Does My Agency Need an AI Governance Platform?
OMB’s Proposed Memorandum on Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence is clear. “While AI is improving operations and efficiency across the Federal Government, agencies must effectively manage its use.” This is a direct reference to governance.
Using the PxR AI Governance platform, organizations will immediately gain greater visibility of internal AI usage. This supports the directive to maintain tighter control over their AI systems and allow them to automate compliance with regulations.
PxR is the platform to use to efficiently manage the varied aspects of AI governance including:
Automated Monitoring
Automating the collection of data on AI systems, performance, usage statistics, and compliance with specified standards helps ensure continuous oversight without hours of manual effort.
Automated Reporting
PxR delivers thorough, customized reports consistently on time. More than that, PxR generates real-time alerts and reports, facilitating timely decision-making and user compliance assessments.
Compliance Checks
Automated tools continuously log AI system activity and can perform predefined compliance tests and checks at scale, reducing manual workload.
Security Management
Access controls govern who can access what AI systems and what datasets. Privacy checks ensure CUI (Controlled Unclassified Information) is not inadvertently released to employees not granted access to certain data or into the wild through uncontrolled access to external LLMs. This model is highly customizable and can execute data access/exclusion at both the user authority and data source levels. The security of classified information is always maintained at the highest level.
Performance Benchmarks
Logging provides visibility into whether AI systems are operating within the desired parameters and delivering expected outcomes. Trend data provides insight into datasets accessed, context of interactions and usage patterns.
Data Checks
Automated characterization of datasets provides insights into potential risks. Cross checks with usage patterns through the unique capabilities of AI within PixelRain reveal unintended risks and/or benefits.
AI Model Testing and Validation
In the rapidly growing information and AI spaces, data and models must be kept up to date. PxR tracks AI system and AI model testing and validation activities, flagging when validation is out-of-date.
Documentation and Traceability
PxR generates and maintains comprehensive documentation for AI systems, including history, risk assessments, usage patterns and audit trails crucial for ensuring transparency and accountability in AI operations. Beyond simple monitoring, this allows deeper analysis into daily AI usage and will support organization wide training and improvement in creating queries, (Prompt Engineering). An AI generated dashboard also gives senior visibility into AI usage by office and group to support a deeper understanding of where the greatest value is happening and support in defining the vision for moving forward.
Map
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Get a holistic view of your AI applications and see interdependencies to address negative risk prevention
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Improve your capacity to understand AI application contexts
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Validate assumptions on usage and identify when applications go beyond intended context
Measure
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Collect data on usage and usage patterns
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Monitor applications in production
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Track whether applications, models, tools and agents are evaluated in accordance with agency policy
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Collect user feedback
Manage
- Monitor and control AI applications in production
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Manage access rights
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Manage models, tools and agents
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Track the benefits derived by the enterprise