Multi-factor authentication (MFA) is a method and technology to verify a user’s identity requiring two or more credential category types for the user to be able to log into a system or make a transaction.

The use of managed services is growing as organizations struggle supervising multiple sophisticated software systems and advanced corporate networks. One specific area of company outsourcing is the implementation and management of cyber defenses to protect digital assets against ever-evolving security threats.

The era of individual threat actors has been replaced by organized syndicates utilizing sophisticated processes to break through expansive networks and IT architecture.

The sophisticated nature of today’s threat landscape and actors continue to wreak havoc on enterprise infrastructures. The lack of inadequate response from security teams is due to the dependency on parameter-based security solutions that are not agile enough to deal with sophisticated threats.

Advanced threat intelligence involves machine learning, data science, and behavioral analysis to discover cyber threats. RSA’s platform offers superior threat detection, flagging known and unknown cybersecurity incidents with high accuracy. These features and more is what RSA's Security Tools provides enterprises and security teams.

Microsoft released a security bulletin today detailing a RCE in all known Windows DNS Servers, with a base CVSS score of 10.0.

Datashield is aware of a recent vulnerability [CVE-2020-5902] and it has been published for the following F5 products: BIG-IP (LTM, AAM, AFM, Analytics, APM, ASM, DNS, FPS, GTM, Link Controller, PEM)

A blended attack is one of the most powerful weapons in the arsenal of a bad actor intending harm to digital assets and computing systems. A blended attack is a sophisticated cyber attack that utilizes a mix of malicious code, computer viruses, worms or Trojan horses and exploits multiple software or hardware vulnerabilities known to the attacker.

The idea of collecting data from logs and using this data for analyzing the behavior of software applications, endpoints and servers dates back to the 80s. It took over a decade for the first Security Information and Event Management (SIEM) systems to appear as an on-premise security tool that collects logs from multiple collection points to detect abnormal activity.