machine learning
Organizations investing in security analytics and machine learning to tackle cyberthreats
IT security’s greatest inhibitor to success is contending with too much security data. To address this challenge, 47 percent of IT security professionals acknowledged their …
Status of AI implementation at automotive organizations
Just 10 percent of major automotive companies are implementing artificial intelligence (AI) projects at scale, with many falling short of an opportunity that could increase …
Nearly half of organizations lack the necessary talent to maintain security measures
Regardless of their size, organizations share a common challenge: IT security teams are understaffed and overextended. The number of security alerts, the challenge of what to …
Is AI really intelligent or are its procedures just averagely successful?
Artificial intelligence (AI) and machine learning algorithms such as Deep Learning have become integral parts of our daily lives: they enable digital speech assistants or …
Businesses recognize the need for AI & ML tools in cybersecurity
71 percent of businesses surveyed in the United States plan to use more artificial intelligence and machine learning (AI/ML) in their cybersecurity tools this year, although …
By 2025 workforce most likely to consist of humans and bots
The workforce, workplace, and the technologies that support them will be so different by 2025 that enterprises need to provide global access and ensure continuous uptime now. …
Detecting Trojan attacks against deep neural networks
A group of researchers with CSIRO’s Data61, the digital innovation arm of Australia’s national science agency, have been working on a system for run time detection of trojan …
Machine learning fundamentals: What cybersecurity professionals need to know
In this Help Net Security podcast, Chris Morales, Head of Security Analytics at Vectra, talks about machine learning fundamentals, and illustrates what cybersecurity …
Machine learning trumps AI for security analysts
Machine learning is currently one of the biggest buzzwords in cybersecurity and the tech industry in general, but the phrase is often overused and misapplied, leaving many …
Insight into the growing problem of highly sophisticated fraud
Sophisticated fraud campaigns are beginning to outwit machine learning solutions especially the ones that only detect known fraud patterns based on historic loss experience, …
Deception technology: Authenticity and why it matters
This article is the second in a five-part series being developed by Dr. Edward Amoroso in conjunction with the deception technology team from Attivo Networks. The article …
An introduction to deception technology
This article is first in a five-part series being developed by Dr. Edward Amoroso in conjunction with the deception technology team from Attivo Networks. The article provides …