Deepfence to Build AI for Cloud Services

Deepfence to Build AI for Cloud Services

Deepfence is a cybersecurity startup that focuses on providing security for cloud computing. They recently received $9.5 million in funding with only 10 employees.

Most organizations around the world report that they have experienced at least one cyberattack throughout their company’s existence. Over half of all businesses have been cyberattacked more than once. Tech companies are often concerned about cyberattacks because they are responsible for computer security and managing information security for staff and consumers. Since cloud computing is becoming more popular companies like Deepfence see this as an opportunity to grow their client base, but they are aware of the challenges that go a long with more widespread use of cloud computing.

Deepfence has a number of computer security offerings: protection for servers and serverless architecture, virtual machines, operating systems  and contains. There goal is to prevent each area from cyberattacks. The AI version of Deepfence uses analytics on computer security and recommends mitigation strategies before likely cyberattacks occur.

Deepfence also serves as a network traffic monitor that can be used to identify malicious packets. It Is a strong software for identifying vulnerabilities and threats and they inform management how they mitigated on its own or how the cybersecurity staff can do it.

Deepfence will be competing against all large tech companies that provide computer security solutions for the cloud. There are also smaller companies that are direct competitors as well: Lacework, a new intrusion detection product that has already hit the market, Cato Networks who just received a $131 million investment, and Netskope which already has a valuation of $3 billion.

Deepfence feels confident about its ability to compete in the market. According to Lahane , one of the company’s founders, stated the following: “We have seen significant traction since we started commercializing last year. Simply put, our customers love the fact we not only detect and protect better, but also displace point solutions which are focused only on one modality, like containers,” he reported to VentureBeat. “The pandemic has actually accelerated our growth significantly. Despite an initial adjustment period of uncertainty and budget cuts, Deepfence has more than doubled its customer base and revenues over last 5 months, almost entirely due to inbounds from community users who want to upgrade to enterprise version of our product due to its superior runtime protection capabilities.”

AllegisCyber led the initial funding round for Deepfence in addition to investments from Sonae IM and Chaetae Ventures. The headquarters is not in Milpitas, California and they have offices in Bangalore, India. They have raised $10.5 million to date. Even though that have raised significantly less than the competition, Deepfence believes that its AI capabilities will win over more consumers in the market.

What makes Deepfence different than the other platforms are its AI technology. The AI provides a comprehensive view of networks and systems simultaneously. With the other popular technologies users will have to scan sections of servers, virtual machines and operating systems one at a time. Deepfence’s AI platform allows users to run vulnerability assessments in all of the key areas simultaneously, which saves the user and the company a lot of time.

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