Enterprise Risk
Elections, AI and Regulation: Balancing Security and Innovation
October 16, 2024
by Ken C. Joseph, Esq., Richard Kerr
Artificial Intelligence (AI) Insights
The latest thinking from Kroll experts on generative AI strategies, implementation, compliance, cyber and privacy threats and regulatory developments.
Risk and financial experts worldwide merge proprietary data and research to share the latest insights on the challenges and opportunities stemming from AI innovations, regulations, policies and threats. Read the latest insights.
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Elections, AI and Regulation: Balancing Security and Innovation
Enterprise Risk
Deepfakes and Misinformation: What Have We Learned About GenAI and Elections?
September 12, 2024
by Joshua Tucker, Paul Connolly, George Vlasto
Cyber
Machine Learning in Cybersecurity: Models, Marketplaces and More
June 18, 2024
by Alex Cowperthwaite, Pratik Amin
Cyber
AI Security Risks and Recommendations: Demystifying the AI Box of Magic
May 30, 2024
by Alex Cowperthwaite, Pratik Amin
Threat Intelligence
Developing Your AI Business Strategy: Initial Considerations
April 12, 2024
by Paul Connolly
Artificial Intelligence
AI: Governance and Oversight – Navigating the New Frontier of Financial Services
March 29, 2024
by Mark Turner, Richard Taylor, Richard Kerr
Regulatory Updates
Taking a Stand: Human Intervention to Mitigate AI Fraud Risk
March 6, 2024
by Ken C. Joseph, Esq., Ana D. Petrovic, Jonathan "Yoni" Schenker, Jack Thomas, Justin Hearon
Regulatory Updates
AI Risks and Compliance Strategies
January 31, 2024
by Ken C. Joseph, Esq., Jonathan "Yoni" Schenker, Ana D. Petrovic
Threat Intelligence
Emerging Chatbot Security Concerns
March 23, 2023
by Nicole Sette, Joe Contino
Cyber
Rise of AI-Generated, Fake LinkedIn Profiles Raises Social Engineering Challenges
October 28, 2022
by Laurie Iacono, Isaiah Jensen, Caitlin Muniz, Amie Nguyen
Cyber
What is Cyber Threat Hunting? Approaches, Tools and Intel Explained
September 28, 2022
by Scott Hanson, George Glass
Cyber Risk
Leveraging Artificial Intelligence to Proactively Detect, Track and Minimize Data Loss Threats
July 11, 2019
by Anju S. Chopra, Heather Williams
Why High-Quality Data is Crucial to Fighting Financial Crime
Why High-Quality Data is Crucial to Fighting Financial Crime
AI has proven transformative, particularly in combating financial crime. However, the effectiveness of AI hinges significantly on the quality of the underlying data. Read Kroll’s latest article to learn why high-quality, well-structured data is key to harnessing AI’s full potential in the fight against growing financial crime.
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