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Finance

Intelligence for Trusted Finance

Securing Trust in the Financial System Through Intelligence

Accelerating Secure Financial Decisions

Transforming complex financial data into actionable insights

To help financial institutions make faster, more accurate judgments in the AI era, we support risk response and decision-making with data-driven intelligence.

Market Dynamics & Trends

Financial Intelligence
Under AI, Regulation & Cyber Risk

A financial industry landscape reshaped by AI, regulation, and cyber risk

Cyber Security
ISSUE

Cyber ResilienceBecomes a Core Banking Strategy

As digital transformation and cloud adoption widen the attack surface, financial security strategy is shifting toward securing the continuity and resilience of core services.

Share of financial institutions planning to expand their cybersecurity budgets in 2026

76%

ICA, Top 10 Cybersecurity Breaches of 2025

Share of organizations (banking and capital markets) that perceive their cloud threat response as insufficient

32%

National Defense Magazine <Vital Signs 2026>

ISSUE

AI-driven Fraud & Identity Attacks

AI-powered Financial Attacks

AI-enhanced credential theft attacks and the automation of financial crime

Generative AI is refining phishing, deepfake, and social engineering attacks, while stolen accounts and virtual asset-based money laundering are raising the risk of bypassing existing detection frameworks.

PwC, 2026 Cybersecurity Outlook: Financial Services

CASE

The $1.5B Heist

A $1.5 billion theft from global cryptocurrency exchange B

The largest cryptocurrency theft on record and money laundering by North Korea's Lazarus group.

The largest cryptocurrency theft on record and money laundering by North Korea's Lazarus group. The theft of $1.5 billion in Ethereum from Dubai-based exchange B reveals the importance of an integrated security framework in an environment where digital assets and traditional finance are connected.

Value of stolen virtual assets

$1.5B

ICA, Top 10 Cybersecurity Breaches of 2025

CASE

Third-Party Data Breach

An external database breach at global financial firm S

Dormancy and data theft exploiting a third-party hosting vulnerability outside core banking

A breach at global financial firm S exposed a third-party hosted database. It underscores the need for visibility and access control across supply chain and cloud assets beyond core banking.

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Strategic Data Intelligence
ISSUE

AI Governance Readiness in the Agentic Era

As agentic AI spreads into financial work, the governance capability to manage model reliability, accountability, and auditability is emerging as a key competitive advantage.

Share of financial firms with intermediate or higher AI operations and management maturity

63%

McKinsey, State of AI Trust in 2026: Shifting to the Agentic Era

ISSUE

Context Blindness Behind Compliance Failures

Scattered customer, transaction, and risk data makes integrated analysis of anomalous transactions and money laundering flows difficult, increasing the compliance risks of financial institutions.

Global financial crime regulatory enforcement fines in H1 2025

$1.23B

GARP, Surging Regulatory Fines: How Risk Leaders Can Rise to the Challenge

Year-over-year increase in financial crime fines in H1 2025

417%

GARP, Surging Regulatory Fines: How Risk Leaders Can Rise to the Challenge

ISSUE

Single Customer View for AI-driven Banking

As customer, transaction, product, and risk data become scattered across organizations, building an integrated customer view for personalized services and AI-driven decision-making is emerging as a key challenge in finance.

Share citing "data quality" as the biggest challenge in AI/ML adoption

48%

Wolters Kluwer, Q1 2026: Banking Compliance AI Trend Report

CASE

Historic AML Monitoring Failure

The U.S. Department of Justice (DOJ) imposed a large fine on Company T on charges of facilitating money laundering by omitting 92% of its transaction data from monitoring, revealing the risks of gaps in data connection and transaction monitoring.

Share of transactions excluded from automated monitoring, 2018-2024

92%

U.S. Department of Justice, 2024

Value of transactions in the AML monitoring gap

$18.3T

CASE

Semantic Finance with Ontology-Based Governance (Project CEDAR)

Project CEDAR shows that a semantic structure connecting the meaning and relationships of financial data through ontology is drawing attention as a foundation for financial AI and regulatory compliance.

