PixelRain AI Governance Platform
the first comprehensive governance platform for managing genAI applications and AI risk management
CAIO’s face tremendous responsibility and opportunity to significantly impact their organization in their role of coordinating their agency's use of AI, promoting innovation, and managing associated risks. CAIO’s are mandated to maintain awareness of AI activities, identify and prioritize AI uses, remove barriers to responsible AI deployment, advocate for AI benefits, manage AI-related risks, oversee compliance, conduct risk assessments, develop compliance plans and agency strategies, advise on resourcing and workforce skillsets, and ensure agency-wide compliance with AI standards and policies. Without an automated capability to capture relevant governance data, the scope becomes unmanageable.
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PxR offers a governance platform plus built in capabilities to extend controlled, monitored and managed use of genAI throughout the agency.
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What's your challenge?
PxR Feature
Challenge
Built in Agents
Route the right users to the appropriate data for the correct problem, preventing unauthorized data release and ensuring that dataset combinations do not violate data privacy.
Access Multiple Models – Locally Deployed
Providing the right model for the right situation as not all models perform the same – e.g., Mixtral 8x22B, Google Gemma 2 27B, etc.
Access controls
Access Multiple Models – Cloud
More solutions are becoming available in GovCloud environments, with MS Azure OpenAI Services recently achieving FedRAMP High status and rolling out their strongest models, including GPT-4o.
Access Controls
Maintaining security and integrity of internal systems and datasets and manage/ monitor who can access what AI models, applications and data.
Metadata on AI applications, tools and agents
Central repository to capture information about AI models and applications, AI usage, AI risk and other relevant metadata for analysis and reporting.
Dataset Controls
Controlling access to CUI/Other data and protect its unauthorized release.
Unstructured Data Search
Capturing knowledge from vast unstructured data stores via Retrieval Augmented Generation
Logging
Understand and control who is accessing which GenAI applications and associated data, including the risks and benefits involved.
Deployable On-Prem or in the Cloud
Enabling access to LLMs with organization data that cannot be released publicly, including air-gapped environments.
Insights
Enable data-driven decision making through LLM-enhanced tools integrated into existing processes.
Dataset Characterization
Understanding what datasets to make available via LLM-enabled data labeling and data enrichment solutions.
Add 3rd party AI applications
Domain specific 3rd party applications add value – ensure governance across all AI-applications.
Single Point of Entry
Employees need access to GenAI, but it needs to be controlled – provide a single point of entry (i.e. Chatbot-like-interface) for users to improve adoption and reduce training/change-management activities.