2026 is already shaping up to be a demanding year for compliance teams, with AML teams already thinking about AMLR 2027 and MAR teams coping with increasing market volatility.
So it feels like a good time to share some highlights from Trapets’ big package of new product releases for 2026.
At Trapets, we focus on building tools that make day-to-day compliance work easier, helping you:
- Navigate and prioritise in large volumes of alerts and data
- Work with clearer, more relevant signals across monitoring and screening
- Investigate activity across transactions, customers, and markets in a more consistent and unified way
These priorities are reflected directly in this release, from AI-based alert prioritisation and improved surveillance precision to a new Workspace that reduces manual setup and supports more consistent investigations.
The upgrades will make a true difference for any compliance team, making your daily work more efficient, improving your monitoring precision, and increasing the trust in your data.
Let’s have a look at some of the highlights:
A new Workspace for monitoring and investigations
We're introducing a new Workspace that gives investigators a more flexible starting point for their daily work.
In many compliance teams, work is spread across multiple views, tools, and configurations.
Investigators often spend time setting up their environment, switching between screens, or recreating views, which slows down investigations and makes it harder to maintain consistency across teams.
The new Workspace is designed to address this by reflecting how teams actually work today, where collaboration, consistency, and speed all matter.
- Shared workspaces allow teams to work in a consistent environment without duplicating setup
- Role-based customisation means investigators can adapt their own views without affecting others
- Pre-configured workspace layouts reduce the time spent setting up and rebuilding views each session
The Workspace is being introduced alongside the existing dashboard, which will be phased out in a later release.
AI that helps prioritise alerts
Alert volume remains one of the biggest challenges for compliance teams. Large volumes of alerts are often generated using broad rules, meaning investigators must review many cases that turn out to be low risk.
We have expanded our AI-based alert relevance model (beta) to include additional alert categories, including factoring alerts and Suspicious Activity Reports. The model uses historical investigation patterns and risk indicators to assess which alerts are more likely to require further action.
This gives you:
- Expanded coverage, which means prioritisation now applies across a larger part of the investigation workflow
- Ranking based on historical patterns and risk indicators that help you identify higher-risk cases faster
- Relevance-based scoring, which reduces time spent reviewing low-priority alerts while maintaining full visibility
Rather than replacing existing controls, this adds a layer of prioritisation on top, helping you focus your efforts where they have the most impact while maintaining full visibility of all alerts.
Improving the quality of monitoring and screening
A key part of reducing workload is improving what gets flagged in the first place.
In practice, alert noise is often caused by inconsistent data, broad matching logic, and differences in how information is formatted across sources. This can lead to large volumes of alerts that require review but add limited value.
We have introduced several updates to improve monitoring and screening precision:
- The Exact Match operator ensures that only full keyword matches are flagged, reducing noise from partial or unrelated matches
- Expanded fuzzy date-of-birth matching makes it possible to detect relevant matches even when data contains small inconsistencies
- Rounded keyword hit ratings make match scores easier to interpret and more consistent when used in downstream systems
Together, these changes improve the balance between detection and relevance. In addition, it is now possible to do real-time screening of the counterparty in all transactions, a key requirement for Eurozone SEPA Credit Transfers.
Clearer adverse media results
We've also strengthened our adverse media offering in collaboration with our data partner ION.
Adverse media is a key input for identifying potential risks early, often highlighting issues not reflected in sanctions lists or formal registers. This makes it an important source for both onboarding and ongoing monitoring.
The goal of our latest updates is to make results easier to understand and quicker to act on:
- Structured risk keywords provide immediate context, making it easier to assess relevance at a glance
- Short English summaries reduce the time needed to review source material
- Clear publication dates make it easier to judge how current the information is
- Additional entity identifiers improve matching accuracy and reduce the risk of missed or incorrect links
More precise market surveillance
In fast-moving markets, multiple orders and trades can occur within the same second, making it difficult to determine what actually happened and in what order.
We have introduced more granular timestamps in Monitor and Replay to give you a more accurate view of event sequences:
- Millisecond timestamps make it possible to see the exact sequence of trades and orders, even within the same second
- Higher time resolution allows you to analyse activity across very short intervals where patterns might otherwise be missed
- Updated statistics views provide a broader context across instruments, traders, and time
This makes it easier to reconstruct events and investigate high-frequency activity with greater confidence.
Looking ahead
These updates are part of a broader effort to improve signal quality, reduce manual effort, and support more effective investigations across the entire compliance workflow.
This is a small selection of the latest updates and ongoing development across Trapets’ AML and MAR solutions.
We will continue building on this foundation in upcoming releases, so stay tuned for more.