Robust Intelligence

Robust Intelligence, Inc. (acquired by Cisco, October 2024)

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Last verified April 22, 2026

About 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.

Framework coverage

Coverage claims documented by Robust Intelligence on their own materials. Chip shading reflects the strength of the claim, not an independent audit.

Capabilities

Features Robust Intelligence markets publicly. Inclusion means the capability is documented — not that it's best-in-class.

AI Model Inventory

Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.

Policy Management

Authoring, versioning, and distribution of AI usage policies mapped to regulations.

Risk Assessment Workflow

Guided workflows for completing AI impact assessments, risk scoring, and approval routing.

Bias & Fairness Testing

Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.

Model Monitoring

Production monitoring for performance, drift, data quality, and fairness regressions.

LLM Red Teaming

Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.

LLM Guardrails & Content Filtering

Runtime guardrails that block or redact unsafe prompts and responses in production LLM applications.

Audit Evidence Collection

Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.

Third-Party AI Vendor Risk

Intake and assessment of AI features in third-party SaaS used by the organization.

Integrations

Documented by Robust Intelligence in public product materials.

  • AWS SageMaker
  • Azure ML
  • Google Vertex AI
  • Databricks
  • Snowflake
  • MLflow
  • GitHub
  • OpenAI API

Pricing

Now integrated into Cisco AI Defense / Cisco Security Cloud. Standalone Robust Intelligence is no longer sold independently. Pricing through Cisco.

Pros and cons

Pros

  • Cisco backing provides enterprise procurement and support reach
  • Deep AI security/red-teaming heritage
  • Strong at adversarial robustness testing

Cons

  • Roadmap is now influenced by Cisco Security portfolio priorities
  • Not purpose-built for governance/GRC workflows

Alternatives to Robust Intelligence

Frequently asked

Is Robust Intelligence still an independent product?+

The product is being integrated into the Cisco Security portfolio. It remains available, but procurement and support now run through Cisco enterprise channels.

Sources

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