates your network, web apps, and infrastructure. AI red teaming targets the new attack surface your LLM features introduce—prompt injection, data exfiltration through agents, RAG poisoning, and malicious-code generation—risks a standard pentest never touches.
Do you test LLM applications, agents, and RAG pipelines?
Yes. We test chatbots, copilots, custom agents, and retrieval-augmented generation systems—whether you're using a hosted model, a fine-tuned model, or your own deployment. Findings map to the OWASP Top 10 for LLMs and MITRE ATLAS.
Can you test our AI feature before we launch?
Absolutely—pre-launch is the ideal time. We'll scope around your release timeline and deliver findings and remediation before you ship.
What's the typical engagement timeline?
Timelines vary based on scope. Smaller assessments typically take 1-2 weeks, while comprehensive engagements may require 4-8+ weeks. We'll provide a detailed timeline during scoping.
How do you ensure confidentiality?
All engagements begin with comprehensive confidentiality agreements. We maintain secure documentation practices and share findings only with authorized stakeholders.
Can you help if we're not sure what we need?
Absolutely. Many clients aren't certain whether they need vulnerability assessment vs. penetration testing, or which AI services fit their goals. We'll help you determine the right approach.
What happens after initial contact?
We'll schedule a discovery call to understand your needs, discuss potential solutions, and provide a proposal with scope, timeline, and pricing.
