JASK Raises $12 Million for AI-Enabled Security Analytics

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IT security specialists are short supply nowadays, so JASK is using artificial intelligence (AI) to help IT departments overcome the security skills gap and keep a watchful eye on their networks.

The San Francisco-based cybersecurity startup emerged from stealth this week with $12 million in fresh funding from a Series A round of financing. Dell Technologies Capital led the round with additional backing from TenEleven Ventures, Battery Ventures and Vertical Venture Partners. The latter two venture capital firms also participated in a $2 million seed round in early 2016.

As is becoming increasingly common in the IT security industry, JASK uses AI, machine learning in particular, to detect sophisticated threats. The company's platform monitors an organization's network, offering security personnel with threat intelligence across the entire attack surface, allowing them to prioritize their efforts on the most pressing or dangerous risks.

"JASK is dedicated to eliminating the inefficiencies within security operations by equipping security analysts with artificial intelligence," said Greg Martin, co-founder and CEO of JASK, in a statement. "We are excited to have both Dell Technologies Capital and TenEleven Ventures lead our Series A round; they have identified cybersecurity as a pressing concern and understand the necessity of machine learning technology and AI in driving innovation."

The new infusion of cash will be used to bulk up the company's data science teams and advance its own AI research, according to the company. "This funding allows us to execute on our vision to modernize security operations, and deliver new levels of agility and capability to security teams," added Martin.

Enlisting AI is becoming a common tactic to dealing with an unpredictable cybersecurity landscape.

Earlier this week, Barracuda Networks launched Sentinel, a cloud-based AI platform that detects and blocks sophisticated spear phishing attempts. By monitoring various facets of an organization's electronic correspondence, including an email's content and tone, Sentinel can spot sly attempts to fool employees into triggering a malware infection or letting attackers onto their networks.

Recently, Gaurav Banga, former CEO of virtualization security innovator Bromium, launched Balbix with $8.6 million in funding. The San Jose, Calif.-based company uses machine learning techniques to provide predictive risk analytics, showing the likelihood of a breach based on the threats detected on an organization's network and IT systems. Last month, CA Technologies unveiled its new CA Risk Analytics Network, which uses machine learning, neural network models and behavioral analytics to combat online fraud.