Global banking penalties for transaction monitoring failures

$3.6B+

3DS Blog, The Role of Ontology Management in Financial Governance (2025)

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Defined Friction Points

Financial Trust Under Pressure

Core Challenges for Financial Institutions

Cyber Security
01

Expanding Digital Finance Attack Surfaces

  • -Attack surface: new intrusion paths increase along with the expansion of cloud, open APIs, and external partners
  • -Account threats: the abuse of legitimate accounts and social engineering attacks directly affect the trustworthiness of financial services and security operations
02

Security Operations in Complex Financial Ecosystems

  • -Operational complexity: the burden of managing IT, cloud, and external ecosystems increases along with the expansion of fintech, virtual assets, and non-face-to-face services
  • -Response prioritization: as regulatory compliance and security operations run in parallel, threat assessment and response speed decline
03

Faster Financial Crime Evolution

  • -Sophisticated fraud: AI-based phishing, account takeover, and insurance fraud are becoming increasingly refined
  • -Initial response: information sharing and analysis frameworks, slower than those of criminal organizations, delay the detection of damage and remediation procedures
Strategic Data Intelligence
01

Clients 360 Still Out of Reach

  • -Client information across banking, securities, insurance, card, and virtual asset services is difficult to grasp in an integrated way
  • -Constraints arise when connecting transaction, risk, and behavioral data to analyze anomalous transactions and client relationships
02

AI Without Financial Context

  • -General-purpose AI lacks a sufficient understanding of the context of financial products, regulations, and transaction flows.
  • -Lack of data quality and explainability makes it difficult to establish trust and control frameworks for AI outputs.
03

Regulatory Burdens & Manual Operations

  • -Attack surface: new intrusion paths increase along with the expansion of cloud, open APIs, and external partners
  • -Human-centric analysis of complex corporate structures and transaction relationships increases the burden on reviews, reporting, and audits.
Industry Approaches

Financial Intelligence
for Trust & Resilience

A financial intelligence framework for trust and resilience

Digital Finance Exposure Management

Financial Exposure Management

  • - Continuously identifying internet-exposed assets, cloud, open APIs, and affiliate connection points to manage the exposure scope of financial services
  • - Assessing risk based on service impact and the criticality of core assets, and selecting priority response targets

Adaptive Identity Protection

Identity & Session Protection

  • - Verifying access privileges throughout the entire transaction process based on user, device, and behavior information
  • - Controlling access to critical data and core services through early detection of account takeover and internal anomalous behavior

Financial Crime & Threat Intelligence

Threat Intelligence & Response

  • - Analyzing threat signals such as the dark web, Telegram, phishing infrastructure, and leaked account information to identify external threats targeting financial institutions
  • - Analyzing risky transactions and suspicious accounts in real time and automating blocking and isolation procedures to shorten response time

Client & Relationship Intelligence

Client Relationship Analytics

  • - Connecting banking, securities, insurance, card, and virtual asset data by client, account, and transaction flow to secure an integrated client view
  • - Tracking the relationships among customers, businesses, accounts, and wallets to identify anomalous transactions and money laundering signs early

Risk & Compliance Automation

Financial Risk Operations

  • - Automating credit review, anomalous transaction analysis, and document review tasks to improve processing speed and operational efficiency
  • - Systematizing AML, KYC, STR, and CTR reporting tasks and quickly reflecting regulatory changes

Fraud & Transaction Intelligence

Cross-Domain Transaction Analysis

  • - Connecting financial transactions, telecommunications information, and blockchain data to comprehensively analyze customers and transaction flows
  • - Correlating multi-stage crime flows such as account takeover, identity theft, and virtual asset laundering

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Solutions We Provide

Cyber Security

AI Security GovernanceDeep & Dark Web MonitoringAccount Take-over MonitoringCyber Threat IntelligenceAttact Surface ManagementPenetration TestingAI Red TeamingIncident Response

Strategic Data Intelligence

OntologyDomain-specific AIDecision AI