Use case type
Scores and prioritizes risk from data to support faster, more consistent decisions.
100
60
12
19 mo
Adoption over time
By case publish month · completed months only
79 cases documented across 37 months (Jul 23 – Jul 26), peaking at 11 in April 2025.
10 earlier cases before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
10 shown from 100 use cases
Trusta Labs is a Web3 infrastructure company in Hong Kong that builds security and data infrastructure through AI.It uses Alibaba Cloud elastic computing, storage, data management, and analytics services to match on-chain assets with the right users and to support AI-powered Sybil attack prevention, knowledge graph-enhanced profiling, and user targeting.
HSBC built a scenario risk-modelling Risk Advisory Tool on Google Cloud to move high-volume scenario analysis and risk modelling off limited on-premises hardware and accelerate decision support for traders and risk-management teams.The implementation used Google Cloud services including Cloud Storage, Dataflow, and BigQuery.
Delos Insurance Solutions needed to make wildfire-risk underwriting viable for California homeowners who were often considered uninsurable by other carriers.The company built wildfire-behavior and geospatial risk models with Google Earth Engine, then used Colab notebooks and Vertex AI pipelines for model training and deployment, plus Google Maps Platform for a quote-to-buy underwriting portal.The solution let Delos price policies more accurately, offer coverage in high-risk areas, and support agents with a fast online underwriting workflow.
KOHO rebuilt credit infrastructure to assess credit-invisible customers using behavioral data such as rent, utility, and phone payment records.The company built Kortex AI on Amazon Bedrock to extract behavioral insight for underwriting and used AI screen detection to reduce account takeovers.
New York City Cyber Command (NYC3) built a security log aggregation platform on Google Cloud to keep city security systems available 24/7 and support risk alerts, visualization, and analytics for 100+ city agencies.The organization adapted Google’s Site Reliability Engineering model, created an internal SRE team, and trained/cross-trained engineers across development, networking, and operations to improve reliability and supportability.NYC3’s internally developed Juggernaut threat-management system parses real-time cybersecurity data from disparate sources and alerts the team when something seems amiss.
Global bank HSBC launched a new scenario risk-modelling tool on Google Cloud for the risk management and trading teams.The tool supports intraday, self-service scenario analysis and helps users assess portfolio risk, capital requirements, and default-risk exposure.
eSentire used Anthropic Claude in Amazon Bedrock to augment its managed detection and response security operations.The system formulates investigation hypotheses from threat indicators, dynamically selects and executes evidence-gathering tools, and produces interactive investigation reports with evidence and reasoning chains.The company validated model outputs against senior SOC experts and uses AWS services including Lambda, API Gateway, IAM, and CloudWatch to support the production workflow.
Nasdaq implemented AWS generative AI to improve market surveillance for regulators and marketplaces globally.The solution streamlines triage and examination, helping clients more effectively monitor and detect potential market manipulation and insider dealing.The source also describes additional capital-markets applications for anti-money laundering, fraud prevention, and Entity Research Copilot workflows at Nasdaq Verafin.
Human Managed built its I.DE.A. platform to unify intelligence, decisions, and actions across more than 40 telemetry sources into a single framework for near-real-time risk and security decisions.The company is expanding AWS usage to integrate Amazon Bedrock into its MCP framework for enterprise generative AI agents that support summarization, contextual querying, cross-source analysis, decision support, and risk/compliance automation.
Landbay is a UK financial technology company that operates a peer-to-peer lending platform for buy-to-let mortgages.The company replaced spreadsheet-based reporting with Looker on Google Cloud to give internal teams, auditors, and clients trusted self-service access to consistent data.Looker supports real-time portfolio stratification and automatically generated lender-specific reports, helping Landbay scale data-driven decision-making and underwriting oversight.
Common questions
