Robust Intelligence, now part of Cisco following its acquisition in 2024, is an AI security and validation platform that helps organizations protect their AI applications from adversarial attacks, data integrity issues, and model failures. Founded in 2019 by Yaron Singer, a professor of computer science at Harvard University, and Kojin Oshiba, and originally headquartered in San Francisco, California, the company developed technology to systematically test and secure AI models throughout their lifecycle. The platform's core product is the AI Firewall, which provides real-time protection for AI models in production by detecting and blocking adversarial inputs, prompt injections, data poisoning, and other attacks designed to manipulate model behavior. The AI Firewall inspects inputs to and outputs from AI models, applying validation rules and adversarial detection algorithms to prevent harmful or manipulated data from affecting model predictions. Robust Intelligence also provides automated AI testing through its Stress Testing product, which runs hundreds of configurable tests across categories including adversarial robustness, data integrity, bias and fairness, and model performance degradation. These tests can be integrated into CI/CD pipelines to validate models before deployment, acting as a quality gate for AI systems. The platform supports both traditional machine learning models and large language models, with specific capabilities for testing LLM applications including prompt injection detection, hallucination testing, and output safety validation. As part of Cisco's security portfolio, Robust Intelligence's technology is being integrated into Cisco's broader AI security and networking offerings. The platform is delivered as a SaaS solution and also supports on-premises deployment for organizations with strict data residency requirements. Pricing is enterprise-focused with custom contracts.
robustintelligence.com →