Vienna, Virginia, United States
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  • Cloud Security

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    The move to the cloud is being driven by the business (not IT), yet we continue to take an IT-centric (applications, servers, CPUs, etc.) approach to cloud security. I propose a way forward to address this incongruence, a recipe based on my interactions with CIOs, CSOs and business leaders all over the world.

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    • Ken Biery
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  • DASF (Databricks AI Security Framework)

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    The Data and AI Security Framework (DASF) is a comprehensive approach to actionably managing AI risks. It offers the following 5 integrated features:
    1. AI System Architecture:
    1. Defines the 4 subsystems and 12 canonical components that make up an end-to-end AI system
    2. Provides a clear understanding of the AI system's structure and elements
    2. AI Risk Identification:
    1. Enumerates the 55 most likely AI risks
    2. Aligns each risk to its corresponding AI component
    3…

    The Data and AI Security Framework (DASF) is a comprehensive approach to actionably managing AI risks. It offers the following 5 integrated features:
    1. AI System Architecture:
    1. Defines the 4 subsystems and 12 canonical components that make up an end-to-end AI system
    2. Provides a clear understanding of the AI system's structure and elements
    2. AI Risk Identification:
    1. Enumerates the 55 most likely AI risks
    2. Aligns each risk to its corresponding AI component
    3. Enables targeted risk assessment and management
    3. AI Deployment Models:
    1. Presents 6 AI deployment models
    2. Identifies the applicability of each deployment model to each AI risk
    3. Helps select the most suitable deployment approach based on risk profile
    4. Mitigating Controls:
    1. Maps 58 mitigating controls to the pertinent AI risks
    2. Enables effective risk mitigation strategies
    1. Control Deployment Guidance:
    1. Provides detailed guidance on deploying each mitigating control on a data platform
    2. Offers practical instructions for implementing risk management measures
    3. Facilitates the integration of controls into the AI system's data infrastructure

    By breaking down the AI system architecture, identifying risks, presenting deployment models, mapping mitigating controls, and providing deployment guidance, DASF simplifies the complex process of managing AI risks. This framework empowers organizations to proactively address AI risks and ensure the responsible development and deployment of AI systems.

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