Fight AI with AI: Building a Resilient Merchant Risk Management Program Facilitates Growth
The rise of e-commerce and digital payments has revolutionized how businesses operate and consumers transact, enhancing convenience, accelerating…
Browsing Tag
anomaly detection
The Role of Agentless AI in Automated Incident Response and Threat Hunting
As cyber threats grow more sophisticated, organizations are increasingly turning to automated solutions to enhance their security posture. While…
Real-World Implementations of Agentless AI in IT Monitoring
As businesses continue to scale their IT infrastructure, managing and monitoring complex systems efficiently has become a significant challenge.…
The Dark Side of Agentless AI: Mitigating Risks for Long-Term Success
Agentless AI is a transformative approach to AI-driven automation, eliminating the need for intrusive software agents while streamlining operations…
AI’s Impact on Data Centers: What You Need to Know
Artificial Intelligence (AI) is reshaping the digital landscape at an unprecedented pace, reminiscent of the transformative wave that the…
Enhancing Fraud Detection Capabilities With AI
In an era where digital transactions are at the heart of business operations, fraud has evolved into a sophisticated challenge, capable of impacting…
Can Artificial Intelligence Detect Business Logic Attacks Early?
If you’re developing an application or an e-commerce website, you know that each process follows a set of rules.
For example, when a customer…
The Role of AI and Machine Learning in Fraud Detection
Fraudsters are getting sneakier by the minute, leaving both companies and everyday people feeling under treat. From massive data breaches to growing…
Chung-Ang University Researchers Review Deep Learning-Based Methods to Detect Time Series Data…
Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A…
Anomaly Detection: Its Real-Life Uses and the Latest Advances
What is anomaly detection?
Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit…
