Robust Intelligence
Robust Intelligence is an AI security company founded in 2019 to defend ML and GenAI systems against adversarial attacks, data poisoning, prompt injection, and unsafe outputs. Its platform combined automated red teaming (Algorithmic AI Red Teaming) with runtime protection (AI Firewall) for LLM and traditional ML applications. Cisco announced the acquisition of Robust Intelligence in August 2024 and the technology now powers the Cisco AI Defense product line, with Robust Intelligence's capabilities integrated into Cisco's broader security portfolio.
Robust Intelligence is listed with 3 APIs on the APIs.io network. Tagged areas include AI Security, Runtime Protection, Algorithmic Red Teaming, LLM Security, and Cisco.
Robust Intelligence’s developer surface includes engineering blog and 10 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| Cisco DevNet Ecosystem (builders on Meraki, Catalyst, ISE, ThousandEyes, Splunk) | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
Cisco AI Defense
Cisco AI Defense is the post-acquisition home of Robust Intelligence's AI security technology. It provides runtime protection for AI applications, model validation, algorithmic ...
AI Firewall (Legacy)
The Robust Intelligence AI Firewall provided runtime guardrails for LLM and ML applications, screening prompts and responses for prompt injection, PII, toxicity, hallucination, ...
Algorithmic AI Red Teaming (Legacy)
Algorithmic AI Red Teaming was Robust Intelligence's automated adversarial testing product for ML and LLM models, generating attacks across data, model, and prompt layers and pr...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Robust Intelligence Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Features 5
Notable capabilities this provider offers.
AI Firewall
Runtime guardrails screening LLM prompts and responses for prompt injection, PII, toxicity, and policy violations.
Algorithmic Red Teaming
Automated adversarial testing of ML and LLM models across data, model, and prompt attack surfaces.
Model Validation
Pre-production validation of ML and LLM models against safety, security, and quality criteria.
Shadow AI Discovery
Visibility into AI applications, models, and providers in use across the enterprise.
Cisco Security Cloud Integration
Native integration with Cisco's broader security portfolio post-acquisition.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 4
What developers build with this provider.
Enterprise AI Security
Protect production LLM and ML applications against adversarial attacks and unsafe outputs.
AI Governance
Inventory and govern AI usage across the enterprise to meet emerging regulatory requirements.
Pre-production Red Teaming
Run automated adversarial assessments against AI models before deployment.
Runtime Guardrails
Enforce policies on prompts and responses in production GenAI applications.
Integrations 5
Pre-built integrations with other platforms and tools.
Cisco Security Cloud
Native integration with Cisco's broader security platform.
OpenAI
Guardrails and red teaming for OpenAI-based applications.
Anthropic
Protection for Anthropic Claude-based applications.
Hugging Face
Validation and red teaming of Hugging Face hosted models.
SageMaker
Integration with AWS SageMaker for model validation workflows.
Resources
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 4
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.