What Is OSINT? How Open-Source Intelligence Is Used in Fraud Investigations
Fraud investigations increasingly begin with a simple question: what can be discovered from information that is already publicly available?
Websites, company records, social media, news reports, online marketplaces, images, maps and other public sources can all provide useful pieces of information. When those pieces are collected, evaluated and analysed systematically, they can contribute to what is commonly known as open-source intelligence, or OSINT.
OSINT can help investigators identify connections between people, companies, addresses, websites and other entities. It can also help corroborate information, identify new lines of enquiry and build a clearer picture of how suspected fraud operates.
But OSINT is not simply searching Google or looking through someone's social-media profile. The intelligence comes from how information is collected, evaluated, connected and verified.
 |
| OSINT combines publicly available information from multiple sources to identify connections, corroborate evidence and develop investigative leads. |
What is OSINT?
OSINT stands for open-source intelligence.
In investigative contexts, it generally refers to intelligence developed from information that can lawfully be obtained from publicly available or otherwise accessible open sources.
Possible sources include:
- websites and search engines
- company and corporate records
- government open-data sources
- news archives
- social-media platforms
- online forums
- advertisements and marketplaces
- maps and geospatial information
- photographs and videos
- domain and website information
- public documents and reports
The important distinction is between information and intelligence.
Finding a social-media account is information. Analysing that account alongside company records, addresses, dates and other sources to establish a meaningful connection can produce intelligence.
Why OSINT matters in fraud investigations
Fraud rarely exists in isolation.
A suspicious website may be connected to a company. A company may be connected to an address. That address may appear in several other businesses. A telephone number or email address may appear elsewhere online. Images used to promote an investment opportunity may have originated from an unrelated website.
Individually, these pieces of information may reveal very little.
Together, they can expose relationships that deserve further investigation.
UK government counter-fraud guidance recognises both government open data, including sources such as Companies House, and open-source internet information as potential sources investigators may consider during an investigation.
OSINT can help identify digital connections
One of the most useful applications of OSINT is identifying relationships between apparently separate entities.
An investigator might begin with a single indicator such as:
- a company name
- website
- email address
- telephone number
- username
- physical address
- image
- social-media profile
Research may reveal additional identifiers.
For example, a website could lead to a company name. Corporate records could reveal directors or previous addresses. Those addresses might connect to other businesses. Archived web material might show that apparently unrelated websites once contained identical contact information.
This process can gradually transform isolated data points into a network of relationships.
Company records can provide valuable context
Corporate information can be particularly useful when investigating suspected business or investment fraud.
Public company records may help establish:
- when a company was incorporated
- who its officers are
- its registered address
- previous company names
- filing history
- links to other companies
However, the existence of a registered company should never be treated as proof that an investment, website or business proposition is legitimate.
Public records provide evidence about particular facts. Investigators still need to determine what those facts mean in the wider context.
Social media can provide investigative leads
Publicly accessible social-media content can reveal usernames, relationships, locations, businesses, interests, photographs and other potentially relevant information.
But social-media evidence requires caution.
Profiles can be fake. Photographs can be stolen. Dates can be misleading. Accounts can be compromised, and increasingly, images, voices and video can be generated or manipulated using artificial intelligence.
The Public Sector Fraud Authority's Intelligence Hub privacy notice, for example, identifies publicly accessible social-media content and open-source news sites, blogs and web pages among information that may be processed as part of fraud allegation reviews and intelligence activity.
This demonstrates why publicly available digital information can be valuable—but also why it needs to be handled systematically.
Images can reveal more than they appear to
Images can sometimes provide investigative clues that are not immediately obvious.
Potential indicators may include:
- landmarks
- street signs
- business names
- vehicle details
- architecture
- reflections
- weather conditions
- image reuse
- visible usernames or identifiers
Reverse-image searching can sometimes reveal that an image supposedly belonging to one person or organisation appeared elsewhere previously.
This can be particularly useful when examining fake profiles, impersonation scams, fraudulent advertisements or questionable investment promotions.
Image analysis should still be treated as one source of information rather than definitive proof by itself.
Location intelligence can help test claims
Geolocation is another important area of open-source investigation.
