Businesses are rapidly innovating with AI applications to drive differentiation. However, this surge of AI apps in the enterprise introduces new security, safety, and governance challenges.
In this report, Forrester examines how AI Red Teaming blends traditional offensive security practices with new testing approaches to help organizations:
- Assess the full AI application stack, including infrastructure, APIs, integrations and AI workflows.
- Replace human-led testing with continuous, automated and agentic red teaming approaches.
- Evaluate AI-specific risks such as bias, toxicity, safety failures, and unintended behavior
- Tailor AI red team engagement based on use cases, deployment context and regulatory pressure.
- Remediate security vulnerabilities with AI guardrails and system prompt hardening.
The report also highlights emerging techniques used by providers such as SPLX (now part of Zscaler) to move beyond prompt-only testing and uncover deeper, systemic AI risks.
