What is public about them tells a story. Do you know how to read it?
Kavuka OSINT is digital investigation with a method: open sources + Brazil’s deepest data — ownership, judicial and registry — in a single graph, with assisted pivoting and evidence preserved with chain of custody.
- Minutes
- to the link graph
- Open + Kavuka
- integrated sources
- Chain of custody
- usable evidence
- Lawful method
- documented and auditable
Investigations in production mapping fraud networks, brand clones and digital infrastructure — open sources cross-referenced with Kavuka data, with preserved evidence and a documented method.
You are fighting a network with single-case tools.
The ring treated case by case
Fraud operates as a network — the same email in five scams, the same domain reused — but it is seen as ten isolated events, and the operation behind it keeps running.
Investigation in 40 tabs
Manual collection across dozens of tabs, loose screenshots and findings with no documentation standard — work that does not scale and, without a method, is legally useless.
The proof that existed and was not preserved
The evidence was in an open source and was not preserved in time, or was collected without governance — risk of unlawful evidence and data-protection exposure instead of a solid case.
Cost The cost of inaction is silent: the ring that survives because each fraud was handled alone; the clone site harvesting your customers for months until a victim warns you; and the proof that existed in an open source, lost because no one preserved it with a method.
From any point to the whole network, with a method.
- 01
Start
Begin from any point: a name, a tax ID, an email, a domain or a phone number.
- 02
Pivot
Assisted pivoting: suggested connections between open sources and Kavuka data — from email to domain, from domain to company.
- 03
Build the graph
The network becomes visible: people, companies and digital infrastructure connected — the ring seen as an organization.
- 04
Document
Every finding preserved with source, date and method — evidence ready for legal, with chain of custody.
The digital investigation engine
One platform cross-references open sources with Brazil’s deepest data and returns the assembled story: the entities, the connections and the evidence — ready to decide and to litigate.
Link graph
People, companies and infrastructure connected
Assisted pivoting
From email to domain, from domain to company
Brazil’s deepest data
Ownership, judicial and registry data integrated
Digital footprint
Presence, real activity and inconsistencies
Brand protection
Clones, fake profiles, ads and phishing
Digital infrastructure
Domains, emails and phones reused
Chain of custody
Source, date and method preserved
Lawful method
Legal sources, no intrusion or deception
Who investigates with Kavuka OSINT
Fraud & Security teams
Mapping the network behind the cases: the ring seen as an organization, not as scattered events.
Due Diligence & Risk
The digital front of the dossier: footprint, inconsistencies between the declared and the observable, and non-obvious connections.
Marketing & Brand Legal
Active sweep for clones, fake profiles, irregular sales and phishing using your identity, with takedown support.
Legal & Asset Recovery
Public signals of assets and activity for litigation, with evidence in condition for procedural use.
The OSINT your legal team approves
Lawful OSINT is not about what can be found — it is about how it is found. The Kavuka method operates only on public or legitimately accessible sources, with a legitimate purpose, data-protection compliance and every collection documented. Governance is the differentiator, not an afterthought.
- Public or legitimately accessible sources: no system intrusion or unauthorized access.
- Prohibition of intrusive and deceptive methods — no fake profiles (sock puppets) to extract information.
- Processing per data-protection law: legitimate purpose, minimization and adequate legal bases.
- Per-finding chain of custody: source, date, method and preservation documented.
- Forensic support when the case requires it, for procedural use of the evidence.
What looked like ten isolated scams became a single graph: the same network behind it all. That is when our defense stopped being reactive.
We found three clone domains selling under our brand before any customer complained. The takedown happened within the week.
For the first time the finding reached legal with source, date and method. It became part of the case, not a loose screenshot.
Bring a real case. We build the graph in front of you.
In a live investigative demo, you see the pivoting and the network lighting up on your own scenario.
- For businesses only. No purchase commitment.
- Data used solely for commercial contact.
- Enterprise leads answered within 1 business day.
