How is this different from standard "AI red teaming"?
Standard AI red teaming often narrowly focuses on provoking undesirable outputs from the model itself. Arcanum takes a holistic, ecosystem-wide approach, scrutinizing every layer of your AI-enabled applications, from user inputs and data pipelines to the surrounding infrastructure and downstream business workflows. We replicate the full attack kill-chain rather than running basic jailbreak exercises.
What does the seven-pillar methodology cover?
- System Input Identification
- Ecosystem Attack Simulation
- Model Security Assessment
- Prompt Engineering Exploitation
- Data Security and Integrity Analysis
- Application Security Testing
- Pivoting & Lateral Movement
What is the Arcanum Prompt Injection Taxonomy?
Our proprietary taxonomy was developed from analyzing hundreds of papers, lectures, and case studies across the security, academic AI, and AI jailbreaking scenes. It covers over 60 distinct Evasion Techniques and Classifier Bypass patterns, including Variable Expansion Smuggling, Invisible Unicode Manipulation, Chained Agents Exploitation, Link Smuggling, and JavaScript "Time-Bomb" payloads.
Which emerging AI architectures do you test?
- Model Context Protocol (MCP) integrations
- Agent-to-Agent (A2A) interactions & Multi-Agent Frameworks
- Multi-modal AI systems (text, vision, audio)
- Retrieval-Augmented Generation (RAG) pipelines
- Fine-tuned and custom-trained models
- Autonomous systems
Where is testing performed?
All testing is performed against live staging or production-equivalent environments mirroring real user data flows, so findings reflect how attackers would actually reach and exploit your systems.
