Device Intelligence
RASP-compliant device fingerprinting, root/jailbreak/tamper detection, and device-to-user graph mapping for mobile and web apps — built to NPCI2025-26IS003 and CSIRT-Fin guidance from day one.
AML Case Investigation
Mule-account graph detection, investigator case workflows, and a self-learning model that improves from every analyst decision via backtesting and a feedback loop.
Why two products, one platform
Device Intelligence answers “is this device/session trustworthy right now” at the point of a transaction or login. AML Case Investigation answers “does this account’s behavior, over time and in the context of its network, look like money laundering.” They’re built on shared infrastructure — the same device and transaction graph feeds both — but they solve different problems for different teams: fraud/risk engineering integrates Device Intelligence directly into the app; compliance and AML analysts work inside the Case Investigation console.Start with Device Intelligence
SDK integration, RASP detection, API authentication, and webhook payloads.
Start with AML Case Investigation
Mule graph detection, case workflows, and the self-learning feedback loop.
About InsightAI
InsightAI Technologies builds under two brands:insightai.in
Corporate site — company info, product overviews, and contact.
insightsecure.ai
Product site for the security/device-intelligence line, including the live DI Dashboard.