AI Red Teaming
Our Services
We don't just test prompts. We simulate adversaries.

Full-spectrum offensive security for LLMs and AI systems, from jailbreaks and RAG abuse to adversary emulation mapped to MITRE ATLAS.
WHAT IT IS

A complete adversarial assessment of your AI deployment. As organizations adopt LLMs and AI-driven workflows, attackers follow. We go beyond model-level testing to attack every layer where data flows, users interact, and outputs are consumed before your adversaries do.
HOW WE DO IT

We cover the layers that matter :
AI red teaming

Jailbreaks, prompt injection, instruction manipulation, alignment bypass, model extraction, training data inference, and RAG pipeline abuse.

Environment & app layer

Web interfaces, chatbots, orchestration layers, API endpoints, injection attacks, access control flaws, and misconfigured cloud-native backends.

AI supply chain risk

Compromise targeting model artifacts, APIs, third-party dependencies, and data pipelines feeding your AI systems.

Adversary emulation

Full-scale attack chains mapped to MITRE ATLAS tactics and techniques, multi-step simulations reflecting real-world AI threat actors.

OUR APPROACH

Tailored to your environment. We combine offensive security expertise, AI research, and adversary simulation into one unified methodology, mapped to OWASP LLM Top 10 and MITRE ATLAS. Our proprietary AI Red Teaming Framework is battle-tested for executing full adversarial attack chains across models and environments. Our AI assistant, NOVA, automates findings mapping in every report.
WHAT YOU GET

Executive report with risk-prioritized findings
Step-by-step remediation plan with effort estimates
Reproducible technical evidence for your AI and engineering teams
Presentation session for leadership and technical team
FOLLOW-UP

At 30 and 90 days we review critical findings to confirm closure and ensure your security posture holds, we don't disappear after delivering the report.

Book a call
Response in under 24h · No commitment