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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Robust Intelligence the way a machine reads it — 21 machine-readable artifacts across 3 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Robust Intelligence scores 18.4/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Robust Intelligence
Each block below is one kind of artifact we hold for Robust Intelligence. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 3
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Robust Intelligence Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 5
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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 — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 4
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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 tell you where this provider already fits in a stack.
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
Every other property we hold for Robust Intelligence — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Company 3
The organization behind the API
Other 4
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/robust-intelligence · machine-readable index on apis.io