AI 正在重塑数据负责人的职业风险
The New Threat to a Data Leader's Career
AI 正让数据泄露对数据负责人职业的威胁变得和安全事件对 CISO 一样致命。Guy Podjarny 与作者对谈指出，数据已从内部专用走向营销、销售、客服与产品等外部场景，AI 显著扩大了安全暴露面，数据防泄漏、合规与可解释性成为首要议题，模型漂移、可观测性与滥用同样值得关注。
In short : AI is reshaping data leadership risks, making data breaches as critical as security incidents for tech leaders.
Recently, Guy Podjarny, President of Snyk & I talked through an investor’s view of AI’s impact on security & data.
What’s changed with AI?
A reckless data security leak threatens the career of a head of data, just as much as a mismanaged security incident ends a CISO (chief information security officer)’s. Clorox, Uber, SolarWinds, Target, JPMorgan, Facebook, Equifax, & CapitalOne : All these CISOs have been fired in the last ten years for security issues.
Data has emerged from the shadows of internal-use-only to a critical ingredient in marketing, sales, customer support, & product - external roles.
For example :
- An account executive might paste in some data about a customer’s usage of a product to create a line chart for a pitch.
- A marketer may combine internal growth metrics with industry growth rates to show the company’s increasing market share.
- A product manager may build a chatbot using internal knowledge base articles & customer support conversations from the last few months.
In 2024, we’ll see data and security professionals collaborating to avoid disaster in use cases like these because AI increases the security surface area markedly :
Data loss prevention (preventing sensitive data from leaving a company), compliance with regulation, explainability - why a model produced a calculation - top the list.
But there’s more that matters : model drift or degradation over time, observability, and misuse. Models respond to human input : malicious user input induces toxic answers from models. In fact, there are now two kinds of models : censored & uncensored.
Uniting the domain expertise of the security leader with that of the data leader will be critical to ensure the successful use of AI.
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GP at Theory Ventures. Former Google PM. Sharing data-driven insights on AI, web3, & venture capital.
来源：Tomer Tunguz 博客 · tomtunguz.com