Zeer
AviatrixAviatrix buying intent
20 tracked signals — top 10 topics below — Sales and Engineering are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a Aviatrix employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at Aviatrix
verified title on filePeople at Aviatrix whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching Aviatrix
names withheld on the public pageCompanies whose people mention Aviatrix in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning AviatrixReal public activity that surfaced Aviatrix in a tracked topic. Not a sentiment score — just what people actually wrote.
I spent eight years as CEO of Splunk. I believe in detection deeply. I also believe, and I've been saying this publicly, that detection alone is no longer enough against what's coming. The threat landscape has gone through a radical phase shift that is adamantly demanding an aggressive focus on containment, coupled with the right detection approach. Shachar Hirshberg and Dan Shiebler are building the right answer to the detection half. An AI-native platform that builds a living model of your environment, autonomously correlates signals across identity, network, and cloud, and surfaces attack narratives instead of alert noise. Early deployments are cutting mean time to detect and respond by 94%. That is what detection looks like when it is designed for AI-speed attacks rather than the threat landscape of ten years ago. Detection without containment is sonar without watertight compartments. This team is doing their part. Proud to be backing them. https://lnkd.in/gP84kihP