Proud moment for our team at Capital One Software! 🚀 Gartner named us across four key research areas, including the Market Overview for Data Masking and Hype Cycle Profiles across Digital Tokenization, Augmented FinOps, and Format-Preserving Encryption. https://t.co/jMiTbt4yTS
Ready for tailgate season? When you check out online with Paze®, you can skip typing your actual card number – so you can focus on your snack game. Terms apply. Learn more at link. https://t.co/zbP2CbOB1l
We have exciting news! Troubleshooting Snowflake cost spikes often means spending hours piecing together logs across multiple accounts. https://t.co/yYhd5MOamn
Don’t pick your sensitive data protection technique based on convenience. The consequences show up months later: broken pipelines, silent join failures, or unlogged data breaches. https://t.co/CbHK6JSfKC
Generating reliable insights shouldn’t require sacrificing data security—and at Capital One, we refused to accept that trade-off. https://t.co/77v2ejIvTK
At Capital One Software, we’re constantly evaluating how AI shifts the security paradigm. In our latest blog post, we break down three different ways attackers exploit AI to extract sensitive data, and why standard encryption falls short. https://t.co/YAJ5E1tBql
"Token" might be the most overloaded word in software. Mention it in a meeting and your ML, payments and infrastructure teams will all picture different things. https://t.co/YZbHzESHAk
Scaling enterprise AI in regulated environments requires moving past generic models. At Capital One, we build and train specialized, proprietary models from scratch. https://t.co/V9ufgcYZxT
The Capital One Bank Guy made an appearance at the Capital One Café in SoHo. The ice cream was a great twist on beating the heat, just like how the Café is the perfect twist on banking. Capital One, N.A., Member FDIC. Learn more at https://t.co/p0kgUUuegN https://t.co/vwhj6B7YrA
Bal Reddy Cherlapally shares how AI-powered container standardization simplifies the coordination of vulnerability remediation across hundreds of teams https://t.co/uYs2RBCxwN
Almost a third of enterprise AI pilots never make it to production due to latency bottlenecks, missing domain context, rigid third-party tooling or any number of other issues. https://t.co/60NPnFxL5P
Capital One researchers published a new paper on zero-shot tabular prediction using Adversarially Pre-trained Transformers (APT). https://t.co/qBgp7vtV4Z