AI regulation is everywhere…including at the state level
State-level AI regulations are becoming more prevalent, particularly focusing on employment practices, with numerous states...
How do you spell that? Why accurate KYC/KYB risk systems need to look beyond spelling.
Discover how advanced AI-driven name-matching algorithms enhance KYC/KYB processes by accurately identifying individuals despite...
Building vs. buying AI: What to consider
These are some key considerations for deciding whether to build, buy, or combine AI solutions for your business needs.
The state of AI—agentic—and where I see AI headed from here
Learn the evolution of AI from large language models to agentic AI, emphasizing planning, tools, and regulatory compliance for...
Saifr’s mission: Make AI safer
Here's how our collaboration with Microsoft aims to enhance compliance in the financial services industry through innovative AI...
AI’s double act: where quick wit meets deep thought
Explore the dual approach to AI that combines rapid intuition with deep analytical thinking to revolutionize complex...
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Harnessing the power of Gen AI for evaluating AI systems
LLMs, a type of Gen AI, can be used to help evaluate AI solutions, from stress testing to test set generation.
How AI-assisted entity resolution can help you reduce risk
Learn how AI can enhance detection of bad actors, improve AML/KYC processes, and minimize false positives for your compliance team.
Agentic AI: the next AI evolution you should prepare for
Agentic AI is an autonomous system that has the potential to significantly transform the financial services industry.
3 ways AI can augment the efficacy, efficiency, & scale of AML/KYC solutions
AI can help scan data, analyze risk, and prioritize due diligence, ultimately strengthening financial institutions' anti-fraud...
The role of AI in anti-money laundering: innovations and application
AI can transform AML efforts and safeguard the global financial system by enhancing detection accuracy and reducing false...
Navigating the challenges of AI integration in financial services
The integration of RAG in AI systems holds immense potential for the financial services sector, but must be handled with diligence.
