BOT APPLY PROTECTION

    Fight bot applications with the strength of the Dalia network

    Identify and block bots and AI auto-applies in real time, with verification trained on a network of 10M+ pre-validated job seekers. Recruiters spend less time filtering noise and more time hiring real people.

    Pipeline integrity
    Verified applications
    99.2%
    Bots blocked
    99.9%
    Bot rate
    0.1%
    0100k140k180kAugDec

    Bots and AI auto-applies are flooding your pipeline.

    Traditional application forms don't verify who's submitting. Bots and AI auto-apply tools take advantage of that, flooding your pipeline with noise that looks just like a real candidate.

    Recruiters lose hours filtering junk and guessing at sources instead of hiring. Worse, aggressive filters meant to catch the bots often screen out qualified humans alongside them.

    The result: clogged ATS systems, wasted outreach on fake profiles, and real candidates lost in the noise.

    Fight noise with richer signals

    Dalia's verification learns from behavior and engagement data across a network of millions of real job seekers.

    Protect against shifting tactics

    Get unified protection against bots, AI auto-applies, and fake submissions, all in one place.

    Stay ahead of emerging threats

    As auto-apply tools and AI agents evolve, Dalia keeps pace with how application fraud changes.

    Plug into your existing stack

    Works with any ATS and career site. Get clean, verified candidates with zero integration required.

    Strength in numbers

    By drawing on a network of 10M+ pre-validated, high-intent job seekers, Dalia scores every application and automatically blocks the ones that don't come from a real person. The bigger the network, the harder it is for bots to hide.

    Better outcomes with verification

    Secure two-factor verification confirms every application comes from a real human before it reaches your ATS, blocking 99.9% of bot applications and tripling completion rates for the candidates who matter.

    HOW IT WORKS

    Where Dalia's signals come from.

    Data from verification

    Every connection requires secure two-factor authentication, blocking bot traffic and fake AI applications before they ever reach your ATS.

    Data from behavior & intent

    Dalia analyzes career site and job alert engagement, so the signals that prove a real, interested human come standard with every application.

    Data from the Dalia network

    Applications are matched against a network of 10M+ pre-validated job seekers, giving every submission a trusted identity baseline.

    Verification rules+ Add rule
    Rule performance
    Verified human12,840
    Blocked bot1,902
    Flagged AI auto-apply416
    Allowed · low risk48,210

    Protect your pipeline end to end.

    Verify real people

    Built-in verification helps ensure every application comes from a real person, not a script or an AI agent.

    Block AI auto-applies

    Two-factor authentication blocks bots and fake submissions, eliminating the auto-applies that flood your pipeline.

    Surface high-intent candidates

    Behavior-based intent data keeps qualified humans from being screened out alongside the bots, so the best people rise to the top.

    Customize screening rules

    Tune verification and screening rules to your roles and risk tolerance, with a clear view of what's getting through.

    99.9%
    Bot applications blocked
    3X
    Increase in application completion rate
    10M+
    Pre-validated job seekers in the network

    Who uses Bot Apply Protection?

    High-volume recruiting teams

    Stop drowning in junk. Cut the hours recruiters lose filtering bot noise and spend that time hiring real people.

    Employer brand & career site owners

    Keep your talent pool clean. Only real, verified candidates get through, so outreach never gets wasted on fake profiles.

    Recruiting ops & TA leaders

    Trust your pipeline data. With bots removed and intent surfaced, every report reflects real, interested candidates.

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