Cortex Certifai
Visual AI control and Model Intelligence platform to build trust into digital systems.
Do you trust your AI model?
To trust a digital system, we must have confidence in its decisions. However, Artificial Intelligence 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 Artificial Intelligence. 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 generates the first-ever composite trust score, the AI Trust Index, that measures data and model risks related to Performance, Data Quality, Robustness, Explainability, Fairness, and Compliance. Certifai can be applied to any black-box model including machine learning models, statistical models, business rules, and other predictive models.
Effectiveness
In order to trust the predictions made by an algorithm, we must be able to measure the effectiveness of the predictions in solving the target business problem
Bias & Fairness
Trusted AI systems ensure that the data and models being used is representative of the real world and the AI models are free of algorithmic biases to mitigate skewed decision making and reasoning, resulting in reasoning errors and unintended consequences
Explainability
AI systems built using Trusted AI principles and software understand stakeholder concerns for decision interpretability and provide business process, algorithmic and operational transparency so human users will be able to understand and trust decisions
Robustness
As with other technologies, cyber-attacks can penetrate and fool AI systems. Trusted AI systems provide the ability to detect and provide protection against adversarial attacks while understanding how issues with data quality impact system performance.
Data Quality
Data is the fuel that powers AI. AI systems built using Trusted AI principles will ensure user visibility around data drifts, data poisoning, and ensure data validity and fit while ensuring legal justifications to use and process the data.
Compliance
Trusted AI systems take a holistic design, implementation, and governance model that ensures that AI systems operate within the boundaries of local, national and industry regulation and are built and controlled in a compliant and auditable manner.
Why Certifai?
Cortex Certifai helps businesses automate the management of Artificial Intelligence 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?
Trust as a Service On Any Cloud
Cortex Certifai is available on all major cloud marketplaces today. Try it free for 30 days. Get started below.
Cortex Certifai for AWS
Detect and optimize vulnerabilities in models with In-depth assessments, dashboards, with policy and controls for Model Risk Management. Output feeds into data visualization tools like Amazon QuickSight, Tableau.
Cortex Certifai for Google Cloud Platform
Detect and optimize vulnerabilities in models with In-depth assessments, dashboards, with policy and controls for Model Risk Management. Output feeds into data visualization tools like Looker, Tableau.
Cortex Certifai for Azure
Detect and optimize vulnerabilities in models with In-depth assessments, dashboards, with policy and controls for Model Risk Management. Output feeds into data visualization tools like Power BI, Tableau.
Cortex Certifai for OpenShift
Detect and optimize vulnerabilities in models with In-depth assessments, dashboards, with policy and controls for Model Risk Management. Output feeds into data visualization tools like IBM Cognos, Tableau.
Cortex Certifai Toolkit for Data Scientists
Detect and optimize vulnerabilities in models with In-depth assessments, dashboards, with policy and controls for Model Risk Management. Get the free Certifai Toolkit for data scientists.
Detect and score black-box model and data risks to add trust as a service to digital systems.
Automates Data and Model Vulnerability Detection and Scoring
Certifai takes the guesswork out of understanding risks introduced by automated decisions powered by predictive models, machine learning, and other technologies. Certifai automatically scans data and black-box models to learn how to explain decisions, uncover hidden bias, and probe for weaknesses in the data.
Generates Unique AI Trust Index
Certifai generates a numeric score based on 6 key elements of trust: fairness/bias, robustness, explainability, accuracy, compliance, and data quality. Like a credit score, the AI Trust Index enables you to compare your model to industry benchmarks and for go-live criteria within your organization.
Role-based reporting for all key stakeholders
Certifai helps you engage key stakeholders in building trusted AI with role-based reporting for:
- Data Science Teams and IT Experts
- Product and Marketing Executives
- Customers and Employees
- Compliance and Risk Executives
CORTEX CERTIFAI RESOURCES
CORTEX CERTIFAI ARTICLES
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CORTEX CERTIFAI VIDEOS
CASE STUDY: AI-Powered Regulatory Compliance
A leading global financial services firm providing investment banking, securities, wealth management and investment management services. The bank relied on manual and expensive legacy processes to ascertain which external and internal rules and regulations applied to which retired assets.
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