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AI Team
Secure and Effective Generative AI Management
As Generative AI (GenAI) systems, like Microsoft Copilot, expand across business networks, AI governance teams are tasked with ensuring their safe, compliant, and effective use. These teams are responsible for protecting data privacy, maintaining confidentiality, and ensuring that GenAI is used appropriately across various systems. In a rapidly evolving landscape, managing GenAI’s impact requires ongoing vigilance to avoid misuse and ensure that the information surfaced is accurate and relevant.
"I have a responsibility to make sure our GenAI usage is compliant and safe, and that it actually returns meaningful and impactful results for our users."
How we help you
Castlepoint helps you prepare for the rollout of Generative AI and provides continuous governance through:
- Clean up risky data: Castlepoint identifies and flags sensitive, personal, and confidential data, ensuring that high-risk information is secured or removed before Generative AI can access it.
- Clean up obsolete data: By automatically determining the retention period for your information, Castlepoint ensures that outdated data is disposed of, preventing Generative AI from delivering inaccurate or obsolete responses to queries.
- Monitoring and Auditing: Castlepoint tracks every interaction with tools like Microsoft Copilot, giving you full visibility into who is using the system, how frequently, and what other activities they are performing in parallel.
- Quality assurance: Castlepoint monitors the source documents used by Generative AI systems, allowing you to assess the age, sensitivity, and relevance of the information used in AI outputs. This ensures that results are up-to-date and compliant.
- Alerting: Be instantly notified when new sensitive, controversial, or high-risk content is created or saved in your network. Castlepoint alerts you before Generative AI can expose or misuse this data.
