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The wave of major mergers and acquisitions in the cybersecurity industry is still ongoing. CrowdStrike recently announced it will spend $740 million to acquire identity management startup SGNL, with the deal expected to close in the first quarter of 2027.
This reflects a very real issue: in the AI era, cyberattacks are becoming increasingly sophisticated, and authentication and access management have become the first line of defense. CrowdStrike’s flagship Falcon cloud security platform needs to upgrade this capability, so they are directly acquiring the technology. Data shows that CrowdStrike’s identity management business has already reached a quarterly revenue of $435 million, indicating this market is indeed valuable.
SGNL itself is not an unknown player. The company was founded by Scott Kriz and Eric Gustafsson, both with backgrounds at Google— their previous startup was acquired by Google in 2017. In February this year, SGNL raised $30 million in funding, with investments from Cisco and Microsoft.
Interestingly, the entire security industry is now in a frenzy of mergers and acquisitions. Last year, Palo Alto Networks CEO Nikesh Arora made a major move, spending $25 billion to acquire Israeli cybersecurity firm CyberArk; Google also spent $32 billion to buy cloud security startup Wiz. CrowdStrike itself announced several deal plans back in 2025.
The common logic behind these big deals is that companies need more comprehensive security solutions rather than piecing together a bunch of tools. CrowdStrike CEO George Kurtz explained straightforwardly—they aim to acquire excellent teams and innovative technologies so that clients can unify security services into a single platform, reducing partners, lowering complexity, and saving costs.
As AI technology continues to upgrade attack methods—from targeted attacks on Microsoft SharePoint to AI-driven cyberattack incidents disclosed by Anthropic—corporate investment in identity security is indeed accelerating. This wave of mergers and acquisitions may just be beginning.