What is Robust Intelligence?
Robust Intelligence is a platform designed to offer security and validation to AI models and data. This tool stands as an end-to-end solution to prevent potential adverse outcomes that can result from machine learning model failures. The platform provides real-time protection of machine learning models, notably against security threats, operational threats and ethical threats. Additionally, it offers an AI Firewall that secures production models against attacks and undesirable responses by validating inputs and outputs in real time. Another significant offering by Robust Intelligence is the Continuous Validation feature that ensures AI models and data are validated throughout the AI lifecycle. This is achieved by surfacing weaknesses via automated red teaming, while also establishing a standardized audit record for their health, and tracking adherence to standards and regulatory compliance. Furthermore, the platform supports Generative AI and other major modalities, while effectively managing AI risk in compliance with significant AI regulations, guidelines, and frameworks.
Pros
- Real-time protection of models
- Continuous Validation feature
- Automated red teaming
- Ethical threat management
- Operational threat protection
- Standards and regulatory compliance
- Validates model behavior
- Exposes hidden vulnerabilities
- Supports all major modalities
- Audit record for health
- Secures against attacks
- Offers undesirable response protection
- Tracks adherence to standards
- Saves time-to-market for production
- Saves on validation efforts
- Performs hundreds of tests
Cons
- No API documentation
- Limited modality support
- Potential latency in validation
- Over-reliance on red teaming
- No free trial
- Limited risk types
- Lack of customization options
- No multi-language support
- Lacks user-friendly interface
Robust Intelligence FAQ
What is Robust Intelligence?
Robust Intelligence is a platform specifically designed to offer security and validation for AI models and data. It serves as a comprehensive solution to prevent potential adverse outcomes resulting from machine learning model failures. The platform provides real-time protection against security threats, operational threats, and ethical threats that AI models might face.
How does Robust Intelligence provide security to AI models and data?
Robust Intelligence secures AI models and data by offering real-time protection against potential threats. It provides an AI Firewall which secures production models against attacks and undesirable responses by validating inputs and outputs in real time. Its Continuous Validation feature ensures AI models and data are validated throughout their lifecycle, exposing weaknesses via automated red teaming and establishing a standardized audit record for their health.
What is the purpose of the AI Firewall feature in Robust Intelligence?
The purpose of the AI Firewall feature in Robust Intelligence is to secure production models from operational and ethical threats, undesirable responses, and security attacks. This is achieved by validating inputs and outputs in real time.
How does Robust Intelligence's AI Firewall work?
The AI Firewall by Robust Intelligence works by protecting production models against threats in real time. It does this by validating both inputs and outputs. This feature ensures that any potentially harmful inputs are detected and neutralized before they can affect the AI model's operation, and any undesirable responses are prevented from being output.
What is the Continuous Validation feature offered by Robust Intelligence?
The Continuous Validation feature offered by Robust Intelligence ensures that AI models and data are validated regularly throughout the AI lifecycle. It focuses on exposing weaknesses via automated red teaming while also tracking adherence to standards and regulatory compliance. It also establishes a standardized audit record for the AI models' health.
What exactly is automated red teaming in the context of Robust Intelligence?
In the context of Robust Intelligence, automated red teaming is a technique used to surface weaknesses in AI models and data. It involves orchestrating simulated attacks on the models to identify vulnerabilities, thereby enhancing the overall robustness and reliability of the AI systems.
How does Robust Intelligence ensure standardized audit records for AI models' health?
Robust Intelligence ensures standardized audit records for AI models' health through its Continuous Validation feature. By running automated red teaming and regular checks, it tracks model performances and any deviation from the established standard or expected behavior, maintaining a detailed record of such information.
How can Robust Intelligence help with adhering to AI standards and regulatory compliance?
Robust Intelligence aids in adhering to AI standards and regulatory compliance by continually validating AI models and data throughout their lifecycle. It helps establish a standardized audit record and track the models' adherence to standards and regulatory requirements.
