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Robust Intelligence

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Robust Intelligence, now a Cisco company, is an end-to-end AI risk management platform. It secures AI models throughout their lifecycle with a real-time AI Firewall and automated testing, helping enterprises mitigate security, ethical, and operational risks to deploy AI safely and responsibly.

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Added on: 2025-08-11
Price Type Is Paid
Monthly Traffic: 1.8K

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Robust Intelligence Overview

Robust Intelligence, now a part of Cisco, provides a comprehensive AI risk management platform designed to secure the entire AI transformation journey for enterprises. In an era where AI models are integral to business operations, they also introduce significant risks, including vulnerabilities to attacks, data leakage, undesirable outputs, and performance degradation. Robust Intelligence addresses these challenges head-on with a unified solution that automates the validation, protection, and governance of all AI models, from traditional machine learning to the latest generative AI and Large Language Models (LLMs).

The platform is built on the principle of proactive risk mitigation, enabling organizations to identify and fix flaws before they impact production. By treating models as 'black boxes,' it offers universal compatibility across any model architecture (Tabular, NLP, Computer Vision, etc.) and integrates seamlessly into existing MLOps workflows. This approach empowers data science and security teams to collaborate effectively, ensuring that AI systems are not only powerful but also robust, compliant, and trustworthy.

How to use Robust Intelligence

The platform is designed for seamless integration and operation within an enterprise's existing AI ecosystem. The typical workflow is as follows:

  1. Connect & Integrate: Easily connect your data sources and models to the Robust Intelligence platform. Using a powerful Python SDK and REST API, you can integrate the tool directly into your CI/CD and MLOps pipelines, such as Databricks, AWS Sagemaker, and other cloud environments.
  2. AI Testing (Pre-Deployment): Before deploying a model, subject it to rigorous, automated testing. The platform runs hundreds of stress tests and performs algorithmic red-teaming to uncover hidden vulnerabilities, biases, and edge-case failures. This process automatically generates standardized model cards and audit records, simplifying governance and compliance documentation.
  3. AI Firewall (Real-Time Protection): Deploy your models with the AI Firewall, a real-time protection layer. This API-based service inspects every input and output in production. It actively blocks threats like malicious prompt injections (jailbreaking), PII and sensitive data leakage, harmful or toxic content, and operational failures, ensuring model responses are always safe and appropriate.
  4. Monitor, Govern & Remediate: Continuously monitor all deployed models through a centralized governance dashboard. Receive real-time alerts on newly detected risks or performance degradation. The platform provides actionable insights to help teams quickly remediate issues and maintain compliance with evolving AI regulations and internal policies.

Core Features of Robust Intelligence

  • AI Firewall: Provides real-time, in-line protection for models in production by validating inputs and outputs to prevent malicious attacks, data leakage, and undesirable responses.
  • AI Testing: An automated validation suite that uses algorithmic red-teaming and hundreds of pre-built tests to proactively identify vulnerabilities, biases, and performance issues across the entire model lifecycle.
  • Algorithmic Red-Teaming: Utilizes advanced techniques, such as the proprietary TAP (Tree of Attacks with Pruning) method, to automatically discover and exploit complex vulnerabilities in LLMs and other models, far exceeding the capabilities of manual testing.
  • Comprehensive Model & Modality Support: Natively supports all major model types, including Generative AI, LLMs, Tabular, Natural Language Processing (NLP), and Computer Vision models, treating them as black boxes for maximum compatibility.
  • Governance & Compliance Automation: Features a central dashboard to monitor all AI models, automatically generating model cards and compliance reports that map to major AI regulations and frameworks (e.g., EU AI Act, NIST AI RMF).
  • Seamless MLOps Integration: Offers powerful REST API and Python SDK for easy integration with existing platforms like Databricks, MongoDB Atlas, Datadog, and cloud data storage, automating risk management within your workflow.

Use Cases for Robust Intelligence

Robust Intelligence is trusted by leading companies across various industries to secure their AI applications:

  • Financial Services: Banks and insurance companies like Seven Bank and Tokyo Marine use the platform to secure AI in critical functions such as claims processing, fraud detection, customer support chatbots, and risk assessment, ensuring model accuracy and compliance with financial regulations.
  • Technology and Telecommunications: Companies like NEC and LINE Yahoo leverage the platform to evaluate the performance and safety of their proprietary LLMs, ensuring they are secure and reliable for enterprise deployment and customer-facing applications.
  • Healthcare: Protecting sensitive patient data (PHI) in AI-driven diagnostic tools and ensuring that medical recommendation models are fair, accurate, and free from harmful biases.
  • E-commerce & Retail: Securing recommendation engines and generative AI-powered customer service bots from data poisoning, malicious inputs, and the leakage of customer PII.

Advantages of Robust Intelligence

The platform offers distinct advantages for enterprises scaling their AI initiatives:

  • End-to-End Risk Coverage: Provides a holistic solution that covers the entire AI lifecycle, from development and testing to production monitoring and governance.
  • Proactive and Automated Security: Shifts AI security from a reactive to a proactive stance by automatically identifying and flagging risks before they can be exploited in production.
  • Scalability: Designed to seamlessly scale across hundreds or even thousands of models and high-volume data pipelines, making it suitable for large-scale enterprise AI deployments.
  • Founded on Cutting-Edge Research: Developed by leading researchers from Harvard University, the platform is built on a deep understanding of adversarial machine learning and AI vulnerabilities.
  • Enterprise-Ready: As a Cisco company, Robust Intelligence combines startup agility with enterprise-grade security, support, and reliability, trusted by global leaders.

Pricing and Plans

Robust Intelligence is an enterprise-grade platform with pricing tailored to the specific needs of an organization, such as the number of models and usage volume. Pricing information is not publicly listed. Interested parties are encouraged to contact the sales team or request a free demo through their official website to receive a custom quote and detailed solution overview.

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Robust IntelligenceWebsite Traffic Analysis

Latest Traffic

Monthly Visits 1.8K
Average Visit Duration 1:12
Pages per Visit 2.52
Bounce Rate 40.1%

Status

Up +37.6% vs Last Month
Data updated on 2026-05-25

Monthly Traffic Trend

Geography

Top 5 Countries/Regions

  • 🇺🇸 United States
    50.30%
  • 🇮🇳 India
    49.70%

Popular Keywords

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