At a time when the cloud estate of organizations is expanding faster than ever, the attack surface is becoming harder to monitor. This blog post aims to demystify attack surface discovery. We’ll explore what it involves, why it’s important, and how it fits into securing your digital assets. By the end, you’ll understand why a nuanced approach to attack surface discovery isn’t just beneficial; it’s essential for staying a step ahead against today’s sophisticated threats.

Attack surface management (ASM) has taken center stage in cybersecurity discussions in recent years. The key factor that sets ASM apart from traditional vulnerability management is its more informed and intelligent response to threats – “the attacker’s point of view” so to speak. What makes this possible is security validation. That’s what we focus on in this article.

Threat Intelligence is an important capability that many SOCs use to improve their security posture. Understanding what threat actors are targeting and how, can aid in everything from threat hunting to incident response. However, organizations often struggle with how to operationalize threat intelligence data they receive in order to actually accomplish this.

Zero-day vulnerabilities require an emergency response, disrupting proactive security initiatives and placing additional pressure on security teams. Despite not being the primary focus of their daily responsibilities, zero-days, especially those exploited in the wild, capture significant media attention. This often results in managers, executives, and even board members seeking immediate information about the company’s exposure to the latest threats.

We live in a time where the integrity and security of an organization’s digital infrastructure are essential in earning customer confidence and trust. This trust, however, is increasingly under siege due to a surge in cyberattacks exploiting overlooked or inadequately managed internet-facing assets. Organizations’ growing online presence are under an ever-increasing risk of cyber threats.

The rise of ChatGPT and Generative AI has swept the world by storm. It has left no stone unturned and has strong implications for cybersecurity and SecOps. The big reason for this is that cybercriminals now use GenAI to increase the potency and frequency of their attacks on organizations. To cope with this, security teams naturally need to adapt and are looking for ways to leverage AI to counter these attacks in a similar fashion.

When it comes to cyber resilience, Security Validation is emerging as the linchpin. Security teams face ever-more potential risks as their organization’s attack surfaces expand across diverse IT environments. Amid this challenge, the process of risk-based prioritization is more important than ever. However, prioritization alone falls short of the mark.

Credential stuffing is a cyberattack method where attackers use lists of compromised user credentials to breach into a system. These credentials, often obtained from previous data breaches and available on various dark web forums, include combinations of usernames, email addresses, and passwords.

This blog post delves into a critical yet often neglected aspect of cyber risk analysis —adding organizational context by understanding and prioritizing the importance of assets. Without considering the unique business context of an organization, security teams cannot effectively prioritize and remediate what matters most to their organization.

In the constantly evolving world of digital technology, cybersecurity risk management is a critical pillar in any organization. By effectively managing cybersecurity risk, you reduce incidents and the costs resulting from data breaches. However, cybersecurity risk management involves many different elements. It’s helpful to have an understanding of these aspects in order to leverage cybersecurity risk management to its fullest potential.