Understanding the AI Red Teaming and Safety Audit Landscape
As AI systems move from research labs into production, the market for independent security testing and safety auditing has grown rapidly. The global AI red teaming services market reached $1.43 billion in 2024 and is projected to hit $18.6 billion by 2035, driven by regulatory requirements like the EU AI Act and frameworks such as NIST AI RMF and ISO 42001.
Two Categories of Providers
The market divides into two distinct segments:
- Platform-based providers
- Companies like HiddenLayer, Mindgard, and Lakera offer automated, continuous testing platforms that integrate into CI/CD pipelines. These scale well for organizations running many models in production.
- Service-led firms
- Firms like Trail of Bits, Bishop Fox, and NCC Group provide hands-on adversarial assessments conducted by experienced security researchers. These engagements are deeper but less frequent.
What These Firms Test
AI red teaming goes beyond traditional penetration testing. Core assessment areas include:
- Prompt injection and jailbreaking — testing whether LLMs can be manipulated into bypassing safety guardrails
- Data poisoning and model theft — evaluating supply chain risks in training pipelines
- Bias and fairness auditing — assessing model outputs for discriminatory patterns
- Adversarial robustness — measuring model performance under deliberately crafted inputs
- Compliance mapping — verifying alignment with EU AI Act risk categories and documentation requirements
Choosing the Right Partner
Key selection criteria depend on your deployment context. Organizations with dozens of production models benefit from automated platforms offering continuous monitoring. Those deploying a single high-risk system — medical diagnosis, credit scoring, autonomous vehicles — may need a deep, bespoke assessment from a research-oriented firm. Many enterprises combine both approaches: automated scanning for breadth, manual auditing for depth.