Arthur vs Robust Intelligence

Arthur provides an AI Delivery Engine that enables teams to launch, secure, and optimize AI applications across the full lifecycle, from pre-production evaluations to runtime guardrails and production monitoring. The platform supports traditional machine learning, generative AI, and agentic AI with metrics for data drift, accuracy, hallucinations, toxicity, PII detection, and custom evals, while keeping sensitive data local via a federated data-control plane architecture. It targets enterprise AI teams in regulated sectors like banking, healthcare, and insurance, offering deployment flexibility (SaaS, on-prem, AWS, GCP) and integrations like webhooks to Slack/Jira. Distinct from peers, Arthur emphasizes agent discovery & governance and open-source Evals Engine components for real-time performance insights.Arthur homepage, Arthur platform, pricing, PR Newswire Series B, ZoomInfo, LinkedIn

Robust Intelligence was an AI security company founded in 2019 by Yaron Singer, a Harvard computer science and applied mathematics professor who became its CEO, and Kojin Oshiba, his former student. It was based in San Francisco and also had operations in Israel. Sequoia Capital led its seed and Series A rounds ($14 million combined, announced in October 2020), and Tiger Global and Sequoia led a $30 million Series B in December 2021, bringing its funding to about $44 million. Cisco Investments was also an investor. Cisco announced its intent to acquire Robust Intelligence on August 26, 2024 and completed the deal on September 24, 2024. The price was not disclosed. Robust Intelligence is no longer a separate product: its technology is the core of Cisco AI Defense, which Cisco unveiled on January 15, 2025 and said would be available that March. Buyers should evaluate Cisco AI Defense. **What it sold** Robust Intelligence started with RIME (the Robust Intelligence Model Engine), built around an "AI Firewall" that wraps a model, checks its inputs and outputs, and stress-tests it. Its later platform had two parts. AI Validation automatically tested models for security and safety vulnerabilities (such as prompt injection and data poisoning) before and after deployment, scanned open-source models, data and files for supply chain vulnerabilities such as malicious pickle files, recommended guardrails and produced reports. AI Protection applied those guardrails in production. It ran as SaaS in Robust Intelligence's private AWS VPC or as a hybrid deployment with a self-hosted data plane, and it integrated with observability and SIEM tools such as Splunk, Datadog, CrowdStrike and AppDynamics. The company also co-developed the AI Risk Database and said it co-authored NIST's adversarial machine learning taxonomy and contributed to the OWASP Top 10 for LLM Applications. **Frameworks** Its product page says tests were mapped to the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST's adversarial machine learning taxonomy, the EU AI Act and the White House executive order on AI. It does not mention the NIST AI RMF or ISO 42001. Cisco AI Defense maps to the NIST AI RMF, MITRE ATLAS and the OWASP Top 10 for LLMs. **Status** The robustintelligence.com site is still online and describes AI Validation and AI Protection without mentioning Cisco. We found no current way to buy Robust Intelligence separately from Cisco.