使用 DASF 2.0 管理数据和 AI 安全风险 — 以及客户案例.pdf

1、Forward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all relevant information.Statements contained herein are made as of the date of this presentation unless stated otherwise.This pres

2、entation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will”,“should”,“expects”,“plans”,“anticipates”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the neg

3、ative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on information available at the time those statements are made and are inherently subject to risks and uncertainties that could cause actu

4、al results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of future performance or outcomes.Except as required by law,Databricks does not undertake any obligation to publicly update or revise an

5、y forward-looking statement,whether as a result of new information,future developments or otherwise.2Managing Data and AI Security Risks with DASF 2.0And a Customer StoryArun Pamulapati|DatabricksJoseph Raetano|VAYour presenters4Arun PamulapatiJoseph RaetanoUS AIDatabricks AI Security FrameworkValid

6、ation from 33 external contributors and compendium maps to 10 standards Based on:Databricks AI Security Framework6Full White PaperExecutive ebookNIST 800.53&CSFISO 42001,38507,27001OWASP LLM&ML Top 10HITRUST AI AssessmentMITRE ATT&CK&ATLASWhats new in DASF v2.07AI red teamingIncidence response for A