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AI red teaming
We take an attacker’s goal and pursue it through your AI-enabled workflows and agents, so you learn how they fail before someone else shows you.
Fortify Experts AI red teaming runs goal-based adversarial exercises against AI-enabled workflows, agents and the systems connected to them, mapped to MITRE ATLAS, with an executive debrief and prioritized fixes.
How an exercise runs
- Objectives and rules of engagement. What the attacker wants, what’s in scope and what’s off limits.
- Reconnaissance. How your AI systems, data sources and integrations fit together.
- Attack. Attempts to reach the objective through AI behavior, connected tools and people.
- Debrief. What worked, why, and the fixes that matter most.
Questions we hear
How is AI red teaming different from LLM application testing?
Application testing checks a defined system for known weakness classes. Red teaming takes an attacker’s goal, such as getting customer data out, and pursues it across AI workflows, people and connected systems.
Find out where you stand in one hour
Book a free security strategy consultation. You’ll talk with a senior advisor, not a salesperson, and leave knowing which next step fits.