SteelEye’s Compliance CoPilot now has LLM support.
Trade surveillance provider SteelEye reports that it has made A.I.-based enhancements to Compliance CoPilot via large language models (LLMs) that provide analysis and actionable insights for compliance officers.
The added decision-making capability is intended to target wrongdoers that “adopt increasingly sophisticated market manipulation tactics,” officials say.
The enhanced Compliance CoPilot “enables analysts to prioritize high-risk alerts, investigate alerts more efficiently, and streamline the overall alert review workflow — reducing review time by up to 90 percent,” according to SteelEye officials.
Clients have already deployed the solution for communications surveillance since November 2023, officials say. The solution “offers alert scoring, prioritization, and clear explanations of why alerts are triggered. It also provides recommendations for categorizing and resolving alerts, complete with rationale.”
The Compliance CoPilot can be integrated into SteelEye users’ existing workflow, officials add.
“There can be no downplaying the amount of strain compliance staff are under across the industry, with most teams overwhelmed by volumes of suspicious trading alerts to address each day,” says Matt Storey, chief product officer at SteelEye, in a prepared statement.
“The ability to prioritize the most important ones could prove essential to bolstering firms’ risk management practices in this context, ultimately helping staff to review and action more alerts. The Compliance CoPilot will ensure compliance teams operate more effectively and proactively and should become the go-to side kick for surveillance officers,” Storey says.
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