By mixing machine learning and human intuition, attracted this week in a round that included investors from Access Venture Partners in Westminster and Service Provider Capital in Denver.
The Denver cybersecurity firm said it developed a threat-detection and response process where machines learn from .
For example, if a security analyst investigates an event and concludes it’s a false positive, Red Canary’s technology will “codify our analysts’ intuition” and suppress the same event in the future so analysts don’t waste time in the future re-investigating a threat they’ve already seen. In 10 months, the company said, this has resulted in suppressing 20.5 million events.
As Red Canary’s CEO Brian Beyer in a column about humans and IT security, “Software can be taught to identify anomalies and suspicious behavior, and can be an extremely powerful asset for defenders. But the attackers are real people who change behavior frequently, which is why there needs to be the same combination of technology and human intelligence on the defensive side.”
With the new funds, Red Canary, which employs 15 people, plans to double in size by the end of the year. It currently has on its site.
Red Canary’s Series A round also included investors from Noro Moseley Partners and existing investor Kyrus. The company previously had raised $2.5 million.
