Minimum Viable Secure Product is a minimalistic security checklist for B2B software and business process outsourcing suppliers. Designed with simplicity in mind, the checklist contains only those controls that must, at a minimum, be implemented to ensure a reasonable security posture.
When you’re selling for an open source business, you have basically three levers to pull. For founders of open source startups (and the sales teams they eventually hire), what is unique about sales when their company also offers a free alternative?
Learn how Guy Podjarny and his co-founders built Snyk by pioneering a go-to-market motion that coupled product-led growth for developers with enterprise sales targeted at security leaders. Check out this complete case study on how Snyk found product-market fit.
Companies’ data infrastructures—including those at many young startups—are often terminally messy, full of brittle scripts, manually updated CSVs, and “pipelines” that involve transferring an Excel file from one computer to another with a USB drive.
Much of what Hugging Face delivers falls into MLOps, a category of tools for streamlining the process of taking AI models to production and then maintaining and monitoring them. The MLOps market is substantial in its own right, with one report estimating that it’ll reach $16.61 billion by 2030.
To get a better understanding of the landscape and the future challenges and opportunities offered by generative AI systems, we spoke with experts at Okta, Splunk, and Tonic to cover day-to-day and long-term data privacy and security strategies, and market opportunities in the space.