Maps, satellite imagery, photographs and publicly available geographic information can sometimes help determine whether a claimed location is consistent with available evidence.
Suppose a business claims to operate from a particular address.
An investigator might examine public records, mapping information and other sources to understand what is actually associated with that location.
Again, the objective is not simply to find information. It is to test a claim against independent sources.
OSINT is particularly powerful when combined with link analysis
Fraud investigations often involve networks rather than individual actors.
A network might contain:
- people
- companies
- bank accounts
- websites
- email addresses
- telephone numbers
- cryptocurrency addresses
- physical addresses
- devices
- social-media accounts
Link analysis helps investigators examine the relationships between these entities.
OSINT can contribute additional information to that network and potentially reveal connections that were not visible from transaction data alone.
This is one reason OSINT fits naturally alongside fraud analytics and data analysis.
Public information is not automatically reliable information
One of the biggest mistakes in open-source investigation is assuming that information is accurate simply because it is publicly available.
It may be:
- outdated
- incomplete
- misleading
- incorrectly attributed
- deliberately fabricated
- taken out of context
College of Policing guidance specifically warns that open-source information may not be accurate, reliable or valid and recommends corroborating it using another source rather than relying on open-source material alone.
Corroboration is therefore fundamental to good OSINT practice.
Verification matters more than collection
Collecting hundreds of pieces of information does not necessarily produce a strong investigation.
Investigators need to ask:
Where did this information originate?
Is the source reliable?
Can the information be independently corroborated?
Could there be another explanation?
Is the information current?
What does it actually prove?
The Government Counter Fraud Profession's intelligence standards similarly recognise that open-source information may initially be untested and should be treated with appropriate caution until it can be corroborated.
The objective is not to collect the largest amount of information. It is to develop the most reliable intelligence picture possible.
OSINT also requires an audit trail
Digital information can disappear.
Web pages change. Social-media posts are deleted. Accounts disappear. Company websites are redesigned.
For investigative work, documenting where information came from and when it was obtained can therefore be important.
College of Policing guidance states that an audit trail should be maintained where open-source research may be used evidentially.
Good documentation also makes analysis easier to review and helps distinguish established facts from assumptions or investigative hypotheses.
Legal and ethical boundaries matter
The word open in open-source intelligence does not mean that investigators can collect or use information without restriction.
Data protection, privacy, surveillance rules, organisational policies and other legal requirements may apply depending on who is conducting the investigation and why.
The College of Policing describes internet intelligence investigation as the lawful collection of publicly available information and notes that investigators must operate within relevant legislation and guidance.
Responsible OSINT therefore requires both technical skill and professional judgement.
OSINT should support an investigation, not replace one
OSINT is most valuable when combined with other evidence.
That might include:
- transaction data
- financial records
- internal organisational information
- witness accounts
- device information
- authorised databases
- fraud reports
- other intelligence sources
A compelling online connection may provide an excellent lead, but investigators still need to determine whether the connection is genuine and relevant.
OSINT should help investigators ask better questions—not encourage premature conclusions.
AI is changing OSINT as well
Artificial intelligence can increasingly assist with tasks such as summarising large volumes of information, identifying entities, analysing text, translating material and finding patterns across datasets.
But the same technology also complicates open-source investigation.
Synthetic photographs, deepfake videos, AI-generated websites and fabricated profiles can introduce convincing false information into the open-source environment.
This creates a growing challenge for investigators: discovering information is becoming easier, while determining whether that information is authentic may become harder.
The future of OSINT in fraud intelligence
Fraud is increasingly digital, international and interconnected. The UK's 2025 National Assessment Centre fraud assessment describes a fraud threat that is increasingly technology-enabled and international, making intelligence from multiple sources increasingly important to understanding threats and methods.
OSINT provides investigators with another way to build that intelligence picture.
Its real strength is not any individual search engine, database or investigative tool.
It is the disciplined process of finding information, evaluating its reliability, connecting it with other evidence and using it to answer investigative questions.
The internet contains an enormous amount of information. The investigator's job is to determine which parts can actually be trusted—and what they prove.
Comments
Post a Comment