Fraud investigation
Examine whether apparently separate names, accounts, profiles or associated organisations may belong to the same wider identity or network, before moving into deeper fraud analysis.
Identity Intelligence Engine
See when profiles, aliases, records and digital identifiers found across different authorised sources may relate to the same person, account or organisation, with the evidence behind every connection kept in view and the final judgement left to the analyst
Identity Intelligence Engine · workspaceStarting point set
case · identityno markings
- Start
- Discover
- Compare
- Connect
- Review
What it starts from
- A namewaiting
- A profilewaiting
- An identifierwaiting
- An organisationwaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
Product Walkthrough
0:000:00
What it is
Identity intelligence for information that does not arrive neatly connected
Digital identities are fragmented. The same person or organisation may appear differently across social platforms, public sources, business records and other authorised information sources. Names vary, usernames change, contact information turns up in different places, and organisations connect through several people or digital identities. Looking at each clue separately hides the bigger picture.
Identity Intelligence Engine brings those fragments together. It examines the available identity information, highlights possible relationships and presents connected context for analyst review, rather than asking investigators to trust a single automated match.
What appears connected, what evidence supports the connection, and what should be examined further.
- Relevant identity information from different authorised sources brought into one consistent view
Cross source
Relevant identity information from different authorised sources brought into one consistent view
- Possible connections surfaced between identities that would otherwise appear unrelated
Identity linkage
Possible connections surfaced between identities that would otherwise appear unrelated
- How people, profiles, organisations and associated information may connect
Relationship context
How people, profiles, organisations and associated information may connect
- Automated intelligence supports the investigation rather than replacing professional judgement
Analyst controlled
Automated intelligence supports the investigation rather than replacing professional judgement
How it works
From an identity clue to a connected investigation
- 01
Start with what you know
A name, profile, digital identifier or organisation
- 02
Discover related information
Relevant records organised from connected, permitted sources
- 03
Compare identity signals
Similarities, differences and context examined
- 04
Connect related identities
Aliases, profiles and records brought into one identity view
- 05
Reveal relationships
How identified people, organisations and profiles may relate
- 06
Review the evidence
Each connection shown with the context behind it
- 07
Build the investigation view
An organised workspace for review and authorised reporting
Identity Intelligence Engine · workspace01 Start with what you know
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Start with what you know
A name, profile, digital identifier or organisation
- 02
Discover related information
Relevant records organised from connected, permitted sources
- 03
Compare identity signals
Similarities, differences and context examined
- 04
Connect related identities
Aliases, profiles and records brought into one identity view
- 05
Reveal relationships
How identified people, organisations and profiles may relate
- 06
Review the evidence
Each connection shown with the context behind it
- 07
Build the investigation view
An organised workspace for review and authorised reporting
What sets it apart
Identity resolution built for investigation, not just search
Connect identities across sources
Interface simulation: an illustration of the workflow, not a live analysis
How it compares
More than a lookup. More focused than a general OSINT platform.
Find identity information
- Basic search tools
- Yes: Yes
- General OSINT tools
- Yes: Yes
- Manual investigation
- Yes: Yes
- Identity Intelligence Engine
- Yes: Yes
Bring identity clues together
- Basic search tools
- Partly: Limited
- General OSINT tools
- Partly: Varies
- Manual investigation
- Partly: Manual
- Identity Intelligence Engine
- Yes: Yes
Cross source identity linkage
- Basic search tools
- Partly: Limited
- General OSINT tools
- Partly: Varies
- Manual investigation
- Partly: Manual
- Identity Intelligence Engine
- Yes: Core capability
Relationship exploration
- Basic search tools
- Partly: Limited
- General OSINT tools
- Yes: Often available
- Manual investigation
- Partly: Manual
- Identity Intelligence Engine
- Yes: Integrated
Supporting context for matches
- Basic search tools
- Partly: Limited
- General OSINT tools
- Partly: Varies
- Manual investigation
- Partly: Analyst created
- Identity Intelligence Engine
- Yes: Integrated
Unified identity view
- Basic search tools
- No: No
- General OSINT tools
- Partly: Varies
- Manual investigation
- Partly: Manual
- Identity Intelligence Engine
- Yes: Yes
Human review
- Basic search tools
- Partly: User dependent
- General OSINT tools
- Partly: User dependent
- Manual investigation
- Yes: Yes
- Identity Intelligence Engine
- Yes: Built into the workflow
Structured investigation support
- Basic search tools
- Partly: Limited
- General OSINT tools
- Partly: Varies
- Manual investigation
- Partly: Manual
- Identity Intelligence Engine
- Yes: Yes
The architecture
From fragmented signals to a unified identity view
Deliberately simple: what happens to identity information, without the correlation methods behind it
Authorised information sources
Permitted sources only
Public, organisational or connected sources the team is authorised to use
Identity discovery
Identity discovery
Organised around the investigation
Potentially relevant records, profiles and identifiers gathered in one place
Identity correlation
Identity correlation
Which records may be related
Available information examined for meaningful relationships, not treated as proof
Relationship context
Relationship context
The wider relationship view
- People
- Profiles
- Organisations
- Other relevant entities
Analyst review
Analyst review
Presented with supporting context
Potential identity relationships examined by an authorised analyst before they are relied on
Designed around controlled access
Access, investigation scope and data handling stay aligned with organisational governance requirements.
