Deepfence nabs $9.5 million to build AI shields for cloud workloads


Deepfence, a startup creating a cybersecurity platform centered on defending cloud-native workloads, at this time nabbed $9.5 million in funding. The corporate says this funding follows a yr by which its revenues and buyer base greater than doubled.

Some 20% of organizations get hit with cyberattacks six or extra instances a yr, and 80% say they’ve skilled not less than one incident within the final yr so extreme it required a board-level assembly, in keeping with a report from IronNet. Furthermore, almost two-thirds of safety professionals who attended the 2019 Black Hat USA convention consider their group must reply to not less than one main cybersecurity breach throughout the subsequent 12 months. Final yr, that determine was 59%.

Deepfence, which was based in 2017 by Sandeep Lahane, Shyam Krishnaswamy, and Swarup Sahoo, affords options to guard serverless structure, digital machines, and containers from malicious attackers. Deployed as a set of microservices (i.e., loosely coupled companies and protocols), the AI-powered Deepfence platform measures and maps runtime assault surfaces to offer a protection towards identified and unknown threats.

Along with routinely discovering and visualizing working containers, processes, and on-line hosts, Deepfence delivers visibility into community flows, recordsdata, processes, and system-level actions. The startup’s platform also can spot and defuse advanced multistage and multivector assaults at runtime, enabling builders to kill, pause, clone, or quarantine tainted containers and processes with color-coded infrastructure to assist determine high-severity occasions.

Deepfence doesn’t rely on manually generated behavioral fashions or hand-coded static rulesets to detect intrusions. Somewhat, it screens and performs deep inspection of community site visitors, system, and app habits and correlates suspicious habits throughout a company’s infrastructure. Builders get forensic trails, together with packet captures, system calls, and anomalous points that may be routed by way of Slack, Pagerduty, HipChat, and different apps.

Deepfence has many rivals within the cloud safety house, together with Lacework, a four-year-old Mountain View, California-based developer of automated containerized workload protection, intrusion detection, and compliance options. There’s additionally Cato Networks, which just lately raised $131 million for its expertise that protects cloud-based computing companies. And in February Netskope, a cybersecurity firm that helps shield public clouds and web-based software program, secured $340 million at a $three billion valuation.

However Lahane says Deepfence’s early adopters had been drawn to the “novelty” of its runtime safety expertise. “We now have seen vital traction since we began commercializing final yr,” he instructed VentureBeat by way of e-mail. “Merely put, our clients love the actual fact we not solely detect and shield higher, but in addition displace level options that are centered solely on one modality, like containers.”

Deepfence’s funding spherical was led by AllegisCyber, with participation from Sonae IM and present investor Chiratae Ventures. The startup is headquartered in Milpitas, California with workplaces in Bangalore, India.

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