Fiddler AI vs Robust Intelligence
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/fiddler-ai-vs-robust-intelligenceFiddler AI
AI observability and security for agentic and generative systems.
Fiddler AI is an AI observability and security platform founded in 2018 and headquartered in Palo Alto, California, by Krishna Gade, Amit Paka, and Manoj Cheenath. Fiddler focuses on production monitoring — drift, performance, fairness, explainability — and has extended into LLM observability and security for compound and agentic AI systems. Fiddler raised a $30M Series C in January 2026, bringing total funding to $100M.
Robust Intelligence
Robust Intelligence was a San Francisco-based AI security company co-founded in 2019 by Harvard computer science professor Yaron Singer and Kojin Oshiba. The company pioneered the concept of an 'AI Firewall' — a purpose-built platform that validates, stress-tests, and protects AI models from development through production. Key capabilities included algorithmic red teaming, automated model assessment, and proactive AI risk mitigation aligned to OWASP and MITRE ATLAS standards. Robust Intelligence was acquired by Cisco in October 2024 for a reported $400M and has been foundational to the development of Cisco AI Defense and Cisco Foundation AI. Its technology is now integrated into the Cisco Security Cloud, providing threat protection against prompt injection, data poisoning, jailbreaking, and unintentional model outcomes. The company raised $44M prior to acquisition across three rounds.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: NIST AI RMF
- Only Fiddler AI covers: Colorado AI Act, EU AI Act, GDPR Art. 22, ISO/IEC 42001, NYC LL 144
- Shared capabilities: 8 of 10 listed.
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At a glance
| Attribute | Fiddler AI | Robust Intelligence |
|---|---|---|
| Founded | 2018 | 2019 |
| Headquarters | Palo Alto, United States | San Francisco, United States |
| Employees | 51-200 | 11-50 |
| Funding | $100M total (Series C, January 2026) | Pre-acquisition total: $44M raised ($3M seed Mar 2019 led by Engineering Capital/Sequoia, $11-14M Series A 2020 led by Sequoia Capital, $30M Series B Dec 2021 led by Tiger Global). Acquired by Cisco, completed October 2024 (reported ~$400M). |
| Pricing | Contact for pricing | Now integrated into Cisco AI Defense / Cisco Security Cloud. Standalone Robust Intelligence is no longer sold independently. Pricing through Cisco. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Fiddler AI | Robust Intelligence |
|---|---|---|
| Colorado AI Act | Partial | — |
| EU AI Act | Partial | — |
| GDPR Art. 22 | Partial | — |
| ISO/IEC 42001 | Partial | — |
| NIST AI RMF | Partial | Full |
| NYC LL 144 | Partial | — |
Capabilities
| Capability | Fiddler AI | Robust Intelligence |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | ✓ |
| Explainability | ✓ | — |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | ✓ | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Risk Assessment Workflow | ✓ | ✓ |
| Third-Party AI Vendor Risk | — | ✓ |
Industries served
Fiddler AI
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- Retail & E-commerce
- SaaS & Technology
- Defense & National Security
Robust Intelligence
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- SaaS & Technology
- Defense & National Security
Integrations
Fiddler AI
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Weights & Biases
- Okta
- OpenAI API
- Anthropic API
Robust Intelligence
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- GitHub
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.