Identity decisions stay with the analyst
- Unified identity viewValidated findings organised into one clearer picture
- Authorised reportingA basis for further authorised analysis and reporting
Evidence and trust
Identity intelligence should explain why a connection matters
- Potential connections arrive with the information that explains why the relationship was surfaced
Supporting context
Potential connections arrive with the information that explains why the relationship was surfaced
- Incomplete or conflicting information stays open for investigation instead of becoming silent certainty
Uncertainty awareness
Incomplete or conflicting information stays open for investigation instead of becoming silent certainty
- Analysts review significant identity relationships before they are used for consequential decisions
Human validation
Analysts review significant identity relationships before they are used for consequential decisions
- Important investigation activity is kept as a structured record of how an identity view developed
Traceable investigation
Important investigation activity is kept as a structured record of how an identity view developed
Sensitive identity information can be restricted according to organisational roles and responsibilities, and the platform should be operated under applicable privacy, data protection, investigation and organisational policies.
Use cases by sector
Where fragmented information hides the bigger picture
Banking and financial services
Identity context across authorised sources when reviewing suspicious applications, connected parties or unusual account activity, complementing established KYC, AML and fraud controls rather than replacing them.
How the sector deploys itLaw enforcement and investigations
Organise incomplete clues: a name in one case, a social profile in another, an organisation in a third, into a more connected investigation view.
How the sector deploys itCorporate investigations
Structure scattered information in authorised cases involving impersonation, misconduct, conflicts of interest or suspicious external relationships.
How the sector deploys itTrust and safety
Investigate possible connections between profiles and digital identities that appear unrelated when viewed individually, and understand coordinated or repeated activity.
How the sector deploys itDue diligence and compliance
Establish whether records found across different sources refer to the same underlying person or organisation, while preserving the need for human verification.
OSINT investigations
A focused identity resolution layer for open source work that produces large numbers of disconnected results.
Deployment strategy
Introduce identity intelligence without losing control of sensitive information
01 · Define the investigation scope
Interface simulation: an illustration of the workflow, not a live analysis
What it has to get right
Accuracy, context, privacy and human judgement
Four things identity intelligence has to get right.
- Identity is more than a matching name
- Names, usernames and other identifiers overlap. Reliable identity intelligence examines the wider context before suggesting that two records belong to the same person or organisation: connected evidence rather than one field alone.
- A connection needs an explanation
- Analysts should be able to understand why two identity records appear related, so useful context is presented alongside a potential relationship instead of an unexplained result.
- Personal information needs protection
- Identity intelligence involves sensitive personal information. Organisations need control over who can investigate, what information can be used and how long findings are retained, with privacy and governance in place from the beginning.
- AI should assist, not accuse
- Automated analysis can highlight patterns a person would take much longer to find. It should not decide that someone is fraudulent, criminal or responsible for an activity: consequential conclusions stay with authorised professionals.
Frequently Asked Questions
A cross platform identity resolution and linkage solution that helps authorised investigation teams connect fragmented identity information, so analysts can see whether records found in different places may relate to the same person, profile or organisation.
Determining whether different pieces of information may refer to the same underlying identity. Where an investigator finds several records or profiles that look related but carry different information, the platform organises and compares those signals for review.
Not in the traditional sense. A people search focuses on finding records; this focuses on understanding the relationships between identity information already available to an authorised investigation.
Yes. Cross platform identity linkage is a core purpose. Where suitable and authorised information is available, records appearing across different sources can be examined for connected identities.
No. A surfaced relationship is investigation intelligence that requires context and review. Similar information does not prove that two records belong to the same individual.
No. It identifies and organises possible relationships, but significant conclusions should be reviewed by an authorised person.
It should be configured around information the organisation is lawfully authorised to access. It is not a mechanism for bypassing privacy controls or obtaining restricted information.
SocialIntel Analyzer investigates publicly visible social media activity across supported platforms. Identity Intelligence Engine focuses on identity resolution and cross source linkage. They are complementary within a broader OSINT environment.
This resolves identities and their relationships; AML Intelligence is for financial crime and transaction pattern analysis. Keeping them separate keeps each purpose clear while identity context can support authorised downstream investigations.
Identity linkage gives useful context where investigators are examining fragmented or inconsistent identity information. Specialised synthetic identity fraud detection should still be treated separately: not every identity mismatch indicates fraud.
No. It provides identity correlation and investigation context. Formal verification, KYC, regulatory screening and authentication should continue to use the organisation's dedicated processes and controls.
Yes. Identity investigations involve sensitive information, so controlled organisational deployment is part of the design. Specific arrangements follow the organisation's security, privacy and operational requirements.
The rest of the line
More in TrustShield OSINT
Where it runs
Industries deploying Identity Intelligence Engine
Each sector page covers the threat model, the controls, and the regulators that apply.
Connect fragmented identity signals into one clearer picture
Have a solutions engineer walk your team through an investigation, from a single identity clue to a connected identity view your analysts can review.