AI Governance
Accelerate AI adoption with Agents that triage and assess use cases autonomously, so your team can govern at the speed the business is moving — not block it.
- Create a comprehensive view of your AI risk landscape.
- Delegate first-pass reviews to AI Governance Agents and free up critical team bandwidth.
- Show the impact of AI initiatives in business terms.

Outcomes at a Glance
25%
Less Time on Risk Identification
75%
Reduction in AI Use Case Assessment Time
1200 hrs
Projected Annual Savings with AI Governance Agents
*Based on LogicGate customer case studies
Key Capabilities and Product Features
Build a centralized catalog of approved AI use cases and models by defining the review & approval process and documenting key data points for decisions.

Agents automatically triage incoming use cases and route them to the right assessment path, then automate first-pass evaluations against your defined risk framework to flag proposed mitigation.

Prepare for new regulations like the EU AI Act, NIST AI Risk Management Framework, and ISO 42001 by linking AI use cases to assessments, risks, and policies.

Identify, assess, and mitigate AI deployment risks like data privacy, algorithmic bias, and cybersecurity threats with continuous monitoring.

AI Governance Solution
From applications and integrations to frameworks and regulations, we partner with your team to build an AI Governance solution that evolves with your changing business needs.
The Agentic Era of AI Governance
LogicGate’s AI Governance Agents execute complete, multi-step processes inside Risk Cloud with a complete audit trail. That means delegating first-pass AI use case reviews to purpose-built agents that can handle the volume of requests that used to bury your reviewers.
Frequently Asked Questions
AI governance involves managing the risks, ethical considerations, and compliance requirements associated with AI technology. It ensures that AI is used responsibly, aligns with business goals, and adheres to regulatory frameworks like the EU AI Act or NIST guidelines. For organizations adopting AI, governance is critical to maintain trust, compliance, and innovation.
Our solution helps manage AI risks, ensure compliance, and foster responsible AI use. AI Use Case Management provides workflows from submission to approval of AI use cases easing the governance process. AI Policy Management helps standardize AI policies aligned to AI risk tolerance, but integrate them with existing Policy & Procedure Management applications. AI Risk Management integrates into your cyber risk register with assessments, monitoring, and mitigation of AI-related risks across the enterprise. Use NIST controls to stay ahead of emerging AI risks and maintain compliance with evolving regulations.
Risk Cloud® offers out-of-the-box workflows for documenting, reviewing, and approving AI use cases across the organization. This ensures proper stakeholder involvement, adherence to AI policies, and regulatory compliance from the very start of the AI adoption process.
Our AI Governance Solution t is designed to support the workflows necessary to manage AI risk and meet various compliance requirements, regardless of the framework. It incorporates best practices from several sources, such as NIST and the EU AI Act, but is highly adaptable and customizable, allowing organizations to align with their specific regulatory environments while addressing evolving AI risks.
Separating the AI Governance Application ensures more granular information than what would be possible through a TPRM Application. Various teams need separate approval for the use of AI from a single vendor depending on their functions. The Application allows organizations to track, assess, and approve all use cases. Additionally, the Application will allow you to track the use of AI developed in-house, which is not possible to do with just a TPRM Application. Take advantage of Risk Cloud’s graph database and link relevant vendors to a particular AI use case to ensure centralization of information.
Risk Cloud® offers out-of-the-box workflows for documenting, reviewing, and approving AI use cases across the organization. Teams also have the option of delegating first-pass reviews to AI Governance Agents that triage and assess those use cases autonomously. This ensures proper stakeholder involvement, adherence to AI policies, and regulatory compliance from the very start of the AI adoption process, without the team becoming the bottleneck.
AI Agents use a set of predefined skills to autonomously achieve a defined goal. In Risk Cloud, this looks like triaging a new vendor or completing a risk assessment. Generative AI is leveraged by humans as a tool to accelerate task completion and minimize human error. In Risk Cloud, this looks like using Spark AI to automate evidence testing or summarize hundreds of data points.