InsightGen - Accelerating Trade Surveillance Communication Analysis
HCLTech · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
- Trade and Communication surveillance in financial institutions is a vital function, designed to detect and mitigate risks that threaten the integrity of financial markets. Financial institutions monitor all trading and financial transactions to identify detect insider trading, market manipulations and regulatory breaches.
- While the trade surveillance system generates alerts based on bank’s internal rule engine, these alerts are worked upon by risk analysts who must perform deep-dive manual research on the generated alerts and put closure notes to close them.
- One of the key challenges is to connect alerts and suspicious trading activities with supporting evidence hidden within vast data, news and communication archives.
- Risk analysts often perform deep-dive investigations manually, struggling to connect alerts with relevant evidence hidden in vast data archives—leading to slower resolutions and increased regulatory and reputational risk. InsightGen is an AI-enabled system that accelerates Trade Surveillance Alert Investigation by automatically correlating and summarizing the trade surveillance alerts with communication data (emails, chats & voice) and streamlines investigation from start to finish and helps uncover Trading violations with Speed and Precision
The core product capability includes:
Show the rest of the publisher’s description (11 more lines)
- Alert-Driven Evidence Discovery: When a trade surveillance alert is generated, automatically search communication repositories for related evidence
- Temporal Correlation: Identify and sequence communications before and after flagged trading activity
- Contextual Relevance Scoring: Rank communications by likelihood of being related to suspicious activity
- Evidence Packaging: Present related communications alongside trading data for efficient investigation
- Alert Analysis & Summarization: Interpret and Summarize alert to highlight the rationale, associated traders (through network analysis)
- Automated Report Generation: Creates Closure, Escalation and other Regulatory Reports
The above capability is enabled through the following product functionality
- Correlation Engine - Gen AI Framework to Correlate Alerts against communication data and trading events performing temporal analysis, contextual relevance scoring & summarization.
- InsightGen UI - An intuitive interface that enables efficient presentation of evidence to support investigation, analysis, and summarization, concluding with clear closure notes
- Synthetic Data Generator - Gen AI Framework to create synthetic market abuse alerts, associated order & trade data, communication data and market data to test simulate new/emerging scenarios that helps fine-tune Correlation Engine and also helps establish Trade and Communication Surveillance effectiveness.
This solution leverages Amazon SNS, AWS Lambda, AWS Bedrock Agents, AWS App Runner, Amazon API gateway
Highlights
Highlighted by the publisher on AWS Marketplace.
Alert Visualization Agent sequences and reconstruct events leading up to alert with a risk indication score and priority flag along with an event sequence graph indicating the critical events correlated with trading and communication events. Solution also visualizes potential collusion in a network graph
Alert Summarization Agent analyzes related trades, emails and news to detect patterns indicating potential manipulation and flagging discussions like upcoming flow for review. This greatly reduces manual data collection and analysis effort helping analyst focus on the most critical information reducing noise and manual effort
Alert closure agent documents findings & summarizes key actions reducing manual effort and promoting consistent reporting. The automated reports enable deployment of self-learning agents to fine-tune processes and rules for reducing noise and improving overall efficiency and effectiveness
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-07-01
Sources
Linked repositories
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