What OSINT is and how to apply it with a method
OSINT (Open Source Intelligence) is the discipline of collecting, connecting and analyzing information from open sources — public records, the web, social media, domains and digital infrastructure, public leaks, marketplaces and media — to turn scattered data into actionable intelligence. It is not a one-off Google search: it is a method that starts from any point (a name, a tax ID, an email, a domain) and pivots across sources until the full story is assembled, with lawfulness and documentation at every step.
In the Kavuka portfolio, OSINT is the digital investigation engine: the layer Due Diligence uses to deepen the dossier, anti-fraud uses to map rings, and brand protection uses to find what circulates about the company. It works on five fronts — people and companies (digital footprint, real presence, inconsistencies between the declared and the observable); digital infrastructure (domains, clone sites, reused emails and phones); networks and rings (the relationship graph that links isolated cases into an operation); brand and product (misuse, fake profiles, irregular sales, phishing); and assets and litigation (public signals of assets and activity for litigation).
The link graph is the language of the category: investigation is sold and understood by showing connections, not lists. Established international tools set this graph-analysis standard, with entities connected through data integrations. But a tool without data is a map without territory — and Kavuka’s differentiator is the native integration with Brazil’s deepest data: ownership, judicial and registry. It is this combination of open sources with the local base that takes pivoting from the shallow (a public profile) to the deep (the company, the ownership structure, the undeclared tie). AI assisting the analyst in pivoting is the frontier: it absorbs the sweeping load and suggests connections, while the investigator focuses on judgment.
OSINT and legality are not opposites — but the line is thin, and crossing it burns the case. Lawful OSINT operates only on public or legitimately accessible sources, with no system intrusion and no deception (no sock puppets, the fake investigation profiles), with a legitimate purpose and data-protection compliance. Above all, it preserves evidence with chain of custody: source, date, method and preservation documented, so the open-source finding reaches legal in condition for procedural use. The result is the OSINT legal teams approve: internal triage with a method for the cases that deserved it, leaving external investigation only for what requires fieldwork — and the story that was public, finally assembled, with method and validity.
What is OSINT?
OSINT is open source intelligence: the structured collection and analysis of public information — records, the web, social media, domains, media — to turn scattered data into actionable intelligence, with a method and lawfulness. At Kavuka, it is the digital investigation that cross-references open sources with Brazil’s deepest data in a single graph.
Is OSINT legal?
Yes, when done right: public or legitimately accessible sources, no intrusion, no deception (no fake profiles), a legitimate purpose and data-protection compliance. The Kavuka method documents every collection — it is the OSINT legal teams approve, not the improvised search that burns the case.
What is the difference between OSINT, Background Check and Due Diligence?
Background Check queries structured bases at scale; Due Diligence is the analytical dossier for relevant decisions; OSINT is the digital investigation front — the footprint, the infrastructure and the connections in open sources. OSINT feeds the other two: it is the engine of Due Diligence and the investigation layer of anti-fraud.
Does it work to find fake sites and profiles of my brand?
Yes. The brand-protection sweep covers lookalike domains, fake profiles, irregular ads and phishing using your identity, with continuous monitoring and takedown support — finding the clone before the harmed customer does.
Can the findings be used as evidence?
Collection follows chain of custody: source, date, method and preservation documented — the material reaches legal in condition for procedural use, with forensic support when the case requires it. It is the difference between a loose screenshot and a piece that holds up in the case.
How does OSINT reveal a ring operating as a network?
Through the link graph. Starting from any point — an email, a domain, a name — assisted pivoting connects entities across open sources and Kavuka data, and the network appears: the same email in several scams, the reused domain, the shared ownership structure. The operation that looked like ten isolated cases becomes a visible organization.
Do you offer it as a platform or as a service?
Both. The platform is assisted OSINT over the Kavuka graph and open sources, for internal teams (per-analyst subscription + volume). The service is OSINT investigation delivered as a dossier, integrated with Due Diligence (on demand). Internal triage keeps the method; external work is reserved for what requires fieldwork.
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