AI Articles and Analysis about Insider threats

Insider threat management is the process of preventing, combating, detecting, and monitoring employees, remote vendors and contractors, to fortify an organization's data from theft, fraud and damage.", "uri": "https://en.wikipedia.org/wiki/Insider_threat_management

IT for Financial Services in the Age of GenAI-min
Business intelligence and analytics
Finance
Cybersecurity
Financial services
Data analysis
Data auditing
Data collection
Data integration
Data management
Insider threats
Machine learning infrastructure
Predictive analytics and forecasting
Research and development
Security
Software development

IT for Financial Services in the Age of GenAI – with Craig Mackereth of Rimini Street

Dozens of GPT-driven products are already on the market, and hundreds more are in development. These tools collectively aim to revolutionize traditional roles and processes, transforming them into dynamic, parallelized workflows using variants of LLM models, such as AutoGPT. Tools like GitHub Copilot, powered by OpenAI's Codex, are demonstrating significant improvements in developer productivity, with some studies showing up to a 55% increase in task completion speed. 
01 – Confronting Unique Challenges in Retail and eCommerce Fraud@1x-min
Business intelligence and analytics
Consumer goods
Case management
Entertainment
Customer analytics
Finance
Customer analytics
Financial services
Customer service
Gaming
Cybersecurity
Retail
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Fraud protection
Fraud protection
Generative AI
Identity theft
Insider threats
Large Language Models
Machine learning infrastructure
Market segmentation
Marketing and advertising
Predictive analytics and forecasting
Recommendations
Research and development
Security

Confronting Unique Challenges in Retail and eCommerce Fraud – with Leaders from Amazon, PayPal, FanDuel, and Riskified

This interview analysis is sponsored by Riskified and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
AI Communications Surveillance-1x min
Automation and robotics
Business intelligence and analytics
Cybersecurity
Data analysis
Data auditing
Data collection
Data integration
Data management
Defense
Fraud protection
Generative AI
Identity theft
Insider threats
Large language models
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting
Security
Text analysis

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets.