Seclea AI Governance and Risk Management

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Seclea provides automatic risk and compliance tracking and reporting. Set the
policies for your AI applications from the development to production lifecycle stages.
Seclea easily integrates an explainable and responsible AI platform into any of your
AI development pipelines, whether on-premises or in the cloud. So, your data
science teams have the least friction when using Seclea.

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Product Description

Seclea provides automatic risk and compliance tracking and reporting. Set the
policies for your AI applications from the development to production lifecycle stages.
Seclea easily integrates an explainable and responsible AI platform into any of your
AI development pipelines, whether on-premises or in the cloud. So, your data
science teams have the least friction when using Seclea.

  1. Facilitate Data Science Teams: Seclea does not require a significant change in how your team develops AI applications. It provides explainable and responsible AI with GRC implementation and governance automatically. So your team focuses on what is essential, and we take care of AI GRC.
  2. Set Governance Policies: Set governance policies related to AI development and deployment. Assign responsible persons, approval structures, and automatic tracking. Letting you set, monitor, report, and keep on top of your AI governance objectives.
  3. Automated: Seclea tracks GRC requirements automatically. So, your team spends more time focusing on the accuracy and performance of AI applications. You define when, how, and from whom (data scientist, ethics lead, risk manager, etc.) Seclea collects crucial insights to complement automatic tracking.
  4. Real-Time Tracking: Seclea automatically tracks, collects, and reports all AI GRC-related activities by relevant teams and stakeholders. Seclea reports on all activities and their potential impact on real-time AI regulator compliance and risk management.

Technology Features:

  • Tools for building Responsible and Explainable AI solutions
  • Ensuring Fair and transparent AI
  • Making AI explainable and trackable
  • Auditing AI applications
  • Identity, track and manage AI risks
  • Monitor AI applications at all stages of their lifecycle
  • Ensure regulatory compliance with global regulations, standards, and guidelines

Business Outcomes:

  • Trustworthy Artificial Intelligence (AI)
  • AI application compliant with global regulatory requirements
  • De-risking AI application development and adoption