Trustlook was founded in the year 2013 as a mobile security company, with a focus on protecting the Android platform. Their co-founder, Allan Zhang, a security industry veteran, envisioned a mobile security solution that would go beyond the existing tools available today, and detect and address zero-day vulnerabilities and advanced malware. Since then, the company has gone on to develop security solutions for network appliance makers and IoT devices. The company currently has offices in San Jose, CA and Hangzhou, China.
Trustlook believes that the future of cybersecurity lies in Artificial Intelligence (AI). There are too many threats, too many connected devices, and not enough manpower to keep computers safe without using machine learning and AI. In fact, many cyber attacks today are automated. This comes as a big threat to organizations that are still using manual systems and strategies to analyse security findings and contextualizing them with external threat information. When organizations use such outdated strategies and methods, it can take weeks, or even months, to identify intrusions, during which time attackers can successfully exploit vulnerabilities to breach systems and steal data.
In order to address these challenges, companies are exploring more effective uses of AI in day-to-day cyber risk management. This trend of using machine learning and AI is expected to intensify over the coming years.
“The recent WannaCry ransomware attack demonstrated the flexibility and efficiency of Trustlook’s security technology.”
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All security products from Trustlook are built with AI as their foundation, regardless of whether it’s a mobile product or an IoT one. An AI engine can process enormous amounts of fresh data on a regular basis. This ensures that the security product continuously learns and improves, resulting in high levels of accuracy that get better with time. What differentiates Trustlook’s products from its competitors is this AI technology, as well as their wide range of products. The organization provides products for consumers, app developers, OEMs, system integrators, and large enterprises.
Trustlook makes use of static and dynamic malware analysis, depending on the product. This can be explained by the way their mobile security and ransomware detection products function. While the former utilizes both static and dynamic analysis tools, looking for abnormalities, the latter is purely static based, with the goal of stopping ransomware before it can infiltrate a network and cause problems. But at the end of the day, regardless of which detection method is used, all products have machine learning and AI at their core.
The WannaCry ransomware attack of May 2017 was a perfect example of the flexibility and efficiency of Trustlook’s security technology. In just two days, the company’s engineers developed a scanner and vaccine toolkit to help mitigate the effects of this widespread outbreak. These lightweight tools greatly benefitted companies that were trying to find out which of their computers were infected. These tools quickly scanned the entire network to locate the worm, and helped prevent unharmed Windows computers from becoming infected.
The future of Trustlook looks promising, especially for their network appliance and IoT security offerings. Network appliances, which have been relying on an outdated security model for several years, are the perfect candidate for Trustlook’s next generation AI-based SECUREai Core product. Also, the organization’s IoT security solution is unique, and is in a space that desperately needs to take security seriously. These will be the main drivers of growth for Trustlook in the years ahead.