CrowdStrike vs Darktrace

March 18, 2025 | Author: Michael Stromann
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CrowdStrike
CrowdStrike's cloud-native endpoint security platform combines Next-Gen Av, EDR, Threat Intelligence, Threat Hunting, and much more.
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Darktrace
Darktrace AI interrupts in-progress cyber-attacks in seconds, including ransomware, email phishing, and threats to cloud environments and critical infrastructure.

The thing about cybersecurity is that it’s a bit like trying to spot a suspiciously well-dressed penguin in a crowded train station—both CrowdStrike and Darktrace claim to do it better than anyone else. They use artificial intelligence, machine learning and other sufficiently advanced bits of magic to detect, prevent and generally make life miserable for cybercriminals. They both operate in the cloud, meaning they are everywhere and nowhere all at once, watching, analyzing and possibly judging your firewall configurations in real time. Large enterprises rely on them to keep their digital trousers from falling down in public, which is all anyone really wants from cybersecurity.

CrowdStrike, an American creation born in 2011, is the kind of product you call when you need to track a cybercriminal halfway across the globe while sipping your morning coffee. It specializes in endpoint protection, which is a fancy way of saying it keeps an eye on everything from laptops to servers, making sure they don’t accidentally invite malware in for tea. Its Falcon platform is particularly good at peering into the abyss of cyber threats and taking detailed notes about who (or what) is misbehaving. If a hacker sneezes in Moscow, CrowdStrike probably knows what color their socks are.

Darktrace, emerging slightly later in 2013 from the UK, takes a different approach—one that involves teaching an AI to lurk in networks like a paranoid but extremely competent house cat. Instead of just waiting for known threats to show up, it spends its time learning what "normal" looks like and then hissing loudly when something seems off. This makes it particularly good at spotting insider threats or peculiar anomalies before anyone else notices them. It doesn’t just detect trouble; it attempts to autonomously respond to it, which is either reassuring or deeply unnerving, depending on how comfortable you are with AI making executive decisions about your company’s security.

See also: Top 10 SIEM software
Author: Michael Stromann
Michael is an expert in IT Service Management, IT Security and software development. With his extensive experience as a software developer and active involvement in multiple ERP implementation projects, Michael brings a wealth of practical knowledge to his writings. Having previously worked at SAP, he has honed his expertise and gained a deep understanding of software development and implementation processes. Currently, as a freelance developer, Michael continues to contribute to the IT community by sharing his insights through guest articles published on several IT portals. You can contact Michael by email stromann@liventerprise.com