Translation of the Korean Text:
here’s a translation of the provided Korean text, aiming for accuracy and readability:
(Please note: The text appears to be an excerpt from a longer article, likely about AI adoption and vendor selection in the security space.)
…and apply it equally to the development process.
Sharma also predicted that AI investment will continue through 2026. Though, he noted that the proportion of IT budgets allocated to AI could change depending on market conditions and specific business needs. Nevertheless, he stated, “Our commitment to continue leveraging AI in areas that have a meaningful impact on operations and member experience remains unchanged.”
How to Choose a Long-Lasting Solution Provider
Benjamin Hori, CSO of the online booking platform Spotlite, diagnosed that signals of AI market adjustment are already appearing, and the risk exposure on the security side is increasing as startups are directly hit.
Hori said, “If dominant companies offer bundled features that can eliminate the startup category altogether, an immediate backlash occurs. Rapid integration, sudden transitions, and the surprising closure of small solution providers happen, and that instability directly affects the security teams that rely on those tools.”
One of the criteria for separating ‘substance’ from ‘hype’ is distinguishing whether a company is training its own models or simply wrapping another company’s API. Hori said, “From a CSO’s outlook, this difference is directly linked to data control, attack surface, long-term sustainability, and ultimately, risk.” He added, “A solution provider without its own model or without securing data with clear rights is defenseless….”
dl-ciokorea@ (This appears to be an email address, and the text indicates it should not be dependent on something else – likely a specific platform or vendor). dl-ciokorea@foundryco.com
…especially crucial in an habitat where startups can disappear overnight.” He added.
(The text continues,but the provided snippet ends here.)
Key takeaways from the text:
* AI Market Adjustment: The article suggests the AI market is undergoing a correction.
* Startup Risk: There’s concern about the stability of AI startups and the security risks associated with relying on them.
* Vendor Due Diligence: The importance of carefully evaluating AI vendors is emphasized. Specifically, it’s crucial to determine if they are building their own AI models or simply reselling APIs.
* Data Control & Sustainability: Data control, a clear attack surface, and long-term sustainability are key considerations for security leaders (CSOs) when choosing AI solutions.
* Importance of Autonomous Models: Vendors without their own models or clear data rights are considered vulnerable.
