Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you are a mature organization, you might manage an external IP block of 65,000 IP addresses (equivalent to a /16 network). In contrast, very large organizations like Apple may handle an astonishing 16.7 million IP addresses or more (about a /8 network). However, this isn’t the case for many of us. IP addresses are fixed assets and can be costly, so most modern organizations do not have a large number of directly assigned IP addresses for every service they expose to the internet.

We are excited to announce Detectify Alfred, a revolutionary system that uses AI to completely autonomously collect and prioritize threat intelligence and generate high-fidelity security tests for the CVEs that are most likely to be exploited in the wild.

The traditional perception of security within an organization is as a barrier rather than a facilitator, imposing approval processes and regulations that inevitably slow down operations. In this blog post, along with our friends at Knowit Experience, we explore how a new mindset keeps growing. One that embraces security as an enabler and a business value contributor.

Below, we’ll take a look at how both DAST as a methodology and DAST as a tool relate to what we do at Detectify. More specifically, we’ll explain how Detectify’s solution applies DAST methodology to the full breadth of an attack surface, automating the heck out of application security testing. With these methods, we cover millions of domains before you’ve even had breakfast.

At Detectify, we help customers secure their attack surface. To effectively and comprehensively test their assets, we must send a very high volume of requests to their systems, which brings the potential risk of overloading their servers. Naturally, we addressed this challenge to ensure our testing delivers maximum value to our customers while being conducted safely with our rate limiter.

Below, we’ll take a look at how both DAST as a methodology and DAST as a tool relate to what we do at Detectify. More specifically, we’ll explain how Detectify’s solution applies DAST methodology to the full breadth of an attack surface, automating the heck out of application security testing. With these methods, we cover millions of domains before you’ve even had breakfast.

When was the last time you checked DNS configurations for subdomains pointing at services not in use? According to Crowdsource ethical hacker Thomas Chauchefoin, while expired and forgotten subdomains can easily become an entry point for an attacker to steal sensitive data and launch phishing campaigns, having the right tool in place can keep them at bay.

As part of our Detectify under the hood blog series, we recently introduced our new engine framework and how it helped us address a critical 0-day vulnerability within a day. In this article, we deep-dive into the problem space of monitoring our customers’ attack surface and distributing security tests to them.

In 2024, we shipped numerous features to help security teams manage their growing attack surface. Some examples are Domain Connectors for continuous discovery, a new Integrations platform for greater flexibility, and a Domains page for unprecedented control over attack surface data. Read on to explore our highlights of this year, check out the top vulnerabilities that made headlines, and discover what lies ahead in 2025.

When a critical vulnerability in the printing system CUPS started raising alarms among security teams, Detectify had already entered war-room mode to address the situation. Within the day, customers could test whether they were vulnerable thanks to the rollout of a new scanning engine framework that reinvents how Detectify operates under the hood, allowing for a faster and more efficient response to security threats.