Not long ago, some business leaders seemed to view enterprise search as a “nice-to-have.” Or, at the very least, they considered it more of a supporting utility than a strategic, business-critical platform. Organizations use enterprise search tools to help employees locate internal documents and enable support teams to surface relevant information. And, of course, retailers have long needed search to help customers navigate their product catalogs. But historically, expectations have been relatively modest: Users entered a few keywords and received a list of links, and then they did the remaining legwork themselves to figure out which results were relevant. It’s little surprise, then, that many companies have historically relied on self-managed open-source solutions like Apache Solr for enterprise search. But even though the role of enterprise search has changed, many organizations’ approach to search has not. The rise of GenAI has trained customers to expect companies’ search tools ...
OpenAI has released its Codex Security command-line interface and software development kit as open source software under the Apache 2.0 license, providing a new way to bring its AI security scanner into development workflows. The CLI can scan repositories, review staged and unstaged changes before a commit, compare findings across scans and export results for use in other code-scanning tools. Teams can also run it in CI and set a severity threshold that returns a failing status when a completed scan identifies a finding at or above that level. OpenAI recommends starting with advisory results before allowing findings to affect the CI check. Because the client code is public, teams can inspect and adapt the CLI or SDK to fit their own tooling. But that openness stops at the integration layer, as the service that performs the underlying analysis remains under OpenAI’s control. “OpenAI open-sourced the client and kept the scanner. That is distribution, not openness,” said Mitch Ashley, ...