Kamil Goral Archives | STAGING

UBO Identification in AML: Why LLMs Fail & How Composite AI and AI Agents Get It Right AML/KYC As global regulations tighten, the accurate identification of Ultimate Beneficial Owners (UBOs) has become a critical, yet error-prone compliance task. While many turned to AI, standard Large Language Models (LLMs) have proven inadequate for the analytical rigor […]

The Hallucination Trap. Why Generative AI in Banking Requires a Persistent Context Layer Anti-Fraud “Banks are under pressure to adopt Generative AI quickly. Boardrooms want productivity gains, faster investigations, better customer service, and more efficient compliance operations. But Chief Data Officers, AI leaders, and risk teams are running into a more difficult problem: the Technical […]

What Is Contextual Analytics? Anti-Fraud Executive Summary Most data projects are “disposable,” i.e., the context is built for one dashboard or one case and then lost. DataWalk introduces Persistent Context. By mapping data once to a flexible ontology, the intelligence “compounds” over time. As new data sources are added, they extend the existing model rather […]

Palantir Products and Competitors: Alternatives to Gotham and Foundry Intel / LEA / Defense Why this guide Organizations evaluating Palantir alternatives often ask similar questions about products, costs, and the competitive landscape. Below you’ll find clear, skimmable answers — plus where DataWalk fits. Introduction Palantir Technologies is a global leader in data, analytics & AI, […]

Struggling with fragmented data and reactive tools? Learn how a unified knowledge graph eliminates analytical blind spots, empowering your team to proactively detect complex financial crimes and hidden threats.

Discover how Composite AI revolutionizes sanctions compliance by integrating graph analytics, automation, and explainable AI. Uncover hidden indirect ownership, detect crypto evasion, and achieve auditable decisions to significantly reduce risk.

Bridging Reason and Reality: DataWalk’s Unique Hybrid Graph Reasoning for Enterprise AI Key Takeaways The Reasoning Imperative: Agentic AI systems require explicit multi-hop context and fact-grounding to plan, evaluate evidence, and prevent hallucinations in complex enterprise scenarios. Reasoning vs. Inference: Reasoning is the structural design of rules and logic (e.g., UBO propagation formulas), whereas inference […]

Identifying Emerging Security Threats Through Satellite Data Fusion Intel/LEA/Defense Introduction Satellite data, including Automatic Identification System (AIS) feeds, Synthetic Aperture Radar (SAR) imagery, GNSS signals and other sensor readings, provides a powerful window into activity at sea and on land. However, satellite data alone rarely provides enough context to support critical decisions. For national security […]

Transforming Data into Actionable Intelligence with DataWalk’s Unified AI Platform DataWalk Platform DataWalk’s AI-powered platform transforms complex, disconnected data into operational intelligence through a structured, three-stage process: Source to Knowledge Knowledge to Insight Insight to Decision By unifying knowledge graphs, machine learning, and generative AI within a single cohesive architecture, organizations can convert raw data […]

Unlock accurate UBO identification for financial compliance. Discover why standard LLMs fall short and how a Composite AI approach, integrating Agentic AI and graph technologies, delivers auditable, automated, and precise beneficial ownership analysis.