ThreatQuotient and Infoblox recently hosted a webinar, where they demonstrated how the combination of DNS Intel and the use of a Threat Intelligence Platform (TIP) help to improve threat detection and response capabilities. Infoblox specializes in DNS Intelligence where their internal experts analyze, process and qualify DNS intelligence (analyzing around 70 billion DNS requests). The results of these analyses provide customers with an enriched, qualified and reliable source of information.

In the fast-evolving digital landscape, the prevalence of cyber threats has become a stark reality for businesses and individuals alike. The conventional cybersecurity measures, while essential, are often reactive and inadequate against sophisticated attacks. This is where Threat Hunting emerges as a proactive and dynamic approach to cybersecurity. In this blog, we delve into the fascinating world of Threat Hunting and explore its significance in safeguarding against cyber adversaries.

In today’s interconnected digital landscape, cyber threats have become more and more sophisticated and prevalent, posing a huge risk to individuals, organizations, and even nations. To understand and stop these evolving threats effectively, cybersecurity agencies rely on advanced tools and technologies. One such tool is Threat Intelligence Platforms (TIPs), which play a crucial role in enhancing the capabilities of these agencies.

The discipline of vulnerability management has been around for decades and the way we assess risk, based on severity and likelihood of exploitation, has remained fairly constant. However, there are challenges in how this formula is usually applied that narrow our perspective on risk and our mitigation strategies.

Software supply chain attacks have become a major concern for organizations in recent years, as cybercriminals increasingly target third-party software components and libraries used to build applications. These attacks can have devastating consequences, including data breaches, theft of intellectual property, and disruption of business operations. In this article, we will explore the growing threat of software supply chain attacks and discuss strategies for mitigating the risks.

According to the Verizon 2023 Data Breach Investigations Report, basic web application attacks, which consist largely of leveraging vulnerabilities and stolen credentials to get access to an organization’s assets, are the most prevalent pattern of attack against the financial services sector.

ThreatQuotient’s Perspective on Security Operations and vision for AI in the ThreatQ Platform We’re all familiar with the “speed of cybersecurity”, the rapid pace at which cyber threats evolve and the corresponding need for timely and agile defense measures. We’ve been trained to understand the importance of quickly detecting, analyzing, and mitigating cyber risks to stay ahead of attackers and protect assets in an increasingly dynamic and interconnected world.

The persistent shortage of skilled cybersecurity professionals which grew by 26.2% over the past year, coupled with the fact that global cyberattacks increased 38% in 2022, means organizations are increasingly looking to security automation to help the cybersecurity teams keep pace. In fact, 98% of respondents to our “2022 State of Cybersecurity Automation Adoption” survey say they have increased their automation budgets.

In today’s digital world, cybersecurity threats are on the rise, and businesses must stay vigilant to protect their sensitive data from cybercriminals. To combat these threats, companies often rely on cybersecurity information vendors to provide them with intelligence information. However, the quality of the intelligence information provided by these vendors has come under scrutiny, and there have been concerns about the accuracy and effectiveness of the information provided.

Every five to ten years, major technology shifts change the way that vulnerability assessment and the related IT risk mitigation processes are approached or implemented. What has remained constant is the formula we use to measure risk and thus prioritize and triage vulnerabilities. Risk = (Likelihood of event) * (Impact of consequences) It’s an approach that intuitively makes sense, but there have been two challenges with how this formula has been applied.