Overview

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.

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Initial release

September 16, 2023

Initial release of Robust Intelligence.

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Pros and Cons

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

View 11 more pros

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

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Q&A

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.

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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.

Which AI models or modalities are supported by Robust Intelligence?

Robust Intelligence supports various AI models or modalities, including Generative AI and other major types. Irrespective of the model type, the platform ensures the secure and accurate operation of these modalities by providing real-time protection and continuous validation.

Does Robust Intelligence offer real-time protection of machine learning models?

Yes, Robust Intelligence provides real-time protection of machine learning models. It implements measures to guard against security threats, operational threats and ethical threats, preventing adverse outcomes that could stem from model failures.

How is AI risk managed by Robust Intelligence?

AI risk is managed by Robust Intelligence by implementing real-time protection of models, validating inputs and outputs in real time and ensuring the models and data are validated consistently across their lifecycle. The platform utilizes automated red teaming to unearth any weaknesses and tracks adherence to standards and regulations.

How does Robust Intelligence surface weaknesses in AI models and data?

Robust Intelligence surfaces weaknesses in AI models and data through its Continuous Validation feature. This process includes the use of automated red teaming, which simulates attacks on models to unearth vulnerabilities, thus improving the robustness of the AI systems.

How does Robust Intelligence validate inputs and outputs in real time?

Robust Intelligence validates inputs and outputs in real time through its AI Firewall feature. This function scrutinizes the inputs and outputs for any attacks, threats or undesirable responses to ensure the security and smooth operation of production models.

How does Robust Intelligence support Generative AI?

Robust Intelligence supports Generative AI by providing real-time protection and continuous validation of models. This includes validating inputs and outputs in real time to safeguard against undesired responses and using automated red teaming to identify potential weaknesses.

Can Robust Intelligence prevent operational threats to machine learning models?

Yes, Robust Intelligence can prevent operational threats to machine learning models. By providing real-time protection and continuous validation, it defends models against any operational pitfalls that may arise due to internal or external factors.

Can Robust Intelligence prevent security threats to machine learning models?

Yes, Robust Intelligence can prevent security threats to machine learning models. Its AI Firewall feature validates inputs and outputs in real time, providing real-time protection against common and sophisticated attacks that may pose threats to AI models.

Can Robust Intelligence prevent ethical threats to machine learning models?

Yes, Robust Intelligence can prevent ethical threats to machine learning models. Its platform provides real-time protection against ethical risks that may disrupt the operation of AI models, by continuously validating models and data throughout their lifecycle.

Which industries can Robust Intelligence serve?

Robust Intelligence serves a wide range of industries including Technology, Financial Services, Insurance, Government & Defense, and HR Management. This is achieved by offering specialized solutions that cater to the specific needs of these industries pertaining to AI risks.

How does Robust Intelligence ensure operational resilience?

Robust Intelligence ensures operational resilience by providing real-time protection and continuous validation of AI models. By constantly monitoring model performance and behavior, it identifies and mitigates potential threats before they can lead to operational disruptions.

Can Robust Intelligence help secure models against attacks?

Yes, Robust Intelligence secures models against attacks. It's AI Firewall feature defends production models by validating inputs and outputs in real-time, mitigating risks before they can cause harm.

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