Trust is the foundation of digital systems. Without trust, AI cannot deliver on its potential value. However, most machine learning models often function in oblique, invisible black-boxes. This has resulted in significant algorithm-related business risks that is slowing down Enterprise AI adoption.
AI Explainability Risk
Enable humans to interpret and understand machine generated predictions
AI Bias & Fairness Risk
Uncover implicit and explicit bias in the underlying data, algorithms and processes
AI Robustness Risk
Detect adversarial attacks that disrupt or alter long term model performance
AI Data Risk
Uncover data concept, model and accuracy drifts, ensure data quality and fit
AI Non-Compliance Risk
Align AI to be compliant with current and emerging local and global regulations
Cortex Certifai helps businesses automate the management of AI Business Risk by answering pressing questions, such as:
- How did the AI and model predict what it predicted?
- Has the model been unfair to a particular group?
- Is the model compliant with industry regulations?
- How easily can the model be fooled?
To trust a digital system, we must have confidence in its decisions. However, AI systems learn and evolve over time, and contain many hidden decision processing layers, making auditability and explainability challenging.
Explainability, fairness, robustness, and compliance are the anchors of trustworthy AI. Leaders will soon be required to explain how their automated decision making systems are making inferences and decisions or risk diminished public trust, revenue losses, and regulatory backlash and fines.
Cortex Certifai – Now in Trial
Automates model data and risk management to remove Trust as a barrier to AI
Automates data, model vulnerability and risk
Certifai takes the guesswork out of understanding risk and vulnerability in ML models, by automatically probing into the model and testing edge cases. Unique technology means you do not have have access to the internals.
Generates Unique AI Trust Index
Certifai generates a numeric score based on 6 key elements of trust: fairness/bias, robustness, explainability, accuracy, compliance, and auditability. Like a FICO credit score, the AI Trust Index enables you compare your model externally (to the industry) and internally for measurement and go-live criteria.
Specific reporting for all key stakeholders
Certifai helps you engage key stakeholders in building trusted AI with unique reporting for
- AI, Data Teams and IT Experts
- Product and Marketing Executives
- Customers and Employees
- Compliance and Risk Executives
Trust as a Service For Any Cloud Provider
Enterprises using the Red Hat OpenShift stack of AI Services, trust Certifai to automate algorithmic and data vulnerability and risk management
Enterprises using the Amazon stack of AI Services, trust Certifai to automate algorithmic and data vulnerability and risk management
Enterprises using the Azure stack of AI Services, trust Certifai to automate algorithmic and data vulnerability and risk management
Enterprises using the Google Cloud stack of AI Services, trust Certifai to automate algorithmic and data vulnerability and risk management
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