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Zscaler übernimmt Avalor

Zscaler strengthens cloud security with Avalor acquisition

Zscaler übernimmt Avalor

Zscaler, a renowned company in the field of cloud security, announced on Thursday the acquisition of Avalor, an Israeli startup specializing in artificial intelligence (AI) for data analysis. The transaction is estimated at around 310 million US dollars and is expected to enhance Zscaler’s security offerings with cutting-edge AI technology.

Zscaler promises enhanced security with Avalor AI

The acquisition of Avalor by Zscaler opens up new growth opportunities for both companies. With access to Zscaler’s extensive resources and data, Avalor will be able to fully leverage its potential. The co-founders of Avalor emphasize that this partnership represents a ‚perfect symbiosis‘. Together, they could achieve more than alone to further develop its AI technology.

Avalor’s technology offers a proactive approach to security, aiming to detect potential threats early and take appropriate actions. By analyzing large datasets, the software can identify suspicious activities before they escalate into major security issues.

The acquisition of Avalor by Zscaler comes against the backdrop of a recent surge in acquisitions of Israeli security startups. Major players like Palo Alto Networks and Crowdstrike have also made multiple acquisitions in Israel.

AI as a response to evolving cyber threats

Cybersecurity companies are increasingly relying on artificial intelligence (AI) to effectively combat the constantly growing threats in the digital world. There are increasingly sophisticated tactics by hackers aimed at stealing data and disrupting operations. Here, AI has proven to be an extremely valuable tool in defending against these dangers. By leveraging the analytical capabilities, predictive power, and adaptability of AI, companies can significantly strengthen their cybersecurity defenses.

In early March, Cloudflare introduced an AI model that offers personalized security strategies. It analyzes organizations‘ unique traffic patterns to detect and combat specific threats. This development underscores the growing recognition of the potential of AI to enhance cybersecurity posture in an ever-evolving landscape of threats.

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