Security Boulevard

JULY 20, 2023

The benefits of AI in cybersecurity Artificial intelligence and machine learning (AI/ML) can boost the speed and effectiveness of cybersecurity. View our on-demand webinar, " Protect Your Customers Against Identity Fraud ," to learn about the use of AI to defend against AI-powered threats, or visit the Autonomous Access page.

Artificial Intelligence 98

Artificial Intelligence Authentication Education Risk 98

LRQA Nettitude Labs

JULY 5, 2023

This has included AI programs revealing sensitive information, being taken advantage of by malicious users to import malware into code output, or as some university students found out at their cost, taking credit for work it did not complete.

Artificial Intelligence 52

Artificial Intelligence Data privacy Social Engineering Risk 52

Malwarebytes

DECEMBER 8, 2023

” Generative Artificial Intelligence (AI) models have been around for years and their main function, compared to older AI models is that they can process more types of input. Take for example the older models that were used to determine whether a file was malware or not.

Risk 85

Risk Artificial Intelligence Manufacturing Cybersecurity 85

NopSec

OCTOBER 4, 2022

The large amount of data generated is too much for a security team to manually analyze necessitating the use of Artificial Intelligence/Machine Learning (AI/ML) techniques to sort the good from the bad. AI/ML algorithms sort emails to identify phishing attempts and malware attachments.

Artificial Intelligence 52

Artificial Intelligence Risk Malware Big data 52

CyberSecurity Insiders

JUNE 21, 2023

Machine learning (which is a subset of artificial intelligence, or “AI”)—and in particular, machine learning-powered predictive analytics—are enhancing threat detection and response in the SOC by providing an automated way to quickly analyze and prioritize alerts. For example, a supervised ML model can learn to recognize malware.

Threat Detection 64

Threat Detection Artificial Intelligence Malware Architecture 64

NopSec

MARCH 25, 2019

Many security companies are adopting it as well, to solve security problems such as intrusion detection, malware analysis, and vulnerability prioritization. In fact, terms such as machine learning , artificial intelligence and deep learning get thrown around so much these days that you may be tempted to dismiss them as hype.

Cybersecurity 52

Cybersecurity Artificial Intelligence Phishing Malware 52

Security Boulevard

AUGUST 26, 2021

The primary reason is cybercriminals’ use of new and emerging technologies, such as artificial intelligence (AI) and machine learning (ML). . Global organizations are being overrun by a flood of malware, phishing, and ransomware attacks and compromised credentials. Want to learn more about how to modernize RBAC?

Data breaches 59

Data breaches Artificial Intelligence Retail Architecture 59