Experts in the cybersecurity industry are becoming increasingly concerned about artificial intelligence attacks. A 2020 report from Forrester Consulting found that 88% of decision-makers in the security industry believed offensive AI was on the horizon, and almost two-thirds of them expected AI to lead new attacks.
The rapidly evolving landscape of cybersecurity is witnessing the genesis of new paradigms, redefining the ways we perceive threat detection and response. Traditional approaches to cybersecurity are proving less effective against the sophistication of modern cyber threats. Among the many possible solutions, the integration of Threat Intelligence (TI) and Artificial Intelligence (AI) stands as an impressive contender, aiming to set a new standard in the industry.
Phishing attacks are a major cyber threat that continue to evolve and become more sophisticated, causing billions of dollars in losses each year according to the recent Internet Crime Report. However, traditional offline or inline phishing detection engines are limited in how they can detect evasive phishing pages. Due to the performance requirements of inline solutions, they can only target specific campaigns and, at best, act as a basic static analyzer.
In April 2023, German artist Boris Eldagsen won the open creative award for his photographic entry entitled, Pseudomnesia: The Electrician. But, the confusing part of the event for the judges and the audience was that he refused to receive the award. The reason was that the photograph was generated by an Artificial Intelligence (AI) tool.
The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. OpenAI's flagship product, ChatGPT, has dominated the news cycle since its unveiling in November 2022. In only a few months, ChatGPT became the fastest-growing consumer app in internet history, reaching 100 million users as 2023 began.
Despite the race to integrate artificial intelligence (AI) and machine learning (ML) into business systems and processes, the crucial issue of comprehending and articulating the decision-making process of these models is often ignored. Although machine learning is a valuable tool for uncovering pertinent information from vast amounts of data, it is essential to ensure the relevance, accuracy and reliability of this information.
Wouldn’t it be great if your cybersecurity strategy only had to focus on just a few threats? Sigh… if only life were that easy. But new predictions for this year’s most prevalent cyber threats from analyst firm Forrester should help focus your efforts.. According to their newly released Top Cybersecurity Threats in 2023 (client access required), there are five threats to be concerned about.
