Security & Compliance

Identity verification that goes beyond a name match

Trust and safety teams, compliance officers, and security researchers all face the same core problem: someone gives you a name, and you need to know who they actually are. Is this person who they claim to be? Have they been associated with fraud, sanctions, or reputational risk? Does their stated employment history check out against public records? Answering these questions with confidence requires pulling together signals from across the internet — and most tools either give you a shallow match or dump raw search results that still require hours of analyst review.

Ploid resolves identities across hundreds of sources and returns structured profiles with evidence attached to every field. You see where each data point came from, how confident the match is, and the full professional context around a person — not just a boolean “verified” flag with no explanation behind it. That transparency is what compliance workflows actually need.

People due diligence with sourced evidence

Vendor onboarding, executive hiring, partnership reviews, and customer KYC all require looking at the people behind an organization. Traditional background checks are slow, expensive, and often limited to criminal records and credit history. They miss the professional context that matters most: where someone actually worked, what they built publicly, who they are connected to, and whether their stated credentials align with what is visible on the open internet.

Ploid fills this gap by assembling comprehensive people profiles from public sources — employment history, institutional affiliations, published work, social presence, and professional associations — into a single structured record. Every field comes with its source, so your team can audit the evidence, flag discrepancies, and document the review for regulators or internal policy. The due diligence that used to take an analyst a full day happens in minutes, with a clearer audit trail than manual research ever produced.

Fraud prevention and impersonation detection

Synthetic identities and impersonation attacks exploit the gap between what someone claims and what is verifiable. A fraudster creates a plausible LinkedIn profile, submits an application with a real-sounding name and title, and hopes nobody checks deeply enough to notice the inconsistencies. Catching this requires cross-referencing multiple signals — does this person appear anywhere else on the internet? Do their employment dates align across platforms? Are there gaps or contradictions in their stated history?

Ploid's identity resolution engine is built for exactly this kind of cross-source verification. When a profile only exists in one place, when employment dates conflict, or when a claimed credential does not appear in any public record, those signals surface automatically. Your team stops relying on gut feel and starts making decisions based on structured evidence — which is what auditors, regulators, and your own risk policies require.

Compliance workflows that scale

Manual people research does not scale. When your platform onboarded ten vendors a month, an analyst could review each one by hand. At a hundred a month, the queue becomes a liability. Ploid lets compliance teams run people checks at the volume their business actually operates — bulk enrichment for vendor lists, programmatic lookups through the API, or ad-hoc investigations through the platform. Same schema, same evidence model, same audit trail whether you are checking one person or ten thousand.

For security and compliance teams, the ROI is straightforward: faster reviews, fewer false negatives, and a documented evidence chain for every decision. Ploid does not replace human judgment on risk — it gives your team the complete, sourced intelligence they need to exercise that judgment confidently.