Security & Fraud
Using AI to fight fraud and cybercrime, and protecting AI systems from new threats.
Latest on Security & Fraud.
AI Deepfake Social Engineering: How Enterprises Can Defend Against It
TrendAI's Sundari Parekh explains how AI agents speed up deepfake fraud and social engineering, and the defenses security teams need now.
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From Shadow AI to Sovereign Agents: Why AI Governance Must Run at Runtime
Kindo's Shan Zhou explains why AI pilots fail, why policies must be enforced at runtime, and how to test, audit and cost-manage AI agents.
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Garbage In, Liability Out: Data Quality and Governance for Trusted AI
Leaders from Bank of America, Synchrony, Alteryx and Truist explain how data quality, clear ownership and modern governance make AI trustworthy.
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AI Trust Gates and Sandboxed Coding Agents: Precisely and Coder Demos
Precisely demoed an MCP trust gate that blocks agents from acting on low-quality data. Coder showed coding agents running in governed remote workspaces.
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Why the Enterprise AI Stack Needs a Control Plane for Agents
Xnode's Hemakumar Velugula explains why AI agents need data-layer access controls, unified policy and cost limits to reach production.
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From Automation to Autonomy: Trusted Agentic AI Controls for Banks
Midships' Ajit Gupta explains why banks are stuck in AI automation and how purpose, intent and action checks let agents act safely.
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AI Agent Overreach: Why Enterprises Need Context-Based Controls
Rubrik's Cal Al-Dhubaib explains how AI agents overreach, why static security controls fall short, and how context-based controls help.
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Self-Service AI Analytics for KYC and AML: Inside Actian AI Analyst
Actian's Phil Wall demos how an AI analyst grounded in governed business context speeds AML and KYC investigations without report requests.
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AI Demo Day Q2: Mistral AI, SAP, Rhino, Precisely, Skyflow and SecuPi
Six 10-minute enterprise AI demos: Mistral AI agents, SAP Joule agents, federated AI, location data via MCP, PII tokenization and AI access control.
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How AI Agents and Bots Break Web Analytics, and How to Fix the Data
Snowplow's Nick Stanchenko explains how bots skew metrics, why AI agent traffic is invisible to analytics, and how to handle agentic browser sessions.
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Real-Time AI Fraud Detection: Why Milliseconds Matter
Aerospike's Sesh Seshadri explains how ML, graph analytics and multi-stage inference stop financial fraud within a 50 ms window.
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Synthetic Data for AI Governance: Protecting PII Without Losing Signal
SAS's Sophia Rowland and Sundaresh Sankaran explain how governed synthetic data protects PII, builds robust test sets and balances privacy with accuracy.
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Aerospike Live Demo: Surviving Node Failure and Catching Fraud by Graph
At COLLIDE 2025, Aerospike's Stan Christ shut down cluster nodes under load, then showed graph-based fraud detection flagging transfers many hops away.
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How to Detect Shadow AI and Replace It With Tools Employees Want
Airia's Dave Horton and Rahul Parwani explain why AI bans fail, how to detect shadow AI in layers, and how AI champions drive sanctioned adoption.
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Sovereign AI for Government: Data, Operations and Air-Gapped AI
NVIDIA and HPE leaders define sovereign AI, the three pillars of digital sovereignty and the challenges of deploying AI in air-gapped environments.
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AI Data Governance: How ADP Protects Sensitive Data From LLMs
ADP's Amber Eshelman and Orlando Insight Group's Henry Clavo on AI risk points, two-way scanning, data stewards and building to the strictest regulations.
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Fraud Detection Build vs. Buy: How North Built Real-Time ML In-House
North's Ben Orkin explains why the payment processor replaced a third-party fraud tool with its own real-time ML system and feature store.
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Responsible AI: How TD Bank, TelevisaUnivision and Vertex Build Trust
TD Bank, TelevisaUnivision, Vertex and Truist leaders on LLM privacy risks, AI ethics boards, explainability, generative AI security and data minimization.
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Generative AI Use Cases Beyond Chatbots: Lessons From Media and Retail
Leaders from Dollar General, Scripps, TelevisaUnivision, Vertex and PRGX on generative AI use cases beyond chatbots, plus security, validation and ROI.
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