Security Affairs

AUGUST 9, 2018

What about Artificial Intelligence (AI) applied in malware development? ” reads a blog post published by the experts. ” reads a blog post published by the experts. “What is unique about DeepLocker is that the use of AI makes the “trigger conditions” to unlock the attack almost impossible to reverse engineer.

Malware 51

Malware Artificial Intelligence Antivirus Advertising 51

NopSec

MARCH 25, 2019

Spam detection, facial recognition, market segmentation, social network analysis, personalized product recommendations, self-driving cars – applications of machine learning (ML) are everywhere around us. In this blog post, we summarize the first part of that webinar, without going into the three specific applications and the challenges.

Cybersecurity 52

Cybersecurity Artificial Intelligence Phishing Malware 52

Elie

MAY 30, 2018

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. At a high level, attacks against classifiers can be broken down into three types: Adversarial inputs. competitor content or as part of revenge attacks). first post. slides here.

Accountability 107

Accountability Artificial Intelligence Engineering Retail 107

Elie

MAY 30, 2018

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. At a high level, attacks against classifiers can be broken down into three types: Adversarial inputs. competitor content or as part of revenge attacks). first post. slides here.

Accountability 91

Accountability Artificial Intelligence Engineering Retail 91

SecureList

OCTOBER 28, 2021

What we did. We started off by submitting several clean (benign) web pages — such as Wikipedia’s — to check what probabilities the models would return. Drawing on this domain knowledge, we devised our first obfuscation scheme: Create a small fake “personal blog” page. for each sample.

Phishing 62

Phishing Malware Architecture Technology 62

NopSec

APRIL 7, 2019

Spam detection, facial recognition, market segmentation, social network analysis, personalized product recommendations, self-driving cars – applications of machine learning (ML) are everywhere around us. For more details, the webinar is available on demand here. It is therefore important to differentiate legitimate messages from spam.

Cybersecurity 52

Cybersecurity Data breaches Malware Risk 52

Security Boulevard

APRIL 5, 2022

At the beginning of this journey I had no idea what Random Forests were, the tradeoffs of underfitting and overfitting, what “deep learning” actually entailed, nor what pretty much any machine learning terms or concepts were. This is the first in a series of posts on the subject with hopefully more to come in the future!

Architecture 69

Architecture InfoSec Risk Technology 69

Security Boulevard

JUNE 1, 2022

While exactly what operators are after varies from environment to environment, there is one common target that everyone’s always interested in: passwords. So what’s the exact problem we want to tackle here? DeepPass?—?Finding Finding Passwords With Deep Learning. In this post, we’re going to try to tackle password recognition.

Passwords 85

Passwords Architecture Backups Phishing 85

SecureList

DECEMBER 11, 2023

Over the past twelve months, this abbreviation has resonated across innumerable headlines, business surveys and tech reports, firmly securing a position as the Collins English Dictionary’s 2023 Word of the Year. The same survey states that 79% of respondents across all job titles are exposed to generative AI either at work or at home.

Cybersecurity 94

Cybersecurity Artificial Intelligence Technology Risk 94

SecureWorld News

NOVEMBER 8, 2020

Last time, we looked at how we do device-level forensics on a deception network. For these reasons, the deception network usually handles the device-level forensic chores. My tool of choice for this blog entry is Infocyte, a next generation enterprise-grade forensics tool. So, on to the forensics.

Malware 49

Malware Artificial Intelligence Risk Cybersecurity 49