SecureList

OCTOBER 28, 2021

This summer Kaspersky experts took part in the Machine Learning Security Evasion Competition ( MLSEC ) — a series of trials testing contestants’ ability to create and attack machine learning models. We added popular header tags, such as <meta>, which somehow led to poorer results on the first three models.

Phishing 62

Phishing Malware Architecture Technology 62

LRQA Nettitude Labs

DECEMBER 14, 2023

So, AI, or as I like to call it, spicy autocomplete, is about making machines act smart. They can learn, think, solve problems – basically, they’re trying to outdo us at our own game. It’s like a digital con artist whispering chaos into the ears of our so-called intelligent machines. What is AI and what are its uses?

Artificial Intelligence 61

Artificial Intelligence Technology Penetration Testing Engineering 61

Centraleyes

APRIL 16, 2024

Automated classification tags enable the institution to enforce stringent access controls and encryption measures, ensuring the utmost protection for sensitive financial data. Machine learning algorithms, trained on historical data, enable proactive defense by predicting and preventing unauthorized access or data exfiltration.

Encryption 52

Encryption Education Risk Healthcare 52

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 example, we could tag all messages that contain the expression ‘make money’ as spam.

Cybersecurity 52

Cybersecurity Data breaches Malware Risk 52

Thales Cloud Protection & Licensing

APRIL 17, 2024

The Rising Threat Landscape Adversaries are already harnessing the power of generative AI for several nefarious purposes. Stealing the Model: AI models are the crown jewels of organizations leveraging machine learning algorithms. This should help them stay a step ahead of adversaries.

Risk 71

Risk Data collection Artificial Intelligence Accountability 71

Security Boulevard

APRIL 17, 2024

The Rising Threat Landscape Adversaries are already harnessing the power of generative AI for several nefarious purposes. Stealing the Model: AI models are the crown jewels of organizations leveraging machine learning algorithms. This should help them stay a step ahead of adversaries.

Risk 69

Risk Data collection Artificial Intelligence Accountability 69

Security Boulevard

FEBRUARY 21, 2024

Part 1 of this 2-part blog highlights some of the latest improvements with HYAS Insight. HYAS verdicts compress the outputs of over 50 proprietary rules, machine learning algorithms, and processes into a single Benign, Suspicious, or Malicious verdict. You can group by malware family, malware tags, and C2 ASNs.

DNS 49

DNS Malware Engineering Cybersecurity 49