Tessian (formerly called CheckRecipient), the London-based startup that is deploying machine learning to improve email security, has raised $13 million in Series A funding. Leading the round is Balderton Capital, and existing backer Accel. A number of previous investors also followed on, including Amadeus Capital Partners, Crane, LocalGlobe, Winton Ventures, and Walking Ventures.
Founded in 2013 by three engineering graduates from Imperial College — Tim Sadler, Tom Adams and Ed Bishopon — Tessian is built on the premise that humans are the weak link in company email and data security. This can either be through mistakes, such as a wrongly intended recipient, or through nefarious employee activity. By applying “machine intelligence” to monitoring company email, the startup has developed various tools to help prevent this.
Once installed on a company’s email systems, Tessian’s machine learning tech analyses an enterprise’s email networks to understand normal and abnormal email sending patterns and behaviours. It then attempts to detects anomalies in outgoing emails and warns users about potential mistakes before an email is sent. This, the startup says, makes it different to legacy rule-based technologies and that Tessian requires “no admin from security teams and no end-user behaviour change”.
One neat aspect is that Tessian can get to work retroactively, producing historical reports that show how many misaddressed emails an organisation has sent prior to the installation date. That is bound to help with sales, even if it could give an enterprise’s security team quite a shock, especially in light of recent GDPR data regulation in Europe. The new EU directive stipulates that companies must report data breaches involving personal information to their local regulator and face fines as high as 4 percent of global turnover for the worst data breaches.
In a call late last week with Tessian CEO and co-founder Tim Sadler, he told me the company plans to use the additional funding for R&D, including the launch of new product, and to expand its sales and marketing teams. Since the startup’s seed round last year, the Tessian team has grown from 13 to 50 people.
In terms of future products, Sadler explained that is looking to apply its tech to in-bound email, in addition to Tessian’s current out-bound products. One way to think about email, he says, is that an email address is like an IP address for humans, enabling human to human networks. However, in terms of security, not only are humans an obvious weak point, acting as the gatekeeper to the network and the data that resides on it, email by design is inherently open.
To that end, Sadler tells me that next on Tessian’s roadmap is a way to make in-bound email less prone to data breaches. This will include using Tessian’s machine intelligence to identify spoofed emails or other unusual communication.
“What Tessian have done — and this is why we are so excited about them — is apply machine intelligence to understand how humans communicate with each other and use that deeper understanding to secure enterprise email networks,” says Balderton Capital Partner Suranga Chandratillake. “The genius of this approach is that while the product focus today is on email — by far the most used communication channel in the corporate enterprise — their technology can be applied to all communication channels in time. And, as we all communicate in larger volumes and on more channels, that represents a vast opportunity”.
Meanwhile, Sadler says the startup’s customers span legal, healthcare and financial services, but that any enterprise handling sensitive data are a potential fit. “World leading organisations like Schroders, Man Group and Dentons and over 70 of the UK’s leading law firms are now using platform to protect their email networks,” adds the company.
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