Centraleyes

FEBRUARY 8, 2024

In the sprawling expanse of our digital metropolis, where users, applications, and systems engage in a constant movement between nodes, the Endpoint Detection and Response (EDR) system has emerged. EDR is a category of tools designed to continuously monitor the intricate web of cyber threats on endpoints across a network.

Antivirus 52

Antivirus Cyber threats Malware Threat Detection 52

CyberSecurity Insiders

JUNE 12, 2023

For example, adversarial attacks that subtly manipulate the input data of an AI model to make it behave abnormally, all while circumventing detection. It is in this landscape that the Zero Trust security model of ‘Trust Nothing, Verify Everything’, stakes its claim as a potent counter to AI-based threats.

Risk 106

Risk Architecture Data privacy Encryption 106

Security Boulevard

MARCH 10, 2022

Network security detection? As a security leader, what do you have to know about analytics and detection as you figure out how the SOC should evolve? First, it’s not about [analytics technique A] vs. [analytics technique B]. Defining the SOC “Platform”. Let’s examine how an evolved SOC handles detects ransomware?

Ransomware 98

Ransomware Data collection Backups Engineering 98

Security Boulevard

JUNE 15, 2022

One of the core foundations of effective security monitoring, detection, and response (MDR) is having the right alert rule content. This allows your security operations center (SOC) and security teams to detect and respond to the vulnerabilities, threats, and attacks that are relevant to your environment.

Firewall 52

Firewall Passwords Architecture Mobile 52

SecureList

MARCH 30, 2023

Here are some of the most common security services provided by MSSPs: Security Monitoring 24/7 monitoring of the organization’s network, systems, and applications to identify potential security threats and anomalies; can be provided as an on-premises solution (when data must not leave the customer infrastructure) or as a service.

Technology 105

Technology Marketing Risk Threat Detection 105

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. Problem 1: Spam Detection Spam detection is one of the oldest problems in security. How big is the problem?

Cybersecurity 52

Cybersecurity Data breaches Malware Risk 52

CyberSecurity Insiders

JULY 19, 2021

Creating an effective threat hunting program is among the top priorities of security leaders looking to become more proactive and build active defenses. Why Employ a Formal Threat Hunting Framework? Some will add machine learning-aided anomaly detection to help them better understand baseline conditions in the environment.

Architecture 145

Architecture Data breaches Malware Network Security 145