What is Secured AI?
Secured AI delivers a unified platform designed to streamline AI Governance, Risk, and Compliance (GRC) processes for organizations. It equips businesses with the necessary tools to gain visibility into their AI landscape, proactively identify potential risks associated with AI models, and ensure alignment with evolving regulations and internal policies. The platform facilitates comprehensive oversight through automated discovery, continuous monitoring, and robust risk assessment capabilities.
By offering a centralized control hub, Secured AI helps manage the entire AI lifecycle from development to deployment and beyond. It supports adherence to critical standards like the NIST AI RMF, EU AI Act, and ISO 42001, simplifying compliance efforts. This allows organizations to confidently leverage AI technologies while maintaining control, minimizing potential harms, and building trust with stakeholders through responsible AI practices.
Features
- AI Discovery & Inventory: Automatically discover and catalog all AI models used within the organization.
- AI Risk Management: Identify, assess, prioritize, and mitigate risks associated with AI systems.
- AI Compliance Management: Ensure and demonstrate adherence to relevant AI regulations and standards (e.g., EU AI Act, NIST AI RMF).
- Third-Party AI Risk Management (TPAIRM): Assess and manage risks stemming from third-party AI vendors and solutions.
- AI Red Teaming: Proactively test AI models for vulnerabilities, biases, and performance issues.
- Centralized Control Hub: Provides a single pane of glass for managing all AI GRC activities.
- Real-time Monitoring & Alerts: Continuously monitor AI models and receive alerts on policy violations or emerging risks.
- Automated Workflows: Streamline GRC processes like risk assessments and compliance checks.
Use Cases
- Establishing an organization-wide AI governance framework.
- Conducting risk assessments for internally developed or procured AI models.
- Ensuring compliance with AI regulations like the EU AI Act.
- Managing the risks associated with third-party AI vendors.
- Creating and maintaining an inventory of all AI assets.
- Monitoring AI models in production for performance and drift.
- Implementing responsible AI principles across the organization.
