Traditionally, core Risk & Compliance infrastructure has been built on a foundation of a limited set of curated databases. These are scattered across the web and maintained by large teams. This human-centric approach, while industry standard, is inherently error-prone and becomes increasingly unsustainable at web scale.
Most companies have historically focused on specific, regulated datasets (e.g., DOJ, SEC, OFAC), but there’s a vast untapped surface area: crypto exchanges, shell company structures, regulatory investigations, decentralized forums, regional watchdogs, and more.
The future of compliance isn’t about scaling teams – it’s about scaling discovery.
It’s about building systems that can crawl the web, resolve entities, update facts in real time, and construct dynamic databases on the fly. The good news is that modern day technology allows for radical new approaches.
AI agents will be key enablers but true transformation comes from combining historical context, real-time learning and continuous innovation.
Automation isn’t the goal it’s the foundation. Interpretation of data and content still requires human oversight. People must stay in the loop to guide decisions, inject domain knowledge, and unlock new layers of intelligence. Though how long this will be case is an open question: with #AI progressing at warp speed, will it eliminate the need for humans two to three iterations down the line? Only time will tell.
Coming back to risk, much of the tech stack in this space today is fragmented built from loose pipelines and stitched-together software components built on legacy architectures.
This space needs a complete revamp, ground-up engineering of key capabilities:
- Intelligent data locators
- Web-scale data indexers
- On-the-fly information parsing
- Compute infrastructure engineered to extract peak efficiency from today’s hardware
- Blazing-fast entity resolution and probabilistic record linkage algorithms
Who’s solving for this end-to-end today? @RZOLUT certainly is!
Is it hard? Yes.
Is it solvable? Absolutely.
And the ones who do it?
They won’t just use AI they’ll think in AI.