Scale AI with total oversight

Continuously monitor and remediate AI risks, vulnerabilities, and performance across hundreds or thousands of AI models.

The safe way to
scale AI

Control automatically monitors all your AI models in production – identifying the risks, threats, and vulnerabilities, that impact their performance – while helping you remediate them.

Manage and mitigate risk in real-time

Be one step ahead of risks across all AI models by identifying and evaluating their root cause, their severity, and how to mitigate them. Across  internal and external information exchanges.

Improve explainability and accountability

Ensure the decision-making processes behind AI models are transparent and understandable to key stakeholders. And enable productive discussions about the business impact of AI.

Proactively optimize models’ performance

Avoid performance issues ahead of time by continuously monitoring data inputs across your models for consistency, accuracy, and competency.

Focus on business value and KPIs

With monitoring off your plate, you can focus on making sure your AI models deliver better business results. And safely and securely amplify your organization’s AI power.

Gain full control over all your models

Control runs on your cloud infrastructure, integrating directly with your data sources and lakes to continuously scan your ML pipelines. It then segments and prioritizes risks for different stakeholders across the organization by data, model performance, infrastructure, or compliance.

Get a real-time view of your overall risk status

Understand the business impact and root cause of each risk, threat, or vulnerability along with recommendations for remediation.

Prioritize incidents based on severity

See the potential business impact of each risk and research-based explanations for their cause to speed up the resolution of incidents.

Control and define your checks and thresholds

You decide which risk checks and thresholds to enable, and Control will present the results of only relevant checks based on the specific characteristics of each project.

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