Who can be trusted?
Determine whether a customer, employee or counterparty is real, coherent and supported by the evidence around them.
Identity Intelligence EngineFrom fragment todecision product.
LightHouse is the first autonomous Identity Intelligence engine. From a single fragment, its agents surface the person or organization involved and the risk they carry. Every claim carries the evidence behind it, ready for an analyst to inspect.
Analysts set the mission and the limits. The engine works inside them.
Diagram: from a single identity fragment, LightHouse resolves a web of connected accounts, domains and aliases. Risk findings are flagged.
The decision
The apparent picture is not enough.
The worst failures begin before anyone realizes there is a problem. The visible picture appears complete while the relevant reality remains concealed, fragmented, stale or changing.
What is exposed?
See what an adversary can assemble across people, accounts, infrastructure and public activity.
Who is behind it?
Resolve aliases, handles, domains and infrastructure to the people and organizations standing behind them.
What changed?
Identify the new fact, relationship, exposure or behavior that changes a decision made before.
A clean record isn’t proof.
Most screening and due diligence lean on the public record. Credit files, court records, registries. Authoritative, and blind in three ways.
Records update slowly.
By the time a record is read, it describes the person as they were when it was filed.
Records can be faked.
A fabricated identity is built to satisfy exactly these records, so a synthetic applicant clears a clean check.
Empty records read as clean.
A person can opt out, work under another name or never appear. To a records search, empty looks the same as clean.
A check reads what was filed. LightHouse reads the record a real life leaves.
LightHouse works the way an expert team of analysts would: it follows every lead, checks each source against the others and digs deeper when the first pass is thin. A hundred directions at once. It does not get tired and it does not skim.
Diagram: an identity record reading Clean expands into a web of connected evidence and the verdict changes to High risk.
Read far past the file.
Begin with what is on hand.
The engine determines where to look and which lead to pursue next, inside the authorized sources. The output is not a ranked list of possible matches. It is a decision product.
No black box.
Analysts set the limits. The engine does the legwork inside them. The decision stays with the customer.
Open any finding.
See the source behind it. The confidence in it. The facts kept separate from the call. Every finding replays end to end. The decision made on it can be defended to a regulator, a lawyer, an executive or the person it affects.
Every answer files as one record, shaped to the mission. Graph, dossier, narrative assessment, structured export, alert or briefing.
And when the evidence clears a name, the dossier says so.
The same person, read twice. A standard check returns four data points and reads clean. The LightHouse read surfaces twenty-two data points including linked aliases, interests, security level, history length, a confidence score and a risk score. Every point carries its source.
PersonApplicantData points4Identity documentsIn orderCredit fileFoundCourt recordsNoneWatchlistsNo matchCleanThe file ends here.
PersonApplicantData points22InterestsPrivacy tooling · high-yield forumsSecurity levelElevated · compartmentedHistory9 yrs · 3 namesContradictions1 held openHigh risk · reviewEvery point carries its source and its confidence.
SourceCited · on the recordConfidenceCorroboratedRecordedContemporaneous
Confidence0.87
Risk71
Where being wrong costs the most.
Missions where analysts review answers instead of hunting for them.
Missions
Where the decision changes.
The surface problem varies. The discipline does not.
Develop the changing environment around a known person. Surface the exposure, the impersonation or the new relationship that requires review.
Map what an outside actor can discover about an organization, its people, infrastructure and operational dependencies.
Examine the customer, the recipient and the actors around them. Catch the taken-over account, the synthetic identity or the mule network before the moment to intervene passes.
Connect anonymous activity to the people and organizations behind it. The aliases, accounts and infrastructure resolve with them.
Test whether the available evidence supports the claimed person or organization and whether the surrounding history is coherent.
Develop what the official record leaves out. Control, relationships, aliases, history, exposure and contradictions.
Detect when a new fact changes a decision. Always inside the approved scope, authorities and operating limits.
Continuous monitoring
Time reveals what a record cannot.
A check is a moment. A life is a sequence. The engine keeps reading after the check is done, inside the same limits. What changed. When it changed. What the pattern says about the person now.
History depthNew
Corroborated points0
Read the sequence, in time to decide.
Deploy where the work happens.
Range · full
Run where operations happen
Managed cloud, the customer's Virtual Private Cloud or fully air-gapped.
Nothing given up at the sensitive end.
No outbound connection.
Mode · Forward-deployed
Deployed into the mission
Forward-deployed, beside the team.
A Forward Deployed Engineer and an Intelligence Mission Lead turn one hard question into a system the team runs.
See it on a decision in play.
Bring a question that turns on trust, risk or identity. Watch the engine work it from fragment to verdict.