Inbound Screening
Every applicant screened, none skimmed
Noon pulls new applications from your ATS several times a day, evaluates each one against the same criteria and non-negotiables you set for outbound sourcing, ranks them, and flags suspected fraud before anyone on your team spends time on it.
Your applicant queue, ranked.
Fraud detection, in the same queue
Fake and duplicate applications are a growing share of inbound volume, and a strong resume is the easiest thing to fabricate. Noon’s layered fraud detection runs on every inbound applicant before review: connection metadata is analyzed for VPN, proxy, and datacenter routing, the claimed location is reconciled against the observed timezone, and the contact email is screened for disposable domains. Correlated signals become an explainable flag written directly onto the applicant record. Flagged applicants are marked, not silently dropped, so your team sees the warning next to the evaluation and makes the final call. Learn more about Fraud Detection and candidate fraud red flags.
Checked before you review.
Decide in Noon, update your ATS
Reviewing applicants in Noon is the same workflow your team uses for sourced candidates. Advance an applicant and they move to the ATS stage you mapped; reject one and Noon uses the rejection reasons your ATS already defines. Thumbs-up and thumbs-down feedback calibrates the ranking per role, and changing criteria re-evaluates the applicants already in the queue. Set how far back to start and Noon keeps checking daily for new applications. Learn more about ATS Search and ATS integrations.
What your team controls.
Inbound Screening FAQ
How does Noon screen inbound applicants?
Noon connects to your ATS, pulls new applications several times a day, and evaluates each one against the criteria and non-negotiables you set for the role, the same way the AI Sourcer evaluates candidates from the open web. Applicants are ranked by fit so your team reviews the strongest first.
Does Noon detect fraudulent applicants?
Yes. Noon’s layered fraud detection runs on every inbound applicant, analyzing connection metadata for VPN, proxy, and datacenter routing, reconciling the claimed location against the observed timezone, and screening the contact email for disposable domains. Flagged applicants are marked in Noon rather than hidden, so recruiters see the warning alongside the evaluation and decide what to do. The same protection covers outbound candidates; see the Fraud Detection page.
Which ATS platforms support inbound screening?
Inbound screening runs on ATS integrations that expose applications to Noon, including Greenhouse, Lever, Ashby, Workable, Atlas, and Loxo. See the integrations page for details on your ATS.
What happens when I advance or reject an applicant in Noon?
Advancing moves the applicant to the ATS stage you mapped during setup. Rejecting uses the rejection reasons your ATS already defines. Your ATS stays the system of record.
Is Noon secure enough for our security review?
Noon is SOC 2 Type II and GDPR compliant, supports SSO and SAML, and offers dedicated support with custom contracts and invoicing for enterprise customers.
Explore the rest of Noon: AI Sourcer, AI Interviewer, AI Scheduler, AI Notetaker, AI Outreach, Network Sourcing, ATS Search, and Fraud Detection.
See Noon's Inbound Screening in action, or explore the unlimited plan and enterprise options.
