Company Overview
Pioneered AI security with AI Firewall and validation. Acquired by Cisco (~$400M, Oct 2024), powering Cisco AI Defense.
Based in Silicon Valley (San Francisco, CA), Robust Intelligence offers its AI Firewall as a solution for organizations navigating the complexities of protecting machine learning models from adversarial threats and supply chain compromise. The platform is positioned within the broader AI Model Security category, where AI Security Intelligence tracks 9 companies building specialized capabilities.
Founded in 2019, Robust Intelligence brings several years of market experience to its current AI security positioning, having evolved its platform through multiple technology cycles.
Why Watch This Company
Model security is the cybersecurity category that most closely mirrors the evolution of software supply chain security a decade ago — and Robust Intelligence is addressing this parallel head-on. Their approach to protecting machine learning models from adversarial threats and supply chain compromise tackles a threat surface that will only expand as organizations deploy more models in more critical workflows.
Key Facts
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Headquarters
San Francisco, CA
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Category
AI Model Security
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Key Product
AI Firewall
Primary Product
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AI Firewall
Pioneered AI security with AI Firewall and validation. Acquired by Cisco (~$400M, Oct 2024), powering Cisco AI Defense.
AI Model Security Landscape
AI Model Security →
AI Model Security protects machine learning models from adversarial manipulation, supply chain compromise, intellectual property theft, and integrity attacks throughout their lifecycle. As models become core enterprise assets — trained on proprietary data and deployed in critical decision paths — they represent high-value targets for adversaries seeking to poison training data, inject backdoors, steal model weights, or manipulate inference outputs.
9 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any AI Model Security vendor — including Robust Intelligence:
Can the platform scan ML models for vulnerabilities, backdoors, and malicious payloads before deployment?
Does the solution verify model provenance and integrity throughout the ML supply chain?
How does the vendor protect against adversarial attacks — both at training time (data poisoning) and inference time (evasion attacks)?
Does the platform support the full range of model architectures, including LLMs, vision models, and multi-modal systems?
Featured Profiles in AI Model Security
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🔗 Supply Chain & Integration Mapping
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Category Peers — AI Model Security
8 other companies in this category