How we are different

We are the only company providing comprehensive AI model assessments, using algorithmic testing to automatically evaluate models against 150 categories of AI security and safety risks. This includes prompt Injection attack techniques, data privacy failures, information security failures, safety failures, and availability failures. Tests are mapped to industry and regulatory standards such as OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST Adversarial Machine Learning Taxonomy. This makes it easy for companies to enforce AI security policy and achieve compliance. We’re able to recommend the guardrails that compensate for each model’s vulnerabilities, and protect the AI application in production.

Our AI Firewall offering provides the best threat protection of any guardrail offering. This is due to our proprietary algorithmic red teaming (eg. jailbreaking GPT-4 and other sophisticated LLMs covered by WIRED last December), a threat intelligence pipeline to gather threats and zero-day attacks in real time, and an ever-growing taxonomy to classify threats. These feed our model engine and allow us to protect against evolving threats. AI Firewall can also be automatically customized to the to the model and application use case.

Robust Intelligence is helping to define and shape AI security standards, providing the security community with a common footing in a field that's moving very quickly. We’ve co-developed the AI Risk Database with MITRE to evaluate supply chain risk, co-authored the NIST Adversarial Machine Learning Taxonomy, and contributed to the OWASP Top 10 for LLM Applications. We were also selected to the NIST US AI Safety Institute Consortium as an inaugural member.