Why due diligence is being redefined.
A recent investigation by The Sunday Times and Bellingcat should give anyone working in due diligence cause to pause.
Using open-source intelligence techniques, journalists identified two individuals linked to the Kinahan cartel sitting openly in the VIP section of a 6,000-person MMA event in Dubai.
There were no leaks, no insiders and no privileged access. Instead, they worked with what was already available, public data. Images, video, social media, fragmented signals, analysed and connected to build a clear picture.
The conclusion is important. The risk wasn’t hidden. It simply wasn’t surfaced.
Due diligence is entering a new phase
This is not about journalism. It is about expectation.
The combination of AI, OSINT, and advanced data analysis is fundamentally changing what “reasonable” due diligence now looks like.
Technologies such as entity resolution, network analysis, and image intelligence are turning vast volumes of unstructured public data into coherent, evidence-backed insight. What was once the domain of specialist investigators is rapidly becoming baseline capability for regulated firms. And that has consequences.
The uncomfortable truth: most due diligence hasn’t kept up
Despite the shift, the reality inside many organisations is unchanged:
Manual searches across fragmented sources
Copying and pasting findings into reports
Screenshot-based evidence gathering
Outsourced reports that are static and difficult to defend
This isn’t just inefficient. It’s exposed, because the issue is no longer whether checks are performed. It’s whether they are robust, consistent, and defensible under scrutiny.
At a minimum, LPs will expect firms to demonstrate that:
AML and KYB processes
UBO and PSC identification
Governance and senior appointment checks
Enhanced due diligence expectations
Increasingly, firms are expected to demonstrate, not assume, that they have done enough.
As we see across the market, manual, fragmented research does not stand up well in audit conditions.
Screening is not intelligence
Most compliance infrastructure today is built around screening.
Sanctions lists. PEP databases. Watchlists. These are necessary but they are not sufficient. They generate alerts, not understanding.
When real judgement is required, whether onboarding a client, approving a director, or progressing a deal, teams are forced into manual investigation. The data is disconnected, the process is inconsistent and the outcome is often subjective.
This is where risk accumulates, not because firms fail to check, but because they lack structured, decision-ready intelligence at the point of decision-making.
The Kinahan case is not an exception. It’s a signal
The Dubai investigation illustrates something far more significant than a single event.
It shows that:
The data already exists
Risk signals are distributed, not obvious
The limiting factor is the ability to connect and interpret them
For regulated organisations, this shifts the baseline.
If risk signals can be found, there is a growing expectation that they should be.
From investigation to infrastructure
This is the gap YOONO addresses.
YOONO is a deep people intelligence platform built for modern due diligence—transforming fragmented research into structured, audit-ready intelligence.
It brings together data across:
Corporate records and ownership structures
Litigation and legal exposure
Regulatory filings and enforcement actions
Global media and adverse signals
Digital and image-based intelligence
And converts it into a defensible, evidence-backed report in minutes, ****replacing hours of manual work.
Not just faster.
More consistent.
More complete.
And critically it is defensible.
Why this matters now
For financial institutions, fund managers, corporate service providers and law firms, the implications are immediate.
This is not about efficiency alone. It is about operating at the standard now expected.
Onboarding decisions need to withstand regulatory scrutiny
Governance decisions require deeper visibility on individuals
Deal risk increasingly sits with people, not just assets
Reputational exposure moves faster than internal processes
Firms that rely on fragmented workflows are operating with blind spots.
Firms that adopt structured intelligence gain clarity and control.
A new standard is emerging
Across regulated markets, the direction is clear:
From checks to evidence
From outputs to defensible decisions
From fragmented workflows to structured intelligence
Manual processes cannot scale to meet this standard and increasingly, they don’t need to.
Final thought
The Dubai case proved something simple.
The individuals were visible. The data was available. The signals were there. What was missing was the ability to bring it together. That is now possible, quickly, consistently, and at scale. For firms operating in regulated environments, the question is no longer:
“Can we find this information?”
It is:
“Can we justify not finding it?”