The Robust Intelligence platform
Protect what you test. Automated model assessments and guardrails for safe and secure AI applications.
Get a DemoComprehensive security for your AI applications
The Robust Intelligence platform automates testing for security and safety vulnerabilities of AI models in development and their protection in production. The platform includes an engine for detecting and assessing model vulnerabilities as well as the necessary guardrails to deploy safely in production. This consists of two complementary components, which can be used independently but are best when paired together:
Protection against a
wide range of threats
Robust Intelligence protects AI applications against a host of security and safety threats. These can be the result of malicious actions, such as prompt injection and data poisoning, or unintentional outcomes generated by the model. There are four primary failure categories:
Abuse Failures
Toxicity, bias, hate speech, violence, sexual content, malicious use, malicious code generation, disinformation
Privacy Failures
PII leakage, data loss, model information leakage, privacy infringement
Integrity Failures
Factual inconsistency, hallucination, off-topic, off-policy
Availability Failures
Denial of service, increased computational cost
Learn more about individual AI risks, including how they map to standards from MITRE ATLAS and OWASP, in our AI security taxonomy.
Operationalize AI security standards across your organization
The Robust Intelligence platform is easily added into your existing workflows, automatically working in the background to protect your AI applications from development to production.
AI Validation
AI models, data, and files are automatically scanned and tested to assess security and safety vulnerabilities before usage and deployment.
SIMPLE TO USE
- AI Platform - automate model validation by integrating it into your CI/CD pipeline, connecting your preferred model registry with a simple API
- AI Teams - incorporate validation independently within your model development environment via our SDK
AI Protection
AI applications are secured by guardrails that are automatically configured to protect against the security and safety vulnerabilities detected in AI Validation.
SEAMLESS INTEGRATIONS
- AI Application - integrate AI Firewall guardrails into your application using a single line of code with a simple API
- Security Teams - use WAF / WAAS integrations that allow users to configure policies for AI Firewall and automatically block threats
Any Model
Any ML Platform
Any SIEM
Platform capabilities
It’s simple to get started with our API-based service. Just point at a model endpoint to initiate the assessment and generate specific guardrails custom-fit to your model.
Advanced detection and protection
Proprietary threat intelligence, algorithmic AI red teaming, and state-of-the art AI threat classification models power the Robust Intelligence vulnerability assessment engine that continuously improves our assessment and mitigation capabilities.
Broad coverage of attack techniques
Attack techniques detected include prompt injection, jailbreaking, role playing, Tree of Attacks with Pruning (TAP), Greedy Coordinate Gradient (GCG), instruction override, Base64 encoding attack, style injection, data poisoning, deserialization attacks, denial of service, and more. Our detections provide broad coverage against the latest attack methods and are regularly updated from threat intelligence.
Satisfy all major standards and regulations
Tests are mapped to industry and regulatory standards such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST Adversarial Machine Learning Taxonomy, EU AI Act, and the White House Executive Order on AI. This makes it easy to enforce your AI security policy and achieve compliance.
Integrate with security workflows
Integrations with observability and SIEM platforms such as Crowdstrike, Datadog, Splunk, and AppDynamics make it simple to share data with security and DevOps teams.
Enterprise-ready privacy and security
Enterprise features include SOC 2 compliance and security features such as data encryption at REST, TLS for communication, user authentication, role-based access control (RBAC), and secrets management. See our Trust Center to make passing InfoSec a breeze.
Seamless scalability
Seamless scalability to process production workloads on the order of billions of data points and hundreds of models. Secure your high-traffic AI applications without interruption.
Simple deployment.
Broad security coverage.
Robust Intelligence makes it easy to comply with AI security standards, including the OWASP Top 10 for LLM Applications.
Top 10 for LLM Applications| OWASP Top 10 for LLM Applications | ||||
|---|---|---|---|---|
| LLM 01: Prompt injection attacks | AI Validation Coverage | AI Protection Coverage |  | |
| LLM 02: Insecure output handling | AI Validation Coverage | AI Protection Coverage | Not applicable | |
| LLM 03: Data poisoning checks | AI Validation Coverage | AI Protection Coverage | | |
| LLM 04: Model denial of service | AI Validation Coverage | AI Protection Coverage | | |
| LLM 05: Supply chain vulnerabilities | AI Validation Coverage | AI Protection Coverage | | |
| LLM 06: Sensitive information disclosure | AI Validation Coverage | AI Protection Coverage | | |
| LLM 07: Insecure plug-in design | AI Validation Coverage | AI Protection Coverage | Not applicable | Not applicable |
| LLM 08: Excessive agency | AI Validation Coverage | AI Protection Coverage | Not applicable | |
| LLM 09: Overeliance | AI Validation Coverage | AI Firewall Coverage | | |
| LLM 10: Model theft | AI Validation Coverage | AI Firewall Coverage | Not applicable | |
Deployment options to fit your specifications
Robust Intelligence offers flexible hosting and tenancy options, support for both SDK and REST APIs, and enterprise-grade access control and security features.
SaaS
Product is deployed in our private AWS VPC
Zero infrastructure to manage
Rapid updates for accelerated feature delivery
Hybrid
Separation of concerns: SaaS control plane, self-hosted data plane
Keep your models and data within your network
Regional preference and colocation
Partnering for more Secure AI
Technology
Standards
Robust Intelligence is collaborating with the National Institute of Standards and Technology (NIST) in the Artificial Intelligence Safety Institute Consortium to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This will help ready the U.S. to address the capabilities of the next generation of AI models or systems, from frontier models to new applications and approaches, with appropriate risk management strategies. NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found here.
Services
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Robust Intelligence is collaborating with the National Institute of Standards and Technology (NIST) in the Artificial Intelligence Safety Institute Consortium to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This will help ready the U.S. to address the capabilities of the next generation of AI models or systems, from frontier models to new applications and approaches, with appropriate risk management strategies. NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found here.