In the rapidly evolving world of cybersecurity, Security Information and Event Management (SIEM) systems have become indispensable tools for organizations looking to protect their digital assets. The integration of Artificial Intelligence (AI) into SIEM is transforming the landscape, enhancing capabilities, and providing unprecedented levels of security. Here’s how AI is changing SIEM in 2024 and who the key players are.
In the realm of technology, terms like Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they represent distinct concepts with their own unique characteristics and functions. Understanding the relationship between AI and ML, their differences, and their order in the technological hierarchy is crucial for anyone interested in the evolving field of cybersecurity and beyond.
As artificial intelligence (AI) continues to advance, its impact on various industries becomes increasingly evident. One sector poised for significant transformation is IT support.
Artificial Intelligence (AI) has brought about revolutionary changes in many sectors, offering incredible benefits. However, it also poses significant risks, particularly in the realm of cybercrime. One such concerning development is AI-assisted masking, a technique increasingly used to infiltrate systems, commit crimes, and spoof identities. This blog explores how AI-assisted masking works, its current applications in crime, and highlights recent incidents that underline its potential dangers.
As artificial intelligence (AI) continues to expand its influence across various sectors, the need for standardized guidelines to ensure consistency, reliability, and ethical considerations in AI development has become paramount. Two significant standards addressing these needs are ISO/IEC 22989 and ISO/IEC 42001. This blog explores the similarities and differences between these two standards and their impact on the AI landscape.
In today’s rapidly evolving technological landscape, businesses are constantly seeking innovative solutions to enhance efficiency and streamline operations. Two prominent technologies that have been at the forefront of this transformation are Generative AI and Robotic Process Automation (RPA).
AIOps, or Artificial Intelligence for IT Operations, is a term coined by Gartner to describe the use of artificial intelligence (AI) capabilities, such as natural language processing and machine learning models, to automate and streamline IT operations processes, such as event correlation, anomaly detection, root cause analysis, and incident resolution.
In today’s digital age, the underpinnings of our most profound technological advancements are deeply rooted in seemingly unrelated domains. One such unexpected connection is between global water consumption and the world of data centers and Artificial Intelligence (AI). As the thirst for data and computational power grows, so does the demand for water. In this article, we’ll dive deep into the hidden relationship between these three elements.
Our focus has always been to be your strategic partner. This approach has helped develop a reliable and tangible process in meeting our client’s needs today and beyond.
Our dedicated team is here to support businesses from 1 – 200+ users starting today.
We Schedule a call at your convenienceÂ
We prepare a proposalÂ
