This blog post is the first in a four-part series in which CrowdStrike’s Endpoint Protection Content Research Team will dive into various wipers discovered by the security community over the past 10 years. Our goal is to review in depth the various techniques employed by wipers that target the Windows operating system.
CrowdStrike today unveiled the next evolution of CrowdStrike’s industry-first IOAs: artificial intelligence (AI)-powered IOAs.
CrowdStrike is always looking for innovative ways to improve detection content for our customers. We believe a multifaceted approach that combines customer input, standardized testing and internal research is necessary to stop breaches today and in the future. At CrowdStrike, we never rest, because neither does the adversary.
In the cybersecurity industry, understanding the value and impact of the critical technology we use to keep organizations safe can often become lost in translation. This is undoubtedly the case with extended detection and response (XDR), where the continued misuse of the term has created more market confusion than clarity. The definition of XDR varies depending on who you ask.
Attacks and intrusions on our nation’s vital infrastructure — our electrical grid, water systems, ports and oil supply — are on the rise. For example, as reported by the Pew Charitable Trust in March 2021, hackers changed the chemical mixture of the water supply in Oldsmar, Fla., increasing by 100 times the level of sodium hydroxide (lye) in the water supply.
CrowdStrike data scientists often explore novel approaches for creating machine learning pipelines especially when processing a large volume of data. The CrowdStrike Security Cloud stores more than 15 petabytes of data in the cloud and gathers data from trillions of security events per day, using it to secure millions of endpoints, cloud workloads and containers around the globe with the power of machine learning and indicators of attack.
