控制人工智能风险自信释放创新.pdf

1、Taming the Risks of AI with Automated Best PracticesBill ShockAI costs scale faster than your ability to track them.$72 K overnight experiment$500 K in a week,unnoticed$80 Mil in unexpected spent.ExposureYou dont need a hacker,when your config does the job!38 TB of data exposed,AI test 1.6 Bil recor

2、ds breached via misconfigured datastore37 Mil Customer Accounts,via misconfigured APIsDj VuBill shock.Security leaks.MisconfigurationsFaster.Bigger.More uncontolledThe AI DilemmaMove too slowly,and risk irrelevanceMove too fast,and risk breaches and unexpected costsLeadership InsightsTwo essential t

3、ruths leaders face when responsibly scaling AI.0102AI accelerates everythingincluding exposure to operational,financial,and reputational risks.Traditional controls cant keep up.Policies,checklists,and manual reviews prove to be ineffective.Good AI starts with Solid FoundationsBelow an AI application

4、Application Layer and APIsCloud Provider(AWS,Azure,GCP)Cloud Foundations:Security,governance and operational shared services and infrastructureApplication infrastructure layerAgentic orchestration and Models layerBelow an AI applicationMany AI risks can be prevented with stronger automated controls.

5、Unfortunately,organizations often lack deep expertise and focus on securing controlled cloud environments.Most organisations focus on the model and application layers and align resource expertise accordingly.Cloud Foundations:AI Readiness by DesignCities need roads,zoning,and utilities before they g

6、row.AI needs control,automation,and cost clarity before it scales.CONFIDENCEBefore you scale AI,the foundation must hold.SPEEDAutomate and move fast without losing control.Networking,IAM and Landing ZoneInfrastructure&AccessSecurity,Governance as Code,OperationsControl&GovernanceAlerting,FinOps,Cost