Find the signal
Scan current AI developments in the live feed and radar, or search the archive by topic and source.
See the radar →AINewsIQ turns public AI research, releases, and discussions into short, source-linked briefs. For enterprises, we are designing a private layer that could connect those developments to approved company news, technology inventory, and decision criteria—so teams can review what may matter to them.
Scan current AI developments in the live feed and radar, or search the archive by topic and source.
See the radar →Open a stored abstract, key takeaways, caveats, the original link, and available source relationships. Attention is labeled separately from verification.
How sources are handled →Public reading needs no account. Free accounts can follow topics, save reading across devices, and participate in moderated discussion.
See access options →An adapter would bring in only approved internal signals or context. AINewsIQ could then relate a public development to a company change, deployed technology, or policy—with a visible reason for that connection. Private items would stay within the organization’s authorized view.
Connect selected internal announcements, architecture decisions, release notes, or approved knowledge sources. Each item would keep its source link, time, and access boundary.
Match public news to an authorized inventory of products, vendors, repositories, and versions. “Relevant to our stack” would show the matching fact and its age.
Use a versioned assessment contract to record scope, evidence, assumptions, unknowns, and review. A security headline alone would never count as proof of your exposure.
These adapters, private assessments, and paid team workflows are being designed; they are not connected to customer systems today. The public source-linked desk is live.
For a technology risk review, the proposed workflow would ask which product and version are deployed, whether the reported weakness applies, what evidence supports exposure, and who approved the assessment. A Living Prompt Contract can preserve that scope and decision history. An OWASP-style likelihood-and-impact method can guide an applicable assessment, while missing deployment facts remain unknown.
Business impact follows the same rule: a cost-saving estimate needs a baseline, units, assumptions, and a source. A news brief should never manufacture a dollar figure.
Start with one source and one decision. We’ll use your inquiry to discuss fit and scope; it does not create an account or start an integration.