Red Teaming in the Age of AI
AI is already in production across your organization. It's shaping decisions, automating workflows, and interacting with users at scale. But most security teams still aren't equipped to test how these systems actually fail.
This whitepaper explores how AI red teaming is evolving, and how OffSec's OSAI training helps teams build the skills needed to validate AI systems, uncover real-world failure modes, and develop a repeatable approach to securing this new attack surface.
Executive summary
AI introduces a fundamentally different attack surface. Its behavior is influenced by prompts, data, integrations, and user interaction, which makes it harder to test using traditional approaches.
As teams work to build this capability, training becomes a critical enabler. OffSec's OSAI course is designed to support this shift by providing hands-on, adversarial experience with AI systems, allowing practitioners to move from theory to applied testing.
Build a clear, actionable approach to testing AI systems in production
- A clear breakdown of how AI expands the enterprise attack surface
- Insight into where AI systems are most vulnerable across prompts, data, and integrations
- A practical way to prioritize which AI systems to test first
- A definition of what AI red team capability looks like in practice
- A hands-on pathway to building AI red teaming skills through OffSec's OSAI course
See where AI systems actually break
Understand how AI systems fail under real-world conditions, from prompt manipulation to unintended outputs that traditional testing often misses.
Test AI systems with a structured approach
Move from ad hoc experimentation to a consistent methodology that improves coverage and reduces blind spots.
Build capability that scales with AI adoption
Develop a repeatable program that keeps pace with evolving models, new deployments, and increasing reliance on AI systems.
Flexible pricing for teams of any size
Scalable options to fit your team's training needs