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.

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.

Salt Typhoon is suspected to be an Advanced Persistent Threat (APT) group. Their origins are linked to state-sponsored entities in Asia, leveraging their technical expertise to breach some of the world’s most critical telecom infrastructure. Unlike ransomware groups that aim for monetary gain, Salt Typhoon’s primary objective is espionage, focusing on data theft and surveillance.

It’s a warm, sunny day as you lie in the sand under a big umbrella. Suddenly, you feel the waves crashing against your feet, only to look down and see numbers, letters, usernames, and timestamps. You try to stand up, but you feel the tide of big data pulling you under… With a jolt, you wake up, realizing that you were having another nightmare about your security Data Lake and analytics.

The global threat intelligence market size was valued at USD 5.80 billion in 2024. The market is projected to grow from USD 6.87 billion in 2025 to USD 24.05 billion by 2032, exhibiting a CAGR of 19.6% during the forecast period. This tremendous growth translates into an increase in both the supply and demand for skilled professionals in threat intelligence.

The recent cyber breach at the U.S. Treasury Department, linked to state-sponsored Chinese hackers, has set off alarm bells in the public sector. As the investigation continues, this incident reveals a pressing issue that all government agencies must confront: securing their APIs (Application Programming Interfaces).

Much has been written about how AI, particularly Large Language Models (LLMs), will transform cybersecurity. Some say it'll be for the worse, and some say it'll be for the better. Although SURGe firmly believes that AI will end up helping defenders much more than it helps threat actors, it's sometimes hard to envision the exact form in which this help will, or should, come.

AI is revolutionizing our lives in terms of productivity, automation, customer service, and more. AI is becoming so important that organizations increased spending on compute and storage hardware infrastructure for AI deployments by 37% year-over-year in the first half of 2024, reaching $31.8 billion. However, like most technological advances, the good often comes with the bad.

‍Embracing cyber risk management during a time in which the average cost of a data breach nearly surpasses $5 million is not merely a strategic option; it’s an absolute imperative. ‍ This calculated move, however, is not as straightforward as deploying an end-point detection solution, for example, or conducting monthly cybersecurity awareness sessions.