Establishing AI Governance for AI-Powered Applications
Artificial intelligence (AI) is transforming industries, driving innovation and efficiency. As organizations integrate AI-powered applications at a rapid pace, they must navigate the unique security risks and governance challenges that come with this advanced technology. Our comprehensive whitepaper provides critical insights into the current AI risk landscape, highlighting essential security considerations and proposing a robust governance framework to guide your organization through this complex terrain.
The Current AI Landscape and Its Implications
AI technologies are advancing rapidly, bringing both opportunities and risks. Security leaders must stay informed about these developments to manage associated challenges.
- Understand the current AI landscape and its security implications to data and compliance.
- Learn about new threat categories that require new detection approaches.
- Review and adopt a governance framework for deploying AI-powered applications in your organization.
Building a Rigorous AI Governance Framework
Our whitepaper proposes a structured approach to build an AI governance program in your organization, emphasizing the importance of visibility and control to ensure responsible AI use and compliance with regulations.
- Establish comprehensive inventories of AI models and datasets.
- Develop policies for sanctioned and unsanctioned AI models.
- Implement data governance practices to prevent data poisoning.
- Vet and approve new AI models effectively.
- Continuously monitor AI models for anomalous behavior and performance issues.
- Conduct regular audits to ensure compliance and mitigate risks.
This whitepaper — Establishing a Governance Framework for AI — will equip your organization with the knowledge and tools needed to navigate the challenges of AI governance and secure your AI-powered